7 junior data scientist machine learning jobs found

We are seeking a technically skilled and passionate Senior-level Data Scientist with expertise in machine learning methods to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionise the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. We are dedicated to leverage cutting-edge technology to develop Machine learning solutions that optimize our sales and processes. As a Data Scientist at AUTO1 Group in the outflow sales team, you’ll work on solving complex business challenges such as providing personalized recommendation, dynamic pricing for inventory cars, managing demand forecasting for used car markets and finance risk prediction. You’ll drive end-to-end development from prototyping innovative solutions to deploying scalable models. Working closely with devops, engineers, and product teams, you’ll leverage machine learning to...

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 April 3, 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 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...

Your tasks ML Product Development:   Independent conception, analysis and scaling of data-driven software products (from prototype to productive feature). MLOps & Lifecycle:   Building automated ML pipelines (CI/CD) as well as monitoring and maintenance of models in the cloud (e.g. Google Cloud / Vertex AI). Software Design:   Active participation in the design of modern software architectures for the control of decentralized energy systems, focusing on performance and scalability. Internal Enablement:   Development of tools and interfaces for self-service data access within various departments. Quality assurance:   Consistent application of clean code, conducting code reviews, and further development of internal engineering standards. Agile collaboration:   Technical leadership and mentoring within the team, as well as close coordination with product owners regarding technical feasibility and effort estimation. Your profile...

ABOUT ZELARA Current CRM marketing is broken. It blasts generic messages at scale and calls it "personalization." Our founders lived this problem while leading global, tech-enabled B2C businesses - and decided to fix it. Zelara is   the AI operating system for personalized, digital customer experiences . Our platform uses generative AI and machine learning to build a self-optimizing system that personalizes every B2C interaction in real time — turning impersonal marketing into conversations customers actually welcome. Early results with enterprise customers show a lift in conversion rates and revenue growth. We are well-funded, already generating revenue with paying enterprise customers, and seeing strong market pull. Now we are building the team to scale. THE ROLE This is not a role where you inherit a mature ML stack and optimize metrics at the margin. This is the chance to be the person who builds the core intelligence of an AI-first company from the ground up...

Intro At carbmee, data is not a byproduct - it is the product. Our Environmental Intelligence System EIS™ sits at the center of how the world's most complex industrial enterprises measure and reduce carbon emissions, and AI is how we help them do it faster and more accurately than ever before. As a Data & AI Consultant, you will be deployed directly inside customer environments to tackle their most difficult data challenges: fragmented supply chain records, poor supplier data coverage, mismatched ERP structures, and unreliable emissions factors. You will design and implement AI-powered pipelines on carbmee EIS™ that transform raw operational data into actionable environmental intelligence - and you will own the quality of what you deliver. Your tasks Own end-to-end data and AI workstreams within enterprise customer deployments - from data discovery and architecture design through to live, production-grade pipelines on carbmee EIS™. Engage directly with...