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.
A senior data scientist at Nestlé IT & Digital builds and deploys production demand-forecasting models for Nestlé USA's supply chain, automating weekly forecasts with ML Ops and embedding GenAI/Agentic AI into forecasting workflows. Core stack includes Python, SQL, Databricks/Snowflake/Azure, and Power BI.
Leads CPW (Nestlé's cereal joint venture) advanced analytics capability from Tour-de-Peilz, Switzerland in a hybrid role: managing data scientists plus a dotted-line team in Mumbai, and turning commercial questions into predictive forecasting, RGM, optimisation and AI/ML solutions, with Power BI and cloud-based analytics.
Data Scientist role at The George Institute for Global Health, a global health research organisation, based at its Hyderabad office (a New Delhi office address is also listed). The posting provides no day-to-day duties or tech stack beyond the job title and office locations.
Hybrid Madrid role at Fujitsu evaluating and monitoring LLM/GenAI models in production: benchmarking providers like OpenAI and Anthropic on performance, latency and cost, building testing/evaluation pipelines and dashboards, and working with IAOps/MLOps teams on observability and AI governance. Needs 2+ years' experience, AWS skills, and fluent Spanish and English.
Data Scientist / AI Engineer at Fujitsu in Madrid (hybrid) who designs, builds and scales AI systems based on bots and autonomous agents, turning business processes into automated, traceable workflows. Core stack: Python, agent frameworks (LangChain, LangGraph, Semantic Kernel) and AWS services like Bedrock, Lambda and API Gateway.
Data Scientist on MC's Elergone innovation team, building forecasting, optimization and control solutions for energy transition systems (photovoltaic, storage, EV mobility, flexible loads and energy markets). Works end-to-end — from data treatment and modelling to operational deployment — primarily with Python, SQL, databases and APIs.
Data Scientist on MC's Elergone innovation team in Leça da Palmeira, Portugal, designing and operationalizing forecasting, optimization and control solutions for distributed energy systems (solar PV, storage, EV mobility, flexible loads). Core work is data modelling and end-to-end delivery with Python, SQL, databases and APIs.
Data Scientist at MC's Elergone/Innovation team in Leça da Palmeira, Portugal, building end-to-end forecasting, optimisation and control solutions for the energy transition — modelling PV generation, storage, electric mobility, consumption and market signals, primarily with Python, SQL, databases and APIs.
Serves as Project Material Manager on small Fluor EPFC projects in Raleigh, leading purchasing, expediting, and field procurement staff, negotiating equipment and bulk material packages, and managing the Material Management Work Process in line with corporate procedures.
Data Scientist at Grupo Santalucía, a Spanish insurance group, working in Madrid to design, build, and maintain machine learning and generative AI solutions (LLMs, agentic AI) for real business use cases. Core stack: Python and PySpark, with a focus on model evaluation, monitoring, KPIs, and data governance.
Leads the technical strategy of Santalucía's digital channel for non-life (home) insurance: defining risk appetite, target segmentation, underwriting rules and marginal-value frameworks, while monitoring loss ratios and profitability by segment and coordinating with Product, Digital Marketing, Data and Management Control.
Builds and monitors advanced analytical and actuarial models — risk segmentation, LTV, price elasticity and dynamic discounting — to optimize the profitability of Santalucía's digital insurance channel. Works mainly with Python, SQL, machine learning, actuarial software (Akur8, Radar) and BI tools, coordinating with tech teams to productionize models.
Senior Data Scientist in Singtel's AIDA (AI & Data Analytics) unit, building and productionizing marketing AI models — churn/propensity, segmentation, cross-sell, and GenAI/LLM applications — using Python, SQL, Spark, Databricks, and cloud platforms to support telco product and lifecycle marketing decisions.
Senior Data Scientist in Singtel's new AIDA (AI & Data Analytics) unit, designing and productionizing enterprise-scale AI/ML models for pricing optimization, anomaly detection, and forecasting across network, customer, financial, and operational data. Core stack: Python, SQL, Spark, Databricks, LLMs/Generative AI, cloud platforms, and MLflow/Airflow.
A 3-year fixed-term data scientist role at Hannover Re UK in London, building analytics infrastructure (R packages, databases, apps) and applying data science to quantify mortality and morbidity risk for life & health reinsurance pricing. Core stack: R/Python, SQL, Git/DevOps, cloud, GLM and tree-based models.
An Associate Data Scientist at HAVI applies predictive and prescriptive analytics (AI/ML/GenAI, optimization, simulation, forecasting) to solve clients' supply chain problems like demand forecasting and inventory optimization. The hybrid role is based in Chicago and relies on Python, Databricks, Azure, and GenAI/prompt engineering.
A (Senior) Data Scientist at REWE Group's Analytics division in Cologne drives advanced-analytics and ML projects for German grocery retail end to end — building and productionizing models for forecasting, classification, recommendation and scoring, managing data in GCP/BigQuery, Snowflake and Spark with Python and SQL, and mentoring junior colleagues.
Senior Data Scientist at Munich Re's HSB subsidiary in Hartford, CT, working independently on predictive analytics and machine learning projects of any scale, mentoring junior data scientists, and managing a portfolio of client-facing projects using Python, R, SQL, Scala, big-data and deep learning tools in an insurance setting.
Data scientist embedded in Munich Re's Global Markets finance and actuarial function in London, applying data science to financial and actuarial data: building predictive models, automating manual Excel-based processes with Databricks pipelines, and delivering Power BI dashboards and insights to business stakeholders.
Principal Data Scientist on American Modern's (a Munich Re company) Predictive Analytics team, leading personal lines pricing model strategy: developing, deploying, monitoring pricing models, managing regulatory rate filings, and mentoring junior data scientists. Core stack includes R, Python, GLMs/GBMs, and big-data platforms like Databricks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.