8 data scientist jobs found in Berlin

Clue is more than just a place to work. Our work empowers women and people with cycles to make more informed decisions about their health. We break down barriers, myths and taboos. Our workplace is agile, diverse, and full of opportunities for growth. A NOTE FROM YOUR TEAM LEAD Research at Clue is impactful in various ways, including internal projects diving into Clue tracking data to external collaborations with researchers at renowned academic institutes such as Stanford and Oxford University, using the Clue app or Clue data to answer important menstrual and reproductive health questions (read more here). As our Research Data Scientist you will work on the Science Team to gather health data insights, help with study analysis plans and conduct analyzes for Clue's in-house research projects and research collaborations. You will work cross-functionally in collaboration with other teams such as the Data, Product, and Marketing Teams. We are looking for you if you have a...

Location Berlin Remuneration Pay group 14 TV EntgO-DRV (64,939.90-92,560.73 euros) Entry date March 6, 2026 occupation Part-time (permanent), Full-time (permanent) Application deadline 03. April 2026 Tender number 11-026-2026 Tasks Responsible conceptualization, development and implementation of data science applications with a focus on GenAI and LLMs in cross-functional teams Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting) and in the context of Large Language Models (LLMs) and their fine-tuning. Visualizing and analyzing large datasets to detect bias or data drift and to ensure data quality Conception, development and validation of highly complex machine learning and statistical models for demanding applications Evaluation and implementation of new state-of-the-art algorithms and technologies, including deep learning...

Location Berlin Remuneration Pay group 13 higher service TV EntgO-DRV (60,072.01-86,114.70 euros) Entry date As soon as possible occupation Part-time (permanent), Full-time (permanent) Application deadline 03. April 2026 Tender number 11-027-2026 Tasks Developing and evaluating metrics for quality assurance of generated responses in RAG systems Optimizing indexing and search strategies to improve the accuracy and efficiency of RAG applications Developing and implementing data science applications with a cross-functional team and/or external service providers. Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting, etc.) and in the context of GenAI (for example, Large Language Models, Fine-Tuning, etc.) Visualizing and analyzing large datasets, for example to detect bias or data drift; optimizing and maintaining semi-automated MLOps...

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability. About the Role: As a Senior Data Scientist within the Credit Decision Science team, you will serve as a domain expert responsible for the end-to-end design, development, and productionization of robust, scalable machine learning solutions for our credit and portfolio management domain. This role requires...

(Senior) Data Scientist (m/f/d) In our Advanced Analytics department, we utilize cutting-edge technologies and methods to gain valuable insights through prescriptive data modeling and derive concrete recommendations for action. As a (Senior) Data Scientist (m/f/d), you will actively shape a future-oriented field of expertise and contribute to the further development of our data-driven analysis and decision-making processes. You will analyze extensive datasets, identify patterns and trends, and support the development of pricing and market strategies. Your expertise is a key factor in our company's success and offers you the opportunity to effectively apply your skills in an agile and innovation-driven environment. The position is available full-time or part-time in Teltow. Your advantages with us: Flexible & hybrid working: Permanent employment contract with an annual leave entitlement of 30 days, plus additional days off on December 24th and 31st....

Location : We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens. At   Freenow , we are at an exciting point in our history — we are building a world-class product used daily by millions of people, while scaling the next generation of AI-powered capabilities across the company. As part of the Lyft group, we operate at the intersection of mobility, data, and AI, solving complex, large-scale problems that have real-world impact. We are looking for a   Product Manager – AI (m/f/d)   to drive the strategy, prioritisation, and delivery of internal and platform AI products. You will act as the   single front door for AI initiatives , ensuring they are valuable, safe, scalable, and aligned with legal, security, and business requirements. With us, you will stretch, learn, and grow in a creative, diverse, and highly collaborative environment spanning more than 70 nationalities and 11 markets across Europe. Don't join Freenow because of the perks —...

Your mission Define how AI can understand, reason about, and discover materials Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. As Head of AI Research, you will define and lead Dunia's AI-for-Materials agenda at the intersection of machine learning, physics, chemistry, and automated experimentation. This role is about more than applying existing ML techniques to scientific data. It is about inventing the representations, learning paradigms, and evaluation frameworks that allow AI to reason about matter across scales. You will spearhead the development of Dunia's Materials World Model, shaping how AI interacts with experiments and simulations, and how scientific insight is translated into systems that reliably produce new materials with real-world impact. Your tasks will include: Set the intellectual direction for AI for Materials...

Your mission Build the software backbone letting AI reason about and experiment on the physical world Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. At Dunia software doesn't just serve users, it coordinates robots, experiments, simulations, and learning systems that interact with matter itself. As a Software Engineer, Infrastructure, you will own the systems that make this possible. Your work sits directly between scientific intent and physical execution: if infrastructure is unclear, brittle, or slow, discovery stalls. If it's well-designed, the entire system accelerates. This role is for an engineer who wants their software decisions to have real, measurable consequences in the world. Your tasks will include: Production systems that matter Backend services in Python (FastAPI,Pydantic) that orchestrate real scientific...