Senior Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

Senior Data Scientist position at Volvo Group in Gothenburg, Sweden. This role focuses on transforming complex business challenges into data products and AI solutions for sustainable transport. You will be responsible for the end-to-end lifecycle of AI/ML products, including design, build, deployment, and operation, utilizing MLOps practices and tools like Azure and Databricks. The role involves collaboration with global stakeholders and applying NLP/LLM approaches.

Responsibilities

Contribute to the transformation of the company, transport industry, and society through data and AI.
Turn complex business challenges into data products and AI solutions that create measurable impact, including sustainability outcomes.
Frame problems, define success metrics, and deliver solutions end-to-end with global stakeholders.
Design, build, deploy, and operate ML and AI products with strong engineering practices, including CI/CD, monitoring, and robust model and feature management.
Ensure long-term performance by monitoring drift and partnering with the business to improve pipelines.
Apply NLP and LLM approaches for use cases like classification.
Design solutions that meet security, governance, and regulatory requirements.
Take leadership and responsibility of an AI product run by a team of Data Scientists and Machine Learning Engineers.

Requirements

Solid understanding of statistics, probability theory and machine learning.
Relevant academic degree (min. Master's) in a quantitative field (e.g., mathematics, statistics, computer science, or physics).
Strong applied experience in data science and ML, experimental design, evaluation, and production patterns.
Proven ability to deliver customer value by framing problems with stakeholders and defining measurable success metrics.
Hands-on experience with the full lifecycle of AI and ML software, including CI/CD, architecture, orchestration, quality assurance, and monitoring.
Solid programming and data skills with Python and SQL.
Version control with Git.
Experience working with platforms and tooling such as Azure and Databricks.
Experience applying MLOps practices (e.g. Azure Pipelines, Github Actions, Databricks Jobs).
Clear communication skills in English (and preferably also in the local language).
Ability to collaborate across cultures and time zones.

Desired Qualifications

Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning.
Experience delivering ML and AI in regulated environments with governance and audit requirements.
Domain experience with vehicle data, diagnostics, telematics, or quality and warranty analytics.
Leadership experience such as owning ML products end-to-end, mentoring, or leading practitioner communities.

Benefits

A role where you can create measurable impact through Data and AI, including contributions to sustainability goals.
A collaborative, international community with 900+ data colleagues across seven countries.
Strong opportunities to grow through global, cross-functional work and end-to-end product ownership.
A culture that values openness, diversity in expertise and perspective, and co-creation.
Solid package of compensation and benefits.

Skills

PythonSQLGitAzureDatabricksCI/CDMLOpsNLPLLM

#Data Science#Machine Learning#AI#Transport#Sustainability#Gothenburg#Python#SQL#Azure#Databricks#MLOps#NLP#LLM

About Volvo Group

The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.\n\n

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