Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Position: Data Scientist Department: AI Growth Reporting to: Data Science Manager Location: London or Amsterdam Hybrid role: 3 days a week from our office & 2 days working from home Full time / Part time role: Full…
About Translated Translated is a leading provider of AI-powered language solutions. Founded in 1999 by a linguist and a computer scientist, we are on a mission to allow everyone to understand and be understood in their…
A Senior Data Science Researcher at insurtech Honeycomb joins the AI team behind underwriting, quote-time risk scoring, and portfolio analytics, owning open-ended research directions in risk, catastrophe/environmental, and behavioral modeling from problem framing to production deployment. Requires strong quantitative/mathematical research background (MSc/PhD) plus production ML experience.
As Attain’s VP of Data Science, you’ll own the science behind our products, and be the person clients and partners trust when they want to stress-test our numbers. Attain’s differentiation isn’t just that we have data;…
Turn product data into better decisions, experiences, and measurable customer impact. Smartly is an AI-powered advertising platform uniting creative and media workflows. We are looking for a Product Data Analyst who…
About the Role: As the Lead Analyst, Performance Marketing Analytics within Expanded Core, you will serve as a senior analytical partner to our performance and paid marketing teams. Reporting to the Manager of User…
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.
A hands-on principal role owning the architecture and end-to-end delivery of AI/ML systems — propensity and uplift models, forecasting, and optimisation — for a gaming-sector client. Leads a pod of ML/data engineers, builds production pipelines on GCP/BigQuery with Python and SQL, and acts as the client-facing technical lead.
The Product Manager will lead the attribution and measurement strategy for TEGNA's ad tech platform, focusing on causal rigor and incrementality. They will define measurement roadmaps, manage MRC accreditation, and collaborate with engineering and data science teams to build robust reporting models.
Remote ML engineer to develop Flowwow's recommendation systems, evolving them from a rule-based baseline to ML models: building training/inference pipelines and running an offline-validation + A/B experiment loop. Core stack: Python, PyTorch/TensorFlow, SQL, Linux/Git/Docker, plus vector DBs, feature stores, and MLOps tooling.
Senior data scientist on Google's Ads measurement team, developing causal-inference and statistical methods to measure ad impact across Search, Display, Apps, TV and YouTube. Day-to-day involves designing measurement methodologies, running user- and geo-level experiments, building scalable analysis pipelines, and mentoring, using Python, R and SQL.
Lead Data Scientist on Wise's London Pricing team, designing pricing experimentation frameworks, price-elasticity and revenue models, and automated data pipelines for cross-border money transfers, applying machine learning, causal inference and A/B testing to push prices down.
Data Scientist, Analytics on Appier's Ad Cloud: mines campaign, auction, and user-behavior data to find performance levers in ad bidding, designs and reads high-volume A/B tests on live campaigns, and builds metric frameworks, data pipelines, and dashboards. Core stack is Python, expert-level SQL, and PySpark, working closely with ML scientists, engineers, PMs, and operations.
Lead/manager-level data scientist at Grab (onsite in Petaling Jaya) driving paid digital marketing measurement for the Growth Data Science team: designing attribution models, incrementality and geo-lift studies, media mix modeling, and causal inference, while building AI/ML-powered analytics tools and data pipelines with Python, SQL, and Spark.
A 6-month data science internship with Tencent Games in Singapore, analyzing large-scale gaming datasets using Python, SQL, statistics, machine learning, and generative AI to deliver business insights and build data pipelines.
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed…
We are seeking a highly analytical and results-oriented Senior Data Scientist to drive experimentation and decision science initiatives that inform key business decisions. This role will partner closely with business…
AVEVA is creating software trusted by over 90% of leading industrial companies. We are looking for a Product Intelligence Data Scientist to build a unified intelligence layer that transforms raw usage signals,…
The Business Intelligence Analyst will own critical analytics used to drive subscription growth, retention, and revenue optimization. This role partners closely with Marketing, Product, and Finance to turn complex…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
