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A 6-month consulting contract in London (hybrid, 3 days/week in-office) advising a market-insights and forecasts firm on optimizing its data science operating model, delivery processes, governance, and team design. Requires strong production Python/ML skills plus AWS, Docker, Kubernetes and CI/CD experience.
Fit4Me is hiring a Data Scientist to build and productionize ML models (LTV, churn, fraud/anomaly detection on payment data), run A/B test analyses, and turn statistical results into recommendations for leadership and product. Core stack: Python (pandas, scikit-learn, statsmodels), SQL/BigQuery, Amplitude, Git, MLOps pipelines.
Applied data scientist/engineer at Shift Technology building insurance-grade AI products (fraud detection, anti-money laundering, claim automation). Day to day: pipeline data from client extracts into SQL/ElasticSearch, develop, tune and productionize ML models, automate business tasks in C#, and meet with clients.
Builds predictive analytics and AI/ML systems to optimize member offers, products, and services using marketing, operational, and financial data; collaborates with cross-functional teams to integrate models into eCommerce, customer portals, and internal tools.
Information Data Scientist at Accenture Federal Services in Honolulu supporting US military command operations: building and refining IE-focused analytics products, integrating structured and unstructured data, developing models, dashboards and reports, and providing onsite SME support during command exercises. Requires 4+ years as a data scientist and an active Secret clearance.
Machine Learning Engineer / Data Scientist at VALUNY, a technology and innovation partner for Germany's statutory health insurance sector. The role involves building data science and ML solutions for healthcare, based in Hannover.
SICIS srl is looking for a freelance Data Scientist to do consulting work for its clients, either fully remote within Italy or hybrid at client sites. Day to day: statistical and ML model development in Python, SQL analysis, dashboards and reporting with Power BI/Tableau, and integration of AI services on Azure.
Capitole is hiring a Senior Data Scientist/ML Engineer in Spain to join an international data team, building AI solutions and predictive models that support strategic decision-making. The role covers the full model lifecycle—data analysis, experimentation, production deployment, and monitoring—working with both technical and business stakeholders.
Data Scientist at Pearl Certification leading advanced research and predictive modeling on residential housing and energy performance data. Day to day: applying causal inference, anomaly detection, and regression to improve the proprietary SCORE energy models, partnering with external research firms, and authoring white papers. Core stack: Python or R and SQL.
Senior full-stack Data Scientist at Keyrus Brazil (São Paulo, on-site) building end-to-end data solutions for consulting clients: starting with data engineering and automation (Python, SQL, PySpark pipelines, rule-based engines) and evolving to building, deploying and monitoring production ML models with MLOps practices.
A hands-on senior data scientist who owns the technical quality bar for models and analyses, builds production-grade data pipelines on GCP, and mentors other data scientists. Core stack is Python, statistics/ML and NLP, evolving notebook work into scheduled, reproducible cloud workflows.
Staff Data Scientist owning analytics for Quizlet's monetization businesses (subscriptions, ads, growth): building pricing/paywall experimentation programs, revenue-reconciliation pipelines, and causal measurement, then presenting insights to leadership. Core stack: advanced SQL, Python, dbt, Airflow, A/B testing.
A 4–8 month paid Data Scientist internship (starting January 2027) on Geotab's Insights & Integrations Consultancy team in Oakville/Waterloo. You'd explore telematics/fleet data, build dashboards and prototypes, and apply statistical and machine learning techniques using Python, SQL, and BI tools like Power BI or Tableau.
You join ELLISPHERE's 'IA Factory' team in Nantes as an AI/Data Science expert, turning technical signals into proofs of concept and production-ready AI components, especially for NLP use cases. The role spans exploration, modeling, and MLOps/productionization in close collaboration with business, product, and tech teams, with a strong data and DevOps culture.
Senior Data Scientist / AI Engineer designing and industrializing AI solutions for automotive projects: building generative AI, LLM, RAG and agentic AI systems, developing data pipelines in Python/PySpark, and working in Databricks with data, IT and business teams.
Data Scientist / AI Engineer at ELLISPHERE in Nantes: you prototype and industrialize AI on proprietary business data — credit/propensity scoring models, NLP and LLM/RAG use cases — then deploy and run your own components on Kubernetes. Requires 5+ years in data science or AI engineering, strong Python/ML foundations, DevOps skills (Docker, K8s, CI/CD), and fluent French.
Lead Data Scientist on 2GIS's DataLab team: analyze sales, user-behavior, content and marketing data, build and deploy ML models, develop metrics and dashboards, and run research. Core stack: Python/R, SQL, Apache Airflow, statistics. Remote across Russia or hybrid from Moscow, St. Petersburg, or Novosibirsk offices.
Onsite Operations Research Analyst / Data Scientist (contract-to-hire) at Fort Meade, MD, applying probability models, statistical inference, simulations, optimization, and data visualization to support military/agency decision-making. Requires U.S. citizenship and an active or interim DoD clearance (TS/SCI); pays $75-80/hr.
Data Scientist at SMS group in Pittsburgh who builds hybrid physics + machine-learning process models for steel production, working alongside process engineers. Day to day: enhance existing process models with ML, develop virtual/soft sensors, and own solutions end to end using Python, SQL, Git, scikit-learn, and TensorFlow/Keras.
Leads and grows Pinterest's Marketing Data Science team in New York, building marketing mix models, geo-testing, and incrementality analyses to quantify and improve marketing ROI. The role is hands-on with SQL/MySQL, Python, R, statistical and causal-inference modeling, and includes hiring and coaching data scientists.
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