Data Science & AI Specialist (m/f/d) (80-100%)

Accelleron is accelerating sustainability in the marine and energy industries as a global technology leader in turbocharging, fuel injection, and digital solutions for heavy-duty applications. Building on a heritage of over 100 years as a trusted industry partner, the company serves customers in more than 100 locations in over 50 countries. Accelleron’s 3,000 employees are continuously innovating to deliver best-in-class products, services, and solutions that are mission-critical for the energy transition. You will join a team of experts in an exciting international environment, committed to excellence and innovation. Together, we support our customers in driving the transition toward sustainable industries with cutting-edge technology, deep expertise, and smart solutions. At Accelleron, we foster diversity and inclusion, welcoming and celebrating individual differences as a source of strength.

Your Responsibilities:

• AI and machine-learning use case delivery

  • Support and deliver data driven solutions: from problem framing and feasibility assessment to model development, validation, deployment, and post-go-live monitoring.
  • Create actionable insights using data science & AI methods: statistical analysis, machine learning, computer vision, Large Language Models applied to business problems.
  • Solution Hand over to sustainable operation: documentation, retraining and monitoring approach, and clear ownership together with the process domain and application teams.

• Business partnership & value translation

  • Work with business units to understand their needs: engage with Divisions & Functions, clarify the actual process to be improved, and challenge when required.
  • Translate analytical results into business value and actions: explain findings in business language, quantify the expected benefits, and define what should change as a result.
  • Advise business users end to end: from data inputs, feature selection, modelling approaches, evaluation of results, and practical project implementation.
  • Contribute to use case qualification: assess data availability and quality, effort, risk and expected return.

• Data sourcing & platform collaboration

  • Identify and source relevant data: locate the right internal and external data, assess its quality, ownership and suitability, and prepare it for analytical use.
  • Work through the Enterprise Data Layer and Data Product Catalogue.

• Tooling, engineering & standards

  • Integrate tools such as R into the analytics landscape including notebooks, libraries, and their use within Microsoft Fabric and the enterprise data platform.
  • Apply sound data engineering practices.

• Enablement of citizen data scientists & knowledge sharing

  • Enable AI citizen: provide guardrails, templates, training and coaching so business users can apply advanced analytics safely and effectively.
  • Share best practices and collaborate across Digital and IS teams.

How success is measured:

• Data Science & AI use cases delivered into production, with demonstrable business value.
• Positive feedback from business stakeholders on the usefulness of results.

Your Background:

• Practical experience delivering data science and AI solutions in a business context, ideally in an international industrial environment.
• Strong command of SQL, Data Science libraries, and machine learning methods.

Education & languages:

• University degree in data science, statistics, mathematics, computer science, engineering, or a comparable field.
• Fluent English required.