Praca Data-scientist Europa

 ...Role Description A senior data scientist who also engineers on a delivery team building an outcome-optimisation and scoring platform for an independent SSP. The role builds, evaluates, and operates models across three families: a real-time curation model, look-alike... 

 ...services company, helping medium to large enterprises run AI transformation end-to-end, from situation analysis and goals framing to data discovery and preparation, pipeline building, model development, retraining pipeline design, solution deployment, and support. We... 

 ...Our Customer: Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign... 

 ...services company, helping medium to large enterprises run AI transformation end-to-end, from situation analysis and goals framing to data discovery and preparation, pipeline building, model development, retraining pipeline design, solution deployment, and support. We... 

 ...oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę... 

Our Customer: Our customer develops AI-powered voice and SaaS solutions that connect intelligent bots and agents with communication platforms. The engineering environment combines modern test automation technologies with AI-assisted development practices across cloud...

 ...oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę... 

 ...responsibilities Design and deploy advanced agentic systems and workflows, establishing governance models for permissions, context-sharing and data access. Architect enterprise-scale agent deployments on leading AI platforms, creating trust layers and cross-agent governance... 

 ...investing, brokerage or crypto domain knowledge combined with AI engineering.   - Fintech or regulated-industry background (compliance, data protection, auditability of AI outputs).  - Broader AWS or Azure cloud experience around the Bedrock/Foundry stack.  - Experience... 

 ...Role Overview We're looking for a Data Scientist to join the iwocaPay Risk Squad. You'll own credit models that decide who iwocaPay can safely fund and on what terms. The team is small, the product is growing, and you'll shape how risk modelling is built – not just... 

 ...We are looking for a Data Scientist to join a Digital Health team building an AI-powered platform that helps people better understand and navigate their health. You will work at the intersection of Machine Learning, statistics, clinical data, and Generative AI... 

 ...re seeking a high-performing individual contributor with a passion for solving complex problems and uncovering opportunities through data. You’ll operate with a high degree of independence, regularly engaging with stakeholders up to Director level, and leading your own... 

 ...accountable to a single scorecard. Role Description We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights... 

 ...solutions are born. Join in and take your part in digitalizing the world. What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers... 

 ...marketplace. You’ll join the Pricing & Quality team (a mix of data scientists and backend engineers) focused on curating offers to give...  ...About you At least 5 years of industry experience as a data scientist and Master’s (or PhD) in a quantitative discipline such as... 

 ...within our diverse, collaborative, and forward‑thinking team. At ICON, you’ll play an integral role in transforming clinical trial data into meaningful insights that drive critical decision‑making in global healthcare. In this role, you’ll take ownership of developing... 

 ...our customer values, and so is a desire to grow and provide creative and innovative solutions to our clients. Job Purpose The Data Analytics team is part of the Data Office within TMHCC. We have the responsibility of creating reporting capabilities throughout the... 

Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have...

 ...machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of...  ...other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade... 

 ...Role Overview We’re looking for a Data Scientist to join our Credit Risk Modelling team. You'll work on the credit models that sit at the core of iwoca's lending business – the models that decide who we lend to, on what terms, and how far the product can grow. The... 

EWOR is launching cutting-edge new initiatives, and we are looking for exceptional operators and builders to join our new department. We are backed and led by serial entrepreneurs, including Paul Müller (founder of Adjust, €1.2B exit) and Petter Made (founder of SumUp...

 ...Make a real difference at one of London’s foremost SaaS scale-ups Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we don't just see AI as a fashionable bandwagon to hop on but have lived and breathed AI & ML in every... 

 ...varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms... 

 ...for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities. We are seeking an individual at the intersection of AI Research and Machine Learning... 

 ...pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control,... 

 ...~5+ years experience in applied Deep Learning ~5+ years coding and design skills ~ Experience solving complex production problems using state-of-the-art ML techniques ~ Experience taking research to production ~ Expertise in Data Analysis or Data Science... 

 ...over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s...  ...that make ClickHouse the platform of choice for agents and data scientists.   What you will do Feature Development: Design and implement... 

 ...We work with all modern tech stacks and typically run agile scrum on all our projects. About the Role Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We expect you to have... 

 ...Intellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed... 

 ...order. Adding the next feature to something you built is fast and painless. Pipelines in production. You have owned feature or data pipelines end-to-end, including troubleshooting cases where offline and production metrics diverged and resolving the underlying discrepancies...