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.
Medior data scientist / ML engineer at Allianz Direct (digital insurer) in Rotterdam, building and deploying machine learning models end-to-end for pricing, claims, and customer operations on a Python, Databricks, AzureML, and MLflow stack. Hybrid role requiring residence in the Netherlands.
Data Scientist at Sonae Data (Sonae group) building and deploying machine learning models and advanced analytics on data from the group's businesses (retail, financial services, telecom, etc.). Works with stakeholders and data engineers using Python, SQL, and cloud platforms (AWS/Azure/GCP), with strong MLOps/LLMOps practices. Hybrid role based in Porto or Lisbon.
A 3-year postdoc in Maastricht University's Department of Physiology (CARIM), developing deep learning and transformer-based models on large-scale multimodal cardiovascular data (ECG, device and wearable recordings, EHR) to detect and predict atrial fibrillation and support personalized AF management within the AF-B-STEP consortium.
Administers and develops Viega's Laboratory Information Management System (LIMS) worldwide: configuring and maintaining the system, integrating lab software with devices and surrounding systems, and producing global data analyses and dashboards. Core technologies: SQL, Python and Power BI; hybrid work from Attendorn.
Senior Data Scientist in Danfoss Digital Solutions' Utility team, building the modelling and optimization core for district heating/cooling: physics-based thermo-hydraulic network simulation calibrated with live data, MILP-based production optimization, and system-level optimization across production, network and demand. Mainly Python; based in Copenhagen or Kolding, Denmark.
Data scientist at the FIOD (Dutch fiscal crime investigation service) at Schiphol, building statistical models and analytics products using SAS, SQL, R and Python to help detect organized financial crime such as money laundering, drug smuggling and customs fraud, working directly with analysts and investigators.
Summer 2027 onsite internship in Chicago with the National Futures Association's Centralized Data Science and Analytics team: the intern builds application tools in Python/R, Tableau dashboards, and SQL queries supporting regulation of the derivatives markets, starting full-time in June 2027 at $30/hour.
Manages Nestlé Brazil's Data Science, Machine Learning and AI products — leading technical strategy, production reliability, monitoring/MLOps and model lifecycle governance while developing multidisciplinary teams. Core stack includes Python, SQL, and analytics/AI platforms like Databricks and Snowflake.
Data Scientist at HARTING in Mexico City who builds, deploys, and maintains forecasting, predictive, and classification models on Azure and Databricks, prototypes Generative AI/LLM solutions, integrates APIs and SAP data, and automates business processes with Python.
Bioinformatician/data scientist at Humanitas' AI Center analyzing clinical, -omics and medical imaging data and building multi-modal machine/deep-learning models for precision medicine in rare hematological diseases. Daily work spans data harmonization, model development, and clinical validation using Python, R, Docker, and cloud/HPC.
Leads data science work for marketing at Farmers Insurance, building customer analytics like CLTV, retention and lead-optimization models and managing their deployment through MLOps while coaching direct reports. Requires 5+ years of analytics experience with Python; hybrid/remote US role.
Lead Data Scientist at Farmers Insurance in Woodland Hills, CA (hybrid, with a US-remote option) who owns complex data science projects in consumer analytics such as retention, agency economics, and lead optimization. The role centers on Python, SQL, ETL (SSIS), predictive modeling, Tableau, and managing model deployments via MLOps while mentoring teammates.
Senior Data Scientist at Farmers Insurance applying advanced analytics, machine learning, and statistical modeling (Python, SQL, R/SAS, Snowflake, AWS) to consumer analytics and business decisions. Leads projects end to end, manages MLOps deployments, mentors junior data scientists, and presents insights to leadership in a hybrid US-based role.
A 12-month fixed-term postdoctoral Research Associate post at Newcastle University's NIHR Biomedical Research Centre, analysing single-cell, spatial-proteomics and multi-omics datasets from human tissue samples to identify disease pathways in inflammatory arthritis. Core skills: R, Python and advanced bioinformatics.
Schaeffler is hiring an AI Data Scientist in Brasov, Romania to design, build, validate, and deploy machine-learning and deep-learning models on industrial data within Industrial Lifetime Solutions — spanning data preparation, predictive modeling, and integration of AI into production software alongside engineers and product managers.
Solution Architect / AI Specialist in Hyderabad who architects and delivers end-to-end enterprise AI and GenAI solutions (RAG, agentic workflows, copilots, document automation), leads technical discovery and advisory, and integrates AI into enterprise platforms including SAP. Core stack: Python, LLMs/RAG, REST APIs, Azure AI, and agent frameworks like LangChain or Semantic Kernel.
At Telefónica in Madrid, this role turns Supply Chain and Procurement business needs into analytical solutions built in Power BI and PowerApps: identifying and building use cases, writing user manuals, validating results with business users, and supporting the PMO with initiative tracking and risk logging.
Senior Clinical Data Scientist at Novo Nordisk who drives clinical trial data activities from trial setup through regulatory submission, producing SDTM/ADaM/TFL deliverables with global trial teams. Core stack is statistical programming in R or SAS plus clinical data models and GxP standards, based in Søborg or Aalborg, Denmark.
Data Scientist at American Modern (a Munich Re specialty insurer) supporting catastrophe modeling and portfolio risk analytics: managing and validating exposure data, building recurring reports/dashboards, and collaborating with modelers, underwriting, and actuarial teams. Core stack is Python and SQL, with Databricks and Power BI as pluses; onsite/hybrid in Amelia, Ohio.
DiaSorin is hiring a Clinical Data Scientist in Austin, TX to develop, maintain, and validate clinical study databases and EDC/eCRF systems supporting in vitro diagnostic products. Day to day includes data entry and QC, database validation and training, statistical analysis and reporting, and coordination with clinical, regulatory, and cross-functional teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.