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

Senior Data Scientist

Microsoft’s Identity organization secures hundreds of millions of daily signins ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design, build, and operate machine-learning–based detections to prevent fraud and abuse across Microsoft Identity services
Lead signal and model design by defining features, labels, heuristics, and training approaches using supervised and unsupervised techniques
Analyze large-scale authentication, access, and traffic data to identify emerging abuse patterns and translate them into automated detections
Productionize models for low-latency online scoring, implementing guardrails, dynamic thresholds, and safety mechanisms to minimize customer impact
Design and analyze experiments (A/B tests, holdouts) to evaluate detection effectiveness and quantify tradeoffs such as false positives and false negatives
Define and monitor key metrics and dashboards to track model performance, data quality, and drift, enabling rapid iteration and response
Partner cross-functionally with engineering, product, and security teams to harden pipelines, align on success metrics, and support incident response and investigations
Document designs and findings clearly and contribute to reviews, readiness checks, and continuous improvement of detection systems

Fulltime

Senior Data Scientist

We are looking for a Senior Data Scientist to join our mission to make our platf...

Location

Spain , Barcelona

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, data science, statistics, mathematics or related field (or equivalent experience)
At least 5+ years of proven experience applying ML methods to build and deploy production-grade models (e.g., XGBoost, Random Forests, Logistic Regression, Neural Networks, Transformers)
Strong proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, XGBoost), with proven experience applying classical ML to structured and time series data, including feature engineering, model evaluation (e.g., precision/recall, AUC), and deploying scalable models (e.g., XGBoost, Random Forests, Logistic Regression) to production
Solid understanding of ML/DS best practices, including model validation, A/B testing, feature engineering, and pipeline management ensuring quality and robustness of data science outputs
Practical experience with Large Language Models (LLMs) for tasks such as classification, summarization, or risk signal extraction from unstructured text, with a clear understanding of evaluation and ethical considerations in production use
True team player mentality, with excellent communication skills including ability to explain complex ML results to non-technical stakeholders

Job Responsibility

Understand fraud patterns, user trust needs and identify where Machine Learning can bring the greatest impact
Train and evaluation of ML models from scratch or fine-tune existing ones for fraud detection and behavioural analytics
Work as part of an agile cross-functional development team with a “win together, lose together” mindset, having end-to-end responsibility from design and development to deployment, monitoring, and maintenance in production
Engineer and select features from large, complex datasets to improve model accuracy and robustness
Monitor and evaluate ML models in production, conduct model experiments, comparing variants and identifying improvement and retraining needs
Ensure data and model quality, integrity, and reproducibility in production environments
Share your knowledge, evolve best practices with your colleagues to boost machine learning at Kleinanzeigen strengthening our ML community
Proactively identify opportunities to apply ML for fraud detection and increased user trust
Promote ethical AI use, ensuring fairness, transparency, and accountability in all models developed
Proactive collaboration with data and application engineers to shape data models and ensure ML-readiness for production

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow
A range of locally relevant benefits

Fulltime

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

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

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

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 Responsibility:

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Job Posted:December 11, 2025

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