Senior Data Scientist, Fraud Job at Robinhood (Menlo Park)

Senior Data Scientist

Are you brimming with fresh ideas to lead our Data Science team in providing dat...

Location

Belgium , Diegem

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7+ years of experience in Data Science
Coordinate the development and implementation of solutions with machine and deep learning at our customers
Assess the quality and performance of existing predictive models
Lead a team of talented Data Scientists
Master's degree (or equivalent through experience) in a field that is highly data-driven
Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
Well versed in open-source software and libraries in Python and/or R for machine and deep learning
Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus

Job Responsibility

Lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms
Apply skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more

What we offer

Mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Fulltime

Data Scientist

We are seeking a passionate, data savvy Data Scientist to join the Analytics tea...

Location

United States , Columbus

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Experience with programming languages R or Python
Business intelligence and data mining tools Tableau and Tableau Server
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Job Responsibility

Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery
Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success
Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python, R, and/or SAS
Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
Collaborate with Fraud and Risk partners to identify and mitigate threats to assets
Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion

What we offer

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Senior Data Scientist - Fraud Specialist

Are you looking for a new challenge? Fancy helping us shape the future of motor ...

Location

Spain , Madrid

Salary:

Not provided

Prima

Expiration Date

Until further notice

Requirements

Impressive academic achievements in Mathematics, Computer science, Physics, Statistics, Mathematical Engineering or Physical Engineering
2+ years of work/research experience in analytical fraud detection in the Insurance, Finance or Law Enforcement domain
Applied knowledge of network analysis, anomaly detection or risk scoring and segmentation using semi-supervised, self-supervised and human-in-the-loop machine learning techniques
Strong Python programming skills - especially in the data domain - and fluent use of GIT
Excellent English level, oral & written
Genuine, collaborative mindset that inspires and guides others

Job Responsibility

Design, build and evolve Prima’s proprietary predictive technology, in topics such as the prediction of future claims, tactical pricing, renewal probability, fraud detection and customer lifetime value, etc
Define and support the implementation in each country of the key tools to understand how the business is growing, for example: conversion, retention, emerging profitability. The monitoring tools need to be consistent at a global level and at the same time able to adapt to the different stages of evolution of each country
Support the countries in planning the pricing and UW strategy and consequent follow up
Develop a strong critical spirit and creativity that can act as an engine for Prima's growth

What we offer

Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year
Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you
Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support

Fulltime

New

Fraud & FinCrime Data Scientist

We're looking for a highly technical Risk Analyst/ Data Scientist to join our Fr...

Location

United Kingdom , London

Salary:

Not provided

Capital on Tap

Expiration Date

Until further notice

Requirements

Experience creating and optimising FinCrime detection rules and reports, ideally then building models from this
Highly analytical and comfortable conducting complex analysis using SQL and Python
Exceptional detail orientated, problem solving skills and the ‘can do’ attitude to thrive in a fast paced, high growth environment
Excellent collaboration skills and a natural team player
Strong verbal communication skills including the ability to clearly explain complex concepts to other analysts, business stakeholders and senior leadership
2.1 or above at degree level, preferably in Economics or STEM subject

Job Responsibility

Applying advanced analytics to maximise the efficiency and effectiveness of our Financial Crime detection processes
Supporting the launch of new products and balancing the need for robust fraud and financial crime controls whilst maintaining a positive customer experience
Working with external vendors to continually evaluate innovative or alternative products and tools
Proactively championing best use of AI to accelerate delivery of analytical output and as an integral part of our business solutions
Present and actively collaborate with a wide group of business stakeholders including Operations, Credit, Senior Management, and external business partners

What we offer

Private Healthcare including dental and opticians services through Vitality
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year

New

Senior Data Scientist

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field
7+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection
Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn)
Strong foundation in statistics, probability, and applied machine learning techniques
Experience working with large-scale datasets, telemetry, or graph-structured data
Ability to clearly communicate technical insights and influence cross-disciplinary teams
Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end.

Job Responsibility

Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions
Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships
Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response
Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development
Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment
Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models
Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response
Collaborate closely with engineering and product teams to integrate solutions into production platforms
Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment.

Fulltime

Data Scientist - Risk Analytics

We're looking for a Risk Analyst to join our Fraud & Financial Crime Team. You w...

Location

United Kingdom , London

Salary:

Not provided

Capital on Tap

Expiration Date

Until further notice

Requirements

At least three years of risk analysis experience ideally including credit cards, fraud or fincrime
Highly analytical and comfortable conducting complex analysis using SQL and Python
Exceptional detail orientated, problem solving skills and the ‘can do’ attitude to thrive in a fast paced, high growth environment
Excellent collaboration skills and a natural team player
Strong verbal communication skills including the ability to clearly explain complex concepts to other analysts, business stakeholders and senior leadership
2.1 or above at degree level, preferably in Economics or STEM subject

Job Responsibility

Owning, monitoring and continually optimising our fraud detection rules
Applying advanced analytics to maximise the efficiency and effectiveness of our Financial Crime detection processes
Supporting the launch of new products and balancing the need for robust fraud and financial crime controls whilst maintaining a positive customer experience
Working with external vendors to continually evaluate innovative or alternative products and tools
Proactively championing best use of AI to accelerate delivery of analytical output and as an integral part of our business solutions
Present and actively collaborate with a wide group of business stakeholders including Operations, Credit, Senior Management, and external business partners

What we offer

Private Healthcare including dental and opticians services through Vitality
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year

Fulltime

Senior Data Scientist, Algorithms - Identity

The Identity Data Science team aims to help create the most trusted community in...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics, economics, etc.), or 2+ years of experience with a Ph.D.
State-of-the-art knowledge of AI/ML models
Strong knowledge of causal inference
Skilled in statistical programming (Python or R) and database usage (SQL)
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Ability to translate complex findings and results into compelling narratives that drive impact
Excellent project management, communication, and collaboration skills

Job Responsibility

Improve on industry standards in identity verification by leveraging biometrics, NFC chips, Apple/Google integrations, and other advancements in identity verification technologies
Build high-performing statistical models for detecting identity fraud, such as computer vision models for identifying fake or tampered images, LLMs for surfacing suspicious user account attributes, or graph-based models for uncovering hidden clusters of bad actors
Automate and optimize human-in-the-loop ML processes for classifying fraud and generating other labels of interest for model training and evaluation
Deploy a real-time anomaly detection system for quickly identifying emerging threats across regions, cohorts, and platforms
Design intelligent sampling jobs for estimating rare events prevalence and other hard-to-measure metrics like recall and false positive/negative rates
Build and deploy production AI/ML models for detecting identity fraud and improving Airbnb’s identity verification systems (feature engineering, model development + evaluation, threshold selection, error analysis, model lifecycle management)
Conduct experiments and lead quantitative analyses for measuring impact, surfacing critical gaps, and identifying opportunities for improvement
Develop methodologies and frameworks for analyzing the tradeoffs associated with new interventions and propose strategies for optimizing impact
Deliver robust research reports with effective data visualizations, clear storytelling, and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering, and operations
Think strategically about opportunities to improve and scale our identity verification processes and defenses

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Platform Manager, Trust and Safety

As a Product Manager in the Trust & Safety team, you will identify customer pain...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years product management experience
Prior product, operation, or engineering experience in security, trust, safety, risk or fraud
Outstanding written and verbal communication ability to a diverse stakeholder audience, including a global team of C-level executives, product, and technical stakeholders
Strong analytical, troubleshooting, and problem-solving skills
Experience building machine learning products or technical product management
Experienced in design, and hypothesis driven product development
Entrepreneurial drive to achieve stretch goals in an innovative fast-paced environment
Exceptional collaboration, partnership and influencing skills with the ability to work in a global environment across multiple locations and time zones to drive consensus across teams
Experience leading teams through ambiguity, and high stakes trade off decisions

Job Responsibility

Creating vision and strategy for Trust & Safety products and platforms
Leading a cross-functional working group of engineers, data scientists, designers, operations experts, and policy experts to ensure alignment, execution, and launches
Maintaining product backlog and the product roadmap. Own prioritization process of product solutions based on business value and customer impact
Defining goals and success with clearly measurable objectives and key results
Building alignment across product teams (inside and outside of Trust & Safety), and Leadership/Executive teams
Anticipating bottlenecks, making tradeoffs and balancing the business needs, customer needs, versus technical or operational constraints
Presenting product roadmap and status to the business and Airbnb leadership on an ongoing basis. Communicate concisely and influence outcomes
Evaluating new product opportunities and bring forward proposals (buy, build, partner solutions) for new capabilities with data and users at the forefront
Developing short term plans aligned with long term goals to iteratively build platform capabilities to defend against fraud, abuse, safety, unwanted bad activities, etc
Becoming the thought leader and entrepreneur that others within Airbnb look up to for knowledge, processes, and methods on building products and platforms

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Scientist, Fraud

Robinhood

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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Job Posted:December 11, 2025

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December 11, 2025