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.
Growin is hiring a Data Scientist to join its team of data experts on projects across Portugal, with hybrid or fully remote options. Day to day, the role involves automating data collection processes and developing predictive models using algorithms, with Python and PySpark as the core technologies.
Tenova (Techint Group), an industrial solutions partner for the metals and mining industries, is hiring an R&D Data Scientist in Mississauga to analyze operational/test data and research, build, tune, and deploy machine learning models for manufacturing process control, optimization, and simulation. Day-to-day work centers on Python, ML pipelines, statistics, data cleaning, and KPI dashboards.
Senior Data Scientist in the BBC's Data Science – Media Tech department: a 19-month fixed-term, full-time role based in one of Salford, Glasgow, London or Newcastle-upon-Tyne, applying data science to BBC media technology, with a salary of £60,000–£70,000 depending on skills and experience.
About Us At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle…
Data Scientist / Machine Learning Engineer in Singapore who explores large datasets, builds and tunes ML models, and deploys them to production via APIs while collaborating with software and DevOps teams. Core stack: Python, SQL, plus frameworks such as TensorFlow or PyTorch.
Data Scientist at Quod Financial in Paris working on internal and product AI/ML projects for capital-markets trading software. Day to day: analyse client projects, build AI agents and MCP, support data engineering, and present prototypes to drive client decisions.
Machine Learning Engineer / Data Scientist for an aerospace technology company in Venice, hired via Randstad. Day to day: analyzing engineering time-series data and building ML/DL models for anomaly detection, classification and forecasting, then integrating them into cloud or embedded applications. Core stack: Python/MATLAB, pandas, scikit-learn, PyTorch, Keras, Git.
Data Scientist II at JobCubby: analyze data from multiple internal sources, build and maintain data processing pipelines, and apply descriptive, predictive, and prescriptive analytics while monitoring model performance and presenting results to stakeholders. Core stack includes Scala, Python, SQL, and BI tools.
Senior Data Scientist/Algorithm Engineer at Honeywell designing and deploying advanced AI, ML, and optimization algorithms for building automation and energy management. Day to day, you model, simulate, and operationalize data-driven solutions across cloud and edge environments (including scalable microservices) while mentoring engineers and collaborating with global teams.
Senior Data Scientist at Forge Holiday Group (Sykes Holiday Cottages, Forest Holidays, Bachcare), based at the Chester HQ with hybrid working, reporting to the Head of Data Science. Salary up to £70,000 per annum, full-time (37.5 hours, Monday to Friday).
Data Scientist at HSBC working in Financial Crime Risk (AML, sanctions, fraud, investigations), leading delivery of AI/GenAI solutions from development to production in a regulated banking environment. Core stack includes Python and/or JVM languages, REST/gRPC APIs, and microservices.
Data Scientist to be the first hire in a new data function at a Real Estate/Proptech company, supporting marketing and sales through predictive modelling, statistical analysis and data visualisation using Python, R, SQL, Excel and Salesforce. 3-month outside-IR35 contract with hybrid working in Soho, West London.
Salary: £25,000 - 65,000 per year Requirements: We are looking for someone who is curious and has a real desire to learn and create. We are looking for someone who is relentless and keeps going even when it is easier…
Senior Data Scientist at LexisNexis Risk Solutions in Central London, joining the MarTech Marketing Automation team. Day to day they build scalable marketing data pipelines and data models (CDP, segmentation, attribution), ensure data quality and GDPR/PII governance, and enable BI and real-time decisioning using SQL, Airflow/dbt, cloud platforms (Azure/AWS/GCP), and Power BI/Tableau.
Visa Hunt in Singapore is hiring an experienced ML Engineer & Data Scientist to explore data, translate business problems into analytical solutions, and design, train, and deploy scalable production ML models, working alongside software, DevOps, and data teams.
Lead a small data science team in StoneX Group's Bogotá office, delivering applied analytics, machine learning, and data products for global business and technology stakeholders. The role blends hands-on technical work (Python, SQL, Databricks, MLflow, model serving via APIs) with team leadership, delivery ownership, and stakeholder management.
Do Work That Matters AI & General Model Validation (AIGMV) provides independent technical challenge and review of the Group's most important ML and AI models, across business and support units. See yourself in…
Data Scientist in Commonwealth Bank of Australia's Global Markets team, shaping high-impact institutional banking use cases while mentoring the next generation of data science talent. Day to day involves building agentic AI, cloud platform and advanced modelling solutions in a commercially focused environment in Sydney.
Senior Data Scientist at Commonwealth Bank of Australia in Sydney building ML, GenAI and agentic-AI solutions for customer service at enterprise scale. The role involves hands-on model delivery while shaping data strategy, data governance and responsible AI practices.
Builds and ships machine learning solutions at hiberus Argentina: designing CV, NLP and predictive models, orchestrating generative AI flows (LLMs, RAG, prompt engineering), and moving experiments into monitored production pipelines. Core stack: Python, PyTorch/TensorFlow/Scikit-learn, SQL, and AI APIs like Gemini/OpenAI.
We couldn't check your fit for this role — add a CV to your profile to see it next time.