Job Description:

We are seeking an AI Engineer to design and implement AI-powered solutions using modern machine learning and deep learning frameworks.

Responsibilities:

• Develop AI applications using Python.
• Train and optimize deep learning models.
• Build NLP and Computer Vision solutions.
• Deploy AI models into production.
• Monitor model performance.
• Work with cloud AI services.

Required Skills:

• Python
• TensorFlow
• PyTorch
• OpenCV
• Hugging Face
• LangChain
• Docker
• Kubernetes
• AWS/GCP/Azure

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3. Machine Learning Engineer

Job Title: Machine Learning Engineer
Experience: 4+ Years
Location: Birmingham, UK
Salary: £58,000 - £80,000 per year

Job Description:

Join our AI team to develop scalable machine learning systems that improve business operations and customer experiences.

Responsibilities:

• Build ML pipelines.
• Deploy models using MLOps practices.
• Optimize model performance.
• Work with large datasets.
• Automate retraining workflows.
• Collaborate with software engineers.

Required Skills:

• Python
• SQL
• Scikit-learn
• TensorFlow
• MLflow
• Airflow
• Docker
• Kubernetes
• Git

Job Summary

We are seeking a skilled Data Scientist to transform complex data into actionable business insights. The ideal candidate will have experience in machine learning, predictive analytics, statistical modelling, and data visualization while working with large datasets.

Responsibilities

• Develop predictive and machine learning models.
• Perform data cleaning, feature engineering, and exploratory analysis.
• Build dashboards and reports using Power BI or Tableau.
• Collaborate with cross-functional teams to solve business challenges.
• Deploy machine learning models into production.

Required Skills

• Python, SQL, Pandas, NumPy
• Scikit-learn, TensorFlow or PyTorch
• Statistics and Machine Learning
• Power BI or Tableau
• Git, Docker
• AWS, Azure, or GCP

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Mathematics, or Statistics.
• Minimum 4 years of industry experience.

Salary: £65,000–£80,000 per annum

Title: PowerBI Data Analyst
Location: Hybrid

Hiring Manager Notes:

• Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
• Excellent communication is essential. This Statistician will:
• 1. Require a working knowledge of formal statistical analysis and causal modeling.
• 2. Use SQL to manipulate and model data.
• 3. Use Python or R perform statistical and causal modeling; create visualizations;
• 4. Use Tableau to create interactive visualizations

Additional Comments :

• We need strong Statistical Analysis candidate with hands on Tableau exp.
• We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don't have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
• Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
• Excellent communication is essential

This role will:

• Use Tableau to create visualizations
• Use SQL to manipulate and model data
• Use python to manipulate and model data; create visualizations;
• Require a working knowledge of formal statistical analysis and causal modeling
• Require excellent communication skills

About Us

Thrive is a rapidly growing technology solutions provider focusing upon Cloud, Cyber Security, Networking, Disaster Recovery and Managed Services. Our corporate culture, engineering talent, customer-centric approach, and focus upon “next generation” services help us stand out amongst our peers. Thrive is on the look-out for individuals who don’t view their weekdays spent at “a job”, but rather look to develop valuable skills that ignite their passion and lead to a CAREER. If you’re attracted to a “work hard, play hard” environment, seeking the guidance, training and experience necessary to build a lucrative career, then welcome to THRIVE!!

Position Overview:

We are seeking a Cognitive Threat Analyst with a strong focus on managing and optimizing Microsoft Sentinel and Defender XDR products. This role will be pivotal in enhancing our cybersecurity framework by leading the integration and utilization of these key security tools. Responsibilities include designing and optimizing SIEM rules for superior threat detection and incident management, deploying SOAR tools for automated security responses, and ensuring robust API security. The engineer will oversee the performance and security posture of our platforms, customize client reports, automate report delivery to platforms like ServiceNow, and meticulously document security processes. Additionally, the role involves analyzing SOC and SIEM data for actionable insights, creating security dashboards and response runbooks, and participating in client meetings as the primary security contact. Staying informed about the latest security trends and techniques is essential. This position is ideal for a detail-oriented individual eager to push the boundaries of cybersecurity and enhance client interactions.

Primary Responsibilities

• Lead the management of Microsoft Sentinel and Defender XDR products, including their integration with existing tools, utilizing them to elevate existing Security Operations
• Design and optimize SIEM (Security Information and Event Management) rules using FortiSIEM to enhance threat detection and streamline incident response activities
• Deploy and manage Endpoint Detection and Response (EDR) solutions, specifically FortiEDR, SentinelOne, and Defender for Endpoint to identify and mitigate endpoint threats effectively
• Design and implement automated security use cases and playbooks to accelerate incident response and remediation
• Assist in overseeing the implementation and management of API security measures, ensuring secure data transmission and compliance with industry-standard API security protocols
• Collaborate with clients to understand their reporting needs and requirements and customize reports accordingly
• Develop, maintain, and automate client-facing reports using our existing security tools. These reports should effectively articulate incident metrics and trends to both technical and non-technical audiences. This role also includes automating the upload of these reports to the ServiceNow client portal
• Create and maintain materials documenting our security processes, procedures, and technologies, along with the generation of automated reports for relevant stakeholders
• Provide expert guidance on alarm tuning and configuration tasks necessary for Security Service deployment to new and existing customers
• Take a proactive role in updating client Security presentations and discuss findings with our clients
• Perform comprehensive analysis of data from our SOC and SIEM to identify patterns, anomalies, and potential threats
• Design and implement client reports, dashboards, and metrics, and manage response runbooks and walkthrough documents
• Stay informed about the latest security events and techniques to enhance our operations and defense strategies
• Other duties as required

Qualifications and Required Skills

• Proven experience with Microsoft Sentinel and Defender XDR products
• Strong background in SIEM rule design and optimization
• Extensive experience in implementing and overseeing Endpoint Detection and Response (EDR) solutions
• Experience with SOAR tools and automated security response implementations
• Excellent communication skills for both technical and non-technical audiences
• Demonstrated understanding of cybersecurity threats and incident response procedures
• Knowledge of risk assessment tools, technologies, and methods
• Expertise in computer networking and security
• Passion for cybersecurity and continuous learning
• Must be able to work effectively in a team environment and collaborate within the team and with other stakeholders

About the Role:

As an AI-Powered Threat Detection Engineer, you’ll develop intelligent security systems that learn from threat patterns, predict malicious behavior, and automate incident response. You’ll work on the cutting edge of AI-driven cyber defense, designing tools that detect insider threats, advanced persistent threats (APT), and zero-day exploits.

This is a hands-on engineering role for someone who loves solving complex problems using AI, machine learning, and cybersecurity expertise.

Key Responsibilities:

• Build and deploy AI/ML models for behavioral analytics and threat scoring.
• Use real-time streaming data to identify and respond to emerging cyber threats.
• Integrate your models into SIEM and SOAR platforms for automated defense.
• Conduct red team vs. blue team simulations using generated attack data.
• Lead data engineering efforts for collecting, cleaning, and labeling threat logs.
• Work closely with cybersecurity analysts and DevSecOps teams.
• Research and implement deep learning approaches for malware classification.

 Required Skills:

• Solid foundation in cybersecurity principles and incident detection
• Strong coding skills in Python (Pandas, Scikit-learn, TensorFlow or PyTorch)
• Proficiency in data pipelines and APIs (Kafka, REST, Splunk, Elasticsearch)
• Experience with SIEM tools (e.g., QRadar, Splunk, Microsoft Sentinel)
• Understanding of log analysis, network traffic, and SOC processes
• Familiarity with threat frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain)

 

Desirable Skills:

• Experience with anomaly detection algorithms or unsupervised learning
• Exposure to graph-based analysis for threat hunting (e.g., Neo4j, NetworkX)
• Hands-on with Docker, Kubernetes, and cloud-based ML pipelines
• Cybersecurity certifications: CISSP, CISM, CEH, or Google Cybersecurity Cert

 

Why This Role Is Unique:

• You’ll design real-world AI systems that detect attacks before they happen
• Work with live, high-volume data from financial institutions and telecom networks
• Exposure to AI forensics, digital twin simulations, and advanced SOCs
• Training budget and mentorship to specialize in AI Cyber Defense

Overview

As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadlines. In addition, you will support with client pre-engagement activities, including scoping and proposal drafting, as well as researching application and infrastructure vulnerabilities, following responsible disclosure, and sharing such findings within the team.

Responsibilities

• Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
• Provide well-written, concise, technical and non-technical reports in English
• Perform vulnerability assessments and provide findings with remediation actions
• Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
• Manage and deliver penetration testing project activities within strict deadlines
• Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
• Any other appropriate job duties in line with the associated skill and experience of the post holder

Skills and experience required

• Proven industry experience in application and infrastructure penetration testing
• Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
• Ability in preparing and launching social engineering campaigns (both phishing and vishing)
• Strong understanding of OWASP, PTES and other penetration testing methodologies
• Knowledge of how modern web apps are designed, developed and deployed across different platforms
• Ability to program or script in your preferred language
• Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
• Relevant security qualifications (such as OSCP, CEH, GPEN)
• Good knowledge and understanding of network and OS principles
• Good knowledge of various operating systems
• Good knowledge of virtualization

Nice to have

• Knowledge of assessing cloud and hybrid environments (AWS and Azure)
• Knowledge of assessing mobile applications (iOS/Android)
• Knowledge of assessing hardware and embedded IoT devices

Personal Attributes

• Excellent spoken and written communication skills with strong attention-to-detail and accuracy
• A passion for security and networks
• Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
• Self-motivation with a commitment to continued development
• Ability to work independently and as part of a team
• Influencing and negotiation skills with the ability to build relationships at all levels
• Willingness to learn

Benefits

• 25 days annual holiday plus 8 paid public holidays
• An additional day’s annual holiday for your birthday
• Pension/401k contribution
• Subsidized gym membership
• Frequent team events
• Private Healthcare (individual cover only)
• Learning Allowance Benefit
• Flexible working policy

Company Overview

Target Defense Inc is the US arm of Bulletproof Cyber Ltd and is a trusted provider of innovative cyber security solutions. From CREST-certified penetration testing to professional consultancy services, the Target Defense team help protect businesses of all sizes against the evolving threat landscape.

Our cyber security services are the best way to stay one step ahead of the hackers, take control of your infrastructure and protect business-critical data.

Please note that as part of the recruitment process a criminal records check will be carried out by an authorised third party.

We are looking for an experienced Senior AI Data Engineer to design, build, and optimize scalable data infrastructure that powers advanced AI and Machine Learning solutions. You will work closely with Data Scientists, ML Engineers, and DevOps teams to deploy production-ready AI systems that drive business impact.

This role requires strong expertise in data engineering, cloud platforms, big data technologies, and AI/ML pipeline development.

 Key Responsibilities

• Design and develop scalable data pipelines for AI and ML workloads
• Build and maintain ETL/ELT processes for structured and unstructured data
• Develop and optimize real-time and batch data processing systems
• Deploy and manage ML models in production environments
• Implement data governance, security, and compliance standards
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Optimize performance of large-scale data systems
• Mentor junior data engineers and contribute to architectural decisions

 Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or related field
• 5+ years of experience in data engineering or AI infrastructure roles
• Strong programming skills in Python and SQL
• Experience with big data tools like Apache Spark, Hadoop, or Kafka
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience building ML pipelines using TensorFlow or PyTorch
• Strong understanding of data modeling and database design
• Knowledge of containerization tools like Docker and Kubernetes

Preferred Skills

• Experience with MLOps practices
• Knowledge of CI/CD pipelines
• Experience with data warehousing tools (Snowflake, Redshift, BigQuery)
• Strong problem-solving and leadership skills

 What We Offer

• Competitive salary ($160K – $200K)
• Performance bonuses
• Health, dental, and vision insurance
• Flexible remote work options
• Career growth in AI and advanced analytics
• Opportunity to work on cutting-edge AI project

Title: PowerBI Data Analyst
Location: Hybrid

Hiring Manager Notes:

• Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
• Excellent communication is essential. This Statistician will:
• 1. Require a working knowledge of formal statistical analysis and causal modeling.
• 2. Use SQL to manipulate and model data.
• 3. Use Python or R perform statistical and causal modeling; create visualizations;
• 4. Use Tableau to create interactive visualizations

Additional Comments :

• We need strong Statistical Analysis candidate with hands on Tableau exp.
• We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don't have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
• Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
• Excellent communication is essential

This role will:

• Use Tableau to create visualizations
• Use SQL to manipulate and model data
• Use python to manipulate and model data; create visualizations;
• Require a working knowledge of formal statistical analysis and causal modeling
• Require excellent communication skills

About the Role:

At EG Group, we’re on the lookout for a sharp, driven Cybersecurity Analyst to help us stay one step ahead of evolving cyber threats. If you're passionate about protecting systems, quick to react under pressure, and thrive in a fast-paced environment — this is your chance to make a real difference.

As a Cybersecurity Analyst at EG Group, you will be responsible for monitoring and triaging alerts escalated from partners and wider internal teams. You must have working experience of incident response and end-to-end security processes and procedures.

You will provide a comprehensive range of technical, operational, and risk management services. By working closely with our global teams, you will ensure adherence to industry standards, policies, and procedures, and proactively address emerging threats. This role plays a critical part in advancing a variety of security improvement initiatives.

What you’ll be doing:

• Manage daily monitoring and review of security incidents, ensuring proper logging and escalation.
• Lead remediation efforts for identified vulnerabilities, collaborating with other technology teams.
• Remediate incidents escalated from tier 1 SOC analysts.
• Assess the scope and impact of the attacks on affected systems and networks.
• Conduct incident response activities using IOCs to identify and contain threats.
• Stay updated on emerging threats and technologies.
• Maintain and tune XDE/MDR/EDR and supporting tools.
• Tracking the deployment and health of all rolled-out security products in the business.

This list is not exhaustive and may be added to or amended from time to time.

What we’re looking for:

• 2+ years of experience as a cybersecurity analyst in a SOC environment.
• Proficiency in Microsoft Sentinel SIEM, XDR/MDR/EDR or similar tools.
• Strong understanding of cybersecurity principles.
• Problem-solving skills with a strong technical background.
• Excellent verbal and written communication skills.
• Ability to work independently and effectively in a fast-paced environment.

Why Join EG Group:

• Performance Based Bonus Scheme
• Flexible working hours (8am – 10am start, 8-hour working day)
• Access to Apprenticeships and accredited qualifications
• Career development and progression opportunities within a global organization.
• ASDA Discount Card – 15% off all ASDA stores
• Free Secure Car Parking
• Waterside Café - freshly prepared meals at affordable prices

• Dress Down Fridays
• Prayer and Ablution Facilities

• Work Anniversary Rewards
• Free Eye Test

Who are EG Group?

EG Group is a leading global convenience retailer, operating a wide range of brands across multiple sectors including fuel, foodservice, and grocery retail. With a presence in up to 9 countries and a commitment to innovation and customer service, EG Group continues to expand its portfolio and reach. Our company is focused on delivering value to its customers, partners, and stakeholders through efficient operations and strategic growth.

Please note - the successful applicant will be subject to a DBS check which will be funded by EG Group.Show less

Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS:

At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.

**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time.

SUPERVISION RECEIVED:

Works under the general supervision of a higher grade.

EXAMPLES OF DUTIES:

Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;

Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;

Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;

Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;

Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;

Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;

Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;

Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;

Performs other related duties as required.

KNOWLEDGE, SKILLS AND ABILITIES:

Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;

Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;

Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;

Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;

Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;

Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;

Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;

Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;

Proven ability to communicate complex data analytics using clear and concise methods and presentation media.

EXPERIENCE AND TRAINING:

GENERAL EXPERIENCE:

Six (6) years of experience in a healthcare data analytical role.

SUBSTITUTION ALLOWED:

Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.

PREFERRED QUALIFICATIONS:

Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.

Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.

Experience with Epic electronic medical records platform.

Experience with data analytics related to value-based programs.

SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.

Why UConn Health

UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

An AI Security Analyst plays a crucial role in protecting artificial intelligence systems, models, and data against potential cyber threats. With the rapid adoption of AI across industries, ensuring the security and ethical use of these technologies has become a top priority. This role combines expertise in cybersecurity, data protection, and AI model risk management to create a safe digital environment for organizations.

The AI Security Analyst is responsible for identifying, analyzing, and mitigating security risks in AI and machine learning pipelines. This includes safeguarding sensitive datasets, monitoring for adversarial attacks, and implementing robust access controls. The analyst also evaluates vulnerabilities in algorithms and AI-powered applications to prevent exploitation.

Collaboration is a key aspect of this position. The analyst works closely with data scientists, AI engineers, and cybersecurity teams to establish secure frameworks for AI development and deployment. By integrating security best practices into each stage of the AI lifecycle, they ensure that models are both effective and resilient against threats.

Additionally, the AI Security Analyst leads efforts in compliance and governance. This includes aligning with industry regulations, ethical AI standards, and privacy laws to maintain trust and transparency. Incident response planning and threat modeling are also central responsibilities, helping organizations stay prepared for potential breaches.

The ideal candidate for this role has strong knowledge of cybersecurity principles, machine learning risks, and ethical AI practices. With a proactive mindset and problem-solving approach, the AI Security Analyst contributes significantly to organizational resilience and ensures that AI innovations are secure, reliable, and responsibly managed.

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Airbnb has become a global platform that connects travelers and hosts from over 34,000 cities. As such, it has collected a diverse set of numerical, textual, visual, and unstructured data, which can be mined for insights that will propel our community and product forward. We are looking for a talented Data Scientist to join our Central Strategy and Insights team, focusing on Revenue forecasting.

The Difference You Will Make:

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. This role is uniquely positioned at the intersection of data science and financial strategy, with a specific focus on developing and refining forecasting models within our revenue pipeline and hierarchy. We're looking for a self-starter with an entrepreneurial mindset who can deeply understand the nuances of our rapidly evolving business and its key revenue drivers.

A Typical Day:

• Develop, refine, and maintain forecasting models for the drivers in our revenue hierarchy, ensuring they align with overall financial strategy and business objectives.
• Collaborate closely with cross-functional teams, including Finance, Product, Engineers, and other Data Scientists, to ensure cohesive strategy and execution.
• Engage in stakeholder management, effectively communicating with various teams and levels within the organization to gather input and share insights.
• Drive the process of extracting actionable insights from complex data sets to influence business growth and strategic decision-making.
• Stay abreast of industry trends and advancements in data science to continually enhance our forecasting techniques and methodologies.

Your Expertise:

• BA/BS in a quantitative field such as mathematics, statistics, econometrics, or computer science.
• Minimum of 3 years industry experience in data science, preferably with exposure to financial and forecasting models focusing on revenue drivers.
• Strong communication and presentation skills, with a proven ability to convey complex data-driven insights to executive and senior management in a clear and concise manner.
• Proficient in statistical modeling and time series analysis.
• Expertise in SQL and relational databases, along with proficiency in programming languages such as R or Python.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Fraud Detection Specialist — Full Role Description

Role overview
A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.

Key responsibilities

• Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
• Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
• Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
• Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.
• Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
• Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.
• Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
• Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.
• Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.

Success outcomes

• Lower fraud losses and chargeback rates via faster, more precise interdiction.
• Reduced false positives and better customer experience through improved scoring and tuning.
• Clear, auditable investigations with timely, actionable reporting.
• Proactive controls that address new fraud vectors before they scale.

Core skills and tools

• Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.
• Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
• Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.
• Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.
• Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
• Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.

Typical day

• Triage and review queued alerts; prioritize high-risk cases.
• Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
• Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
• Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
• Summarize trends and recommendations for management.

Advanced/technical track (optional but valuable)

• Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
• Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.
• Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.

Common fraud types

• Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.

Career paths

• Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.

Role variants and titles

• Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.

Why it matters now

• Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.

TasksTasks

We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct impact for our customers in collaboration with a diverse set of consultants and data experts.
The following topics are of specific interest:

• Executes exciting project opportunities using Data and Analytics / Data Science skills with Fortune 500 companies across different industries including Aerospace, Automotive, Transportation, Consumer Goods, and Industrial Goods
• Owns and drives individual work streams during client engagements
• Analyzes current situation and develops clear understanding and critical perspective of underlying root causes
• Design discrete optimization solutions and independently develops and implements project concepts and final deliverables, including analytics approaches from understanding the challenge to solution implementation (e.g. in the areas of mixed integer optimization and resource-constrained network optimization)
• Supports the management and responsible parties of the project
• Serves as liaison to client management team and project team
• Supports business development by creating and presenting exceptional project proposals with direct support of leadership team
• Provides ongoing project feedback and other development support to Porsche Consulting team members

Qualifications

QualificationsQualifications

Qualifications:

• Willingness to travel (traveling domestic and abroad)
• Excellent command of English, where additional language skills are a distinct advantage
• Application of advanced optimization methods (describe problem/constraint set, apply/adjust heuristics and model assessment) to process real world data and planning restrictions in a business/management context

Required Qualifications

• Bachelors’ degree from renowned institutions of higher education, and demonstrated high academic track record. Major in STEM (Science, Technology, Engineering and Mathematics).
• 7 years of total relevant professional experience; or minimum of 5 years of relevant professional experience in conjunction with a graduate degree
• Progressive experience in project management roles and proven track record delivering projects
• Demonstrable expertise in the areas of analytical methods and technologies (e.g. machine learning, optimization and operations research) and selected frameworks/software (e.g. OpenMDAO, GEKKO or Gurobi)
• 2+ years of experience in data management and analytics platforms/programming (e.g. SQL, R, Python, Tableau)
• Experience with development and implementation of strategic initiatives or transformation programs
• High level of business acumen and consultative expertise
• Comfort in working in environments with a high degree of ambiguity and having the ability to define and independently drive towards clear objectives
• Expertise in qualitative and quantitative research
• Flexibility and willingness to travel up to 80%
• Excellent verbal and written communication skills
• Ability to structure large amounts of data into a clear narrative while driving appropriate focus on key elements and leading towards a defined outcome or recommendation
• Proficient computer skills with MS Office applications
• Strong desire to mentor and assist in the professional development of colleagues

Preferred Qualifications

• MBA or graduate degree from renowned institutions of higher education
• Second language fluency in Spanish or French a plus

At a Glance

At a GlanceAt a Glance

Porsche Consulting, Inc., a wholly owned subsidiary of Porsche AG, guides internal and external clients toward operational excellence through a unique combination of proven strategies and comprehensive implementation. Our mission is to develop enthusiasm for change within our clients to help them realize lasting gains. As a leading consultancy for putting strategies into practice, we have a marked impact on the businesses we work with: measurable results, solutions in place with lasting effect, clients eager to own our approach. As consultants we think strategically and act pragmatically. We focus on people. This is how we generate competitive success.

Currently enrolled in an accredited college or university Master's degree program. - Majoring in Computer Science, Statistics or a related STEM discipline. - Graduation date falls in May/June 2027 and beyond.
The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment will be available at the Amazon corporate site in Austin, TX. The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects: • We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities • Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. • As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. • This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.

• Previous technical internship(s).
• Effectively articulate technical challenges and solutions.
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.