9 data analytics jobs found in Berlin

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...

Working student (m/f/d) in Controlling with a focus on Data Science Do you enjoy daily challenges and prefer working independently? Then we should get to know each other at one of our locations in   Kirchheim near Munich   or   Berlin   ! You'll start in controlling shortly after the introduction of our new ERP system (Microsoft Business Central) and gain valuable practical experience in an exciting digitalization project. What needs to be done? You actively support the specialist departments in defining and creating reports in Power BI. Furthermore, you will help us with the design and implementation of RPA bots (Power Automate) to automate repetitive tasks. Your involvement in the implementation of AI-supported tools brings exciting variety to your daily work routine. You will assist with ad-hoc requests and general administrative tasks. This is what you bring with you You are studying business informatics, statistics or...

At Seven Senders, we connect people and markets, making international shipping simple. We are Europe's leading platform for cross-border parcel delivery, supporting e-commerce companies in scaling internationally and reaching millions of consumers across borders. By combining cutting-edge technology with strong local carrier networks, we ensure parcels move efficiently from warehouse to doorstep — whether speed or cost efficiency is the priority. Founded in Berlin in 2015, Seven Senders has grown into a team of 200+ logistics and tech experts. Today, we proudly work with clients such as Flaconi, Shop Apotheke, and Tamaris, shaping the future of European delivery together. Job Description Seven Senders is growing, and so is the regulatory and contractual complexity that comes with running a cross-border logistics platform. We're looking for a senior generalist to own legal, compliance, data protection, and AI governance topics for the business; and to build a...

BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas   to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases   throughout the entire AI lifecycle. Identifying patterns and trends   while simultaneously translating technical results into   actionable recommendations   and   presenting   the results to the relevant department and management. Close collaboration   with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation   in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand   your   professional   skills through   interdisciplinary   collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually...

BERLIN Tasks As a Data Scientist (m/f/d), you will develop   data-driven solutions for a wide range of business challenges   and support our clients in deriving informed decisions from complex data. You will combine statistical modeling, machine learning, and modern AI approaches to develop innovative solutions from data analysis to production implementation. Development and implementation of data science solutions   for various business issues, e.g., sales prediction, media mix optimization, impact analyses, geo-analyses, or NLP-based applications for sentiment analysis. Analysis and processing of complex data sets   from structured, unstructured and geographic data sources to identify relevant customer and business insights. Development, optimization and implementation of statistical models   , machine learning methods and AI-based solutions for various use cases Creation of reports, dashboards   and data-based decision-making tools, as...

BERLIN, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the reliable operation of AI workloads, training pipelines, and inference-related systems . Dive into the development and optimization of CI/CD and MLOps pipelines to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of AI systems and distributed data platforms , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through prototyping AI applications, experimenting with...

Why voice? Because we're more than just a job! At voice,   we believe the greatest gift to frontline workers is time - time to care, connect, and be present.   Today, that time is lost to   busywork and complex systems   that pull them away from what matters most:   people   . Our vision is to change that by building AI companions   that seamlessly take over digital workflows. We don't replace humans with technology -   we amplify their impact. Our mission is backed with a   $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voice, and over 200,000 users rely on our AI companion   to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact.   And now, we're looking for you to join us on this mission! Your Mission: Turning Machine Learning capabilities into real user value voice is more than a scribe...

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...

Big tasks Development, implementation and optimization of machine learning models at the proof-of-concept level Scaling of machine learning models for use in production systems, taking into account performance, scalability and security. Design, testing and management of data pipelines for training and production systems Data acquisition, quality assurance, and feature engineering Close and independent collaboration with data scientists, software developers and other teams to integrate models into existing workflows Research, evaluation and selection of suitable machine learning algorithms and technologies, based on current research findings Target-group-oriented documentation and presentation of the developed models and their results Ideal conditions Studies in Computer Science, Computer Engineering, Mathematics, Statistics, Engineering or a comparable field of study Relevant experience in the development and implementation of machine learning...