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2 data management jobs found in Berlin

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Oliver Wyman
30/09/2026
Full time
2027 Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin
Oliver Wyman Berlin, Germany
Company: Oliver Wyman Description: Who we are Oliver Wyman is a global management consulting firm. We work with clients through their most defining moments, combining deep industry knowledge, specialized expertise, and the power of perspective to help them adapt, grow, and thrive. We believe diverse perspectives make the work stronger. Our consultants bring different backgrounds, experiences, and ways of thinking to help solve complex problems and create lasting impact for clients, colleagues, and communities. At Oliver Wyman, we are proud of the values ​​that we aspire to live by. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential. Within Oliver Wyman, the Data & Analytics (DNA) division was established in 2017 and operates globally, with a particular focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the...
Awin
06/10/2026
Full time
Senior Data Scientist (f/m/d)
Awin Berlin, Germany
Purpose of the Role Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such as forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges...
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