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Twoday is one of the leading digital transformation partners in Northern Europe with a global presence. With approximately 3,000 technologists, we collaborate with the most admired private and public organizations to…
Research Data Scientist at Sberbank's online lending team, developing new ML methods (deep learning, reinforcement learning, Bayesian methods, VAE, NLP/transformers/LLMs) and running experiments for credit services, including dynamic pricing. Work spans hypothesis testing, prototyping, model architecture proposals, and presenting results using Python, PyTorch, and SQL.
An early-career data scientist at UL in Princeton, NJ who partners with business stakeholders and technical teams to turn data into insights supporting operational and strategic decisions. Day to day involves analytics, reporting, and visualization work using modern analytics tools and data platforms.
Lead data science projects for a sportswear company, building models to optimize product performance, customer experience, and supply chain decisions using Python, ML, and cloud platforms.
Associate Data Scientist in Tamara's Builders Program to design metrics, run experiments, and build lightweight AI tools that inform fintech product decisions in Dubai.
Bee Genius is hiring a Data Scientist in Los Angeles to clean and preprocess large datasets, build machine learning models, and present data-driven insights to stakeholders. Core skills include Python or R, statistical modeling, and data visualization.
Builds and deploys ML models for auto-industry analytics and automation that power millions of users, using Python, SQL, and advanced ML techniques.
Dual study program (Duales Studium) in Data Science/AI at medi GmbH & Co. KG in Bayreuth, Germany, starting September 2027. Over three years, the student alternates academic study with hands-on practice in data, AI, and modern technologies at a medical products company.
Analytics data scientist on Appier's Ad Cloud, mining campaign, bidding, and user-behavior data to find performance levers, designing and reading A/B tests on live campaigns, and building metrics, pipelines, and dashboards. Core stack: Python, expert-level SQL, and PySpark, working closely with ML scientists, engineers, and product teams.
A hands-on data scientist role in CommBank's Institutional Banking & Markets team in Melbourne, leading applied AI/ML solutions for forecasting, trading and emerging agentic AI initiatives from inception through production, governance and monitoring. Core tech: machine learning, generative/agentic AI, Python and SQL on modern cloud platforms.
Dual study program (Duales Studium) in Data Science and AI with a focus on Smart Operations Management at grocery retailer Lidl, starting in 2027. Students combine academic study with hands-on work applying data science and AI within Lidl's purchasing, logistics, warehousing, and IT operations.
A dual-study position (Studium mit vertiefter Praxis) at BMW Group in Germany in Data Science & Scientific Computing: students analyze large data volumes and work on future IT and digitalization topics while combining academic study with practical phases. Core focus areas are data science and scientific computing.
Data Scientist, Analytics on Appier's Ad Cloud: mines campaign, auction, and user-behavior data to find performance levers in ad bidding, designs and reads high-volume A/B tests on live campaigns, and builds metric frameworks, data pipelines, and dashboards. Core stack is Python, expert-level SQL, and PySpark, working closely with ML scientists, engineers, PMs, and operations.
Data Scientist at Endeavour Group building and optimising Retail Media predictive models and running statistical experiments in agile squads. Day to day involves end-to-end ML development with Python, SQL, cloud platforms (GCP/AWS/Azure) and modern AI tools, working hybrid from Melbourne or Sydney.
Data scientist on a Federal Government project in Melbourne, using Python, NLP, machine learning, and generative AI (transformers/LLMs) to extract and classify skills data. Day to day: developing and operationalising AI models, building scalable data pipelines, and collaborating with taxonomy and policy experts. Contract until July 2027; Australian citizens only.
Data Scientist in Endeavour Group's Data Science Chapter, building and optimising Retail Media predictive models and running statistical experiments end to end. Day to day involves designing, deploying and maintaining ML models with Python, SQL and cloud platforms (GCP/AWS/Azure) within agile squads.
Data Scientist Specialist at Mexican fintech Red Amigo DAL (SME lending, credit cards, payments) building and deploying Generative AI and traditional ML solutions — using RAG, vector databases, LangChain, Hugging Face, and TensorFlow/PyTorch — to extract insights from complex structured and unstructured data, apply OCR, optimize existing models, and mentor juniors.
A people-leadership role leading a unit of Business Intelligence Analysts within a ~25-person in-house Data Science and Analytics team at St John WA, a not-for-profit healthcare and emergency services provider. The focus is on managing people, projects, and stakeholder relationships rather than hands-on technical work.
Data science internship on Sberbank's model risk team: the intern validates and monitors ML models and AI agents used in the bank's production processes, challenges model approaches, builds alternative models, and automates validation and risk-monitoring tools. Core stack: Python, SQL, ML/statistics, and LLM APIs.
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