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 data science lead in Riyadh who builds and deploys predictive ML models, delivers actionable insights to stakeholders, automates analytics/reporting workflows, and monitors and maintains production ML pipelines. Core stack includes Python, SQL, Spark, and MLOps practices.
Six-month Data Science internship (starting January 2027) at Artefact, a data & AI consulting firm in Paris. The intern delivers client data projects, communicates results, works closely with consultants and clients to understand needs, and develops new technical approaches using data science, web analytics, DMP, datalake and dataviz.
Hitachi India is hiring a Data Scientist / AI & ML Engineer in Bengaluru on a full-time fixed-term contract to build, train, and deploy ML, deep-learning, and LLM-powered solutions — including RAG and agentic AI systems — using Python/Java/Scala, Spark-Hadoop big data stacks, cloud platforms, and modern data pipelines.
A senior data science role at Amadeus focused on airline Offer Optimization: designing dynamic pricing and revenue management models, building real-time optimization algorithms, and managing large-scale data pipelines. Core stack includes Python, Java/Scala, PySpark, ML frameworks (PyTorch, TensorFlow, XGBoost), Hadoop/Spark, and Kafka.
Senior Data Science Engineer at Amadeus building advanced ML models for dynamic pricing and revenue management in airline environments: real-time optimization, large-scale data pipelines, and revenue-focused machine learning. Core stack includes Python/Java/Scala, PyTorch, TensorFlow, Kafka, SQL, and visualization tools.
Senior Data Scientist at Hammerjack in Pasig, Philippines, building ML models and Generative AI applications along with ETL pipelines, statistical analysis, and Power BI dashboards that support business decision-making. Work is onsite with focus on data quality, governance, and stakeholder collaboration.
A Python backend engineer on V2 Solutions' Analytics and Development team in the Philippines builds UI-backed applications that solve real-world problems using GenAI/GPT, deploying to cloud platforms like Azure or AWS. Core stack: Python with SQL and web frameworks (Flask/Django), plus front-end familiarity (HTML, JavaScript, React).
On-site Product Analyst at Higgsfield AI (generative AI video creation) in Almaty, Kazakhstan. Owns product measurement end to end: defining core metrics, instrumenting events, designing and honestly reading A/B tests, and running funnel/pricing/retention analysis using SQL, Python, and BigQuery.
Owns production ML for personalization and monetization at Higgsfield AI: recommender/ranking systems, uplift-based offer targeting, churn and propensity models, and multimodal generation features. Ships models end-to-end in Python/SQL with gradient boosting, neural rankers, randomized holdouts and online experiments, fully on-site in Almaty.
Senior Data Scientist analyzing real-world vehicle telemetry and customer survey data for an automotive OEM R&D project, building interpretable behavioral features and validating statistical/ML models with Python. Offered by engineering firm Btech; on-site in Brussels with relocation required.
Data Scientist (ML) at ReCodme, embedded in a fashion/retail client's Advanced Analytics team in Barcelona (hybrid 50-50). Day to day: develop AI/ML models for demand forecasting, computer vision, description generation and translation, research new approaches, and communicate results to business stakeholders. Requires 4+ years of ML experience, Spanish, and B2+ English.
Recodme is hiring a Senior Data Scientist/ML profile for the Advanced Analytics product squad of a multinational client in Barcelona (hybrid). The work centers on demand forecasting with time series, plus computer vision, A/B testing and other applied AI projects, using Python, PySpark and pandas.
Data Scientist specializing in Generative AI for a strategic banking-sector project at Kirey España in Madrid (hybrid). Day to day: designing, building and deploying ML/DL and GenAI solutions — RAG/GraphRAG, embeddings, AI agents, fine-tuning with LoRA/QLoRA — using Python, TensorFlow/PyTorch, cloud platforms and Docker/Kubernetes.
Senior Data Scientist at Amaris Consulting in Barcelona who prototypes and deploys AI/ML solutions in production — forecasting, optimization, recommender systems, computer vision, NLP and generative AI — using Python, TensorFlow/PyTorch, AWS, Databricks, Airflow and related big data tooling. Advanced Spanish is required.
Junior Data Scientist on iwoca's Sales & Marketing (Direct Acquisition) team in London, designing experiments and building statistical models that shape how iwoca reaches new small-business customers, mentored by the team's data scientist. Core focus: probability/statistics, experimentation, modelling, and Python.
Client-facing data scientist at Ravelin, a fraud detection company, analysing large client datasets to uncover fraud patterns and trends, improving ML models and graph networks, and presenting findings to clients. Core tools are SQL, Python, machine learning and network analysis.
8+ years of experience in Data Science Machine Learning, AI, or related fields. 2+ years of hands-on experience with Generative AI and Large Language Models (LLMs). Strong hands-on experience with AWS Bedrock and…
Hands-on Data Science Lead role at ShareForce in Basingstoke (hybrid, 2-3 days onsite). The hire takes end-to-end ownership of four production predictive models, transfers knowledge from an external partner to build an internal team, and shapes data science, AI and model governance in a regulated environment using Python, SQL, Microsoft Azure and Databricks.
Working-student role focused on linguistic quality control of French audio/text datasets for speech-to-text models, using Python to analyze data and identify error patterns.
Machine Learning Engineer / Data Scientist hired directly by an aerospace-technology company in Venice (via Randstad). Day to day: analyzing industrial time-series data, building and training ML/DL models for anomaly detection, classification and forecasting, and integrating them into cloud or embedded software. Core stack: Python or MATLAB, pandas, scikit-learn, PyTorch, Keras, pytest and Git.
We couldn't check your fit for this role — add a CV to your profile to see it next time.