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Lead a data-science team at Monzo to design experiments, set analytics standards, and guide product decisions that improve customer engagement and simplify money management.
Senior product data scientist on Google One's Strategy and Analytics team, driving growth of Google's AI Plus, Pro, and Ultra subscriptions through statistical analysis, KPI reporting, experimentation infrastructure, and cross-functional partnership with Product, Engineering, and Finance. Core tools: Python, R, SQL.
Krannich Solar, an international photovoltaic wholesale company, seeks a Data Science Engineer at its Weil der Stadt HQ to own reporting end-to-end: developing Power BI solutions, designing data models and ETL/ELT pipelines for the data warehouse, and ensuring data quality. Hybrid work with partial home office is possible.
The Associate Value Engineer joins a 12-month Orbit Program to act as a technical advisor, using SQL and PQL to build AI-driven prototypes and data models that solve customer business challenges. The role involves presenting value propositions to clients and collaborating with internal teams to drive process intelligence solutions.
The Data Scientist will develop statistical and machine learning models, including RAG and agent-based systems, to provide actionable insights for internal operational processes. They will work with large datasets using SQL, Python, and various BI tools to support strategic decision-making across the organization.
Senior Data Scientist builds and deploys pragmatic ML solutions to drive measurable business value at a visual automation platform, prioritizing real-world impact over technical complexity.
A Senior Data Scientist at Make translates data into actionable business insights, partnering with stakeholders to design and deploy scalable ML solutions (e.g., heuristics or models) that drive measurable ROI in a SaaS automation platform.
Data Scientist / Machine Learning Engineer at Ayesa Digital in Galicia, Spain, working across the full data lifecycle and designing, training and deploying machine learning models into production environments. Core stack is Python, SQL, PySpark, MLflow and Git, with Google Cloud Platform knowledge valued.
Senior data scientist on Google's Customer Engagement team: owns product success metrics, analyzes observational data, partners with PM/UX/Engineering, and improves instrumentation and experimentation velocity. Core toolkit is statistical analysis, A/B testing, causal inference, and coding in Python, R, or SQL.
We’re looking for an authentic, collaborative, and accountable Applied Data Scientist to join the Arcurve team. YOU ARE Passionate about technology An authentic and creative human Driven to succeed A believer in the…
Leads data science projects, designing and deploying AI/ML models to solve business problems while collaborating with cross-functional teams and ensuring ethical AI practices.
Junior data scientist on Decathlon's Downstream Demand Forecast team, analyzing sales data and building AI/statistical models for multi-echelon demand forecasting to optimize stock across the supply chain. Day to day involves modeling in Python/Spark (TensorFlow, PyTorch, scikit-learn) deployed via Databricks, Airflow, MLflow and Docker, with Tableau visualizations for stakeholders.
Junior Data Scientist on Decathlon Digital's Downstream Demand Forecast team, analyzing sales data and building statistical/ML models for multi-echelon demand forecasting to optimize stock management across the supply chain. Core stack includes Python, Spark, TensorFlow/PyTorch, Databricks, MLflow, and Airflow.
Data Science internship at Avito (a major online classifieds/marketplace). The intern works remotely from Moscow on data science tasks; the posting provides no further detail on day-to-day work or requirements.
Data analyst role (2+ years) at ePayLater, a Mumbai-based BNPL fintech: the hire defines the analytics roadmap, builds data warehouses and predictive/scoring models, and delivers dashboards and experiments for acquisition, churn, delinquency, and profitability. Core stack is SQL and Python.
Data Scientist / MLOps Engineer at Nunegal Consulting developing ML models, data pipelines and training jobs, and deploying them as APIs. Works with Spark and SQL, iterating between experimentation and production while optimizing performance and scalability. The role offers 100% remote work.
Leads development of production-grade AI systems — LLMs, RAG architectures, LangChain/LangGraph, and multi-agent workflows — for an AI-powered learning platform in Madrid (hybrid). Day to day it's Python ML and software engineering with AWS/Airflow-style tooling, collaborating with Product, Data, and Engineering teams.
Junior data engineer at Dragados, the construction division of Grupo ACS, based on-site in Madrid. Day to day: helping design data warehouses, building ETL processes, integrating data from multiple systems, and preparing datasets for analytics and machine learning projects. Aimed at recent graduates with no prior experience required.
Junior Data Engineer on HP SCDS's 3D Data team in León, Spain (hybrid), building and maintaining the data pipelines and data products behind HP's global 3D printing business. Core skills: SQL, PostgreSQL and MongoDB, with Python and Data Lake platforms (Databricks, Snowflake, Azure) as nice-to-haves.
Lead Brainlabs' Marketing Mix Modelling practice, deploying Google Meridian and advanced analytics to connect media spend to profit, while managing a team and translating complex insights for senior clients.
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