Data Science & AI Specialist / Data Science & AI Specialistess

About Accelleron

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 across over 50 countries. With a passionate team of 3,000 employees, Accelleron is dedicated to delivering 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 through cutting-edge technology, deep expertise, and smart solutions. At Accelleron, we embrace diversity and inclusion, celebrating individual differences as a source of strength.

About the Role

This position is foundational to Accelleron's new Advanced Analytics AI Center of Excellence (CoE). It requires coding experience and the handling of structured and unstructured data sets. The role transforms business challenges into data-driven solutions by identifying the right data, building and validating models, and translating results into actionable insights and measurable business value.

The Advanced Analytics AI CoE develops process-agnostic capabilities and acts as the expert partner to process domain teams and business units. In conjunction with hands-on delivery, this role supports the AI citizen program across the company to work safely and effectively with AI, elevating data maturity levels in the organization.

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 and AI methods: statistical analysis, machine learning, computer vision, and large language models applied to business problems.
  • Ensure solution handover to sustainable operations, including documentation, retraining approaches, and clear ownership with process domain and application teams.
• Business Partnership & Value Translation:
  • Collaborate with business units to understand their needs, clarifying processes to be improved and providing challenge when required.
  • Translate analytical results into business value and actions, explaining findings in business language and quantifying expected benefits.
• Data Sourcing & Platform Collaboration:
  • Identify and source relevant internal and external data, assessing its quality, ownership, and suitability for analytical use.
  • Utilize the Enterprise Data Layer and Data Product Catalogue, feeding gaps back to the Enterprise Data Architect rather than creating one-off extracts.
• Tooling, Engineering & Standards:
  • Integrate tools such as Python and R into the analytics landscape, applying sound data engineering practices including version control and repeatable pipelines.
  • Help define the CoE’s methods and standards, including templates, model documentation, and evaluation criteria.

Your Background

• Experience:
  • Practical experience delivering data science and AI solutions in a business context, ideally within an international industrial environment.
  • Demonstrated success in progressing analytical work from exploration to productive application.
• Technical Expertise:
  • Strong command of Python and/or R, alongside common data science libraries and solid SQL skills.
  • Grounding in statistics and machine learning methods, including supervised and unsupervised approaches.
• Education & Languages:
  • A university degree in data science, statistics, mathematics, computer science, engineering, or a comparable field.
  • Fluent English is required; proficiency in German is an advantage.

Your Benefits

• Competitive compensation package.
• Performance-related bonus opportunities for eligible employees.
• A supportive culture focused on trust, accountability, and flexibility.
• Global Parental Leave Program.
• Employee Assistance Program.
• Health and well-being initiatives.
• A modern workplace with opportunities to work alongside global teams and industry-leading technologies.

Apply Now

Interested candidates are encouraged to apply online using the form below. Please note that only applications matching the job profile will be considered.