Senior Data Engineer

Capgemini; Göteborgs kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Capgemini Engineering is seeking a Senior Data Scientist to scale our Data & AI capabilities for Nordic clients. You will lead data science projects and develop predictive models for automotive, manufacturing, life sciences, defence, retail and telecom sectors.

You will mentor junior colleagues, support presales, and communicate insights to both technical and business stakeholders. A Master’s or PhD in a quantitative field and 5+ years in data science are required.

Qualifications

• Master’s or PhD in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.
• 5+ years of experience in Data Science, Advanced Analytics, or Machine Learning.
• Strong programming skills in Python and/or R, with expertise in statistical analysis, predictive modelling, and machine learning.
• Experience working with SQL, large-scale datasets, data preparation, feature engineering, and exploratory data analysis.
• Proven track record in end-to-end ML model lifecycle management, including development, validation, deployment, monitoring, and experimentation (e.g., A/B testing).
• Hands-on experience with ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch), data visualization tools (Power BI, Tableau), and cloud/data platforms (AWS, Azure, GCP, Snowflake, Databricks, BigQuery).

Responsibilities

• Leading data science projects and provide analytical expertise to clients.
• Develop predictive, prescriptive and statistical models to solve complex business challenges.
• Support presales activities and help shape data-driven solutions for clients.
• Drive competence development and mentor junior team members.
• Communicate insights and recommendations to both technical and business stakeholders.

Skills

Python

R

SQL

ML frameworks

Data visualization

Cloud platforms

Education

Master's degree

PhD

Tools

Scikit-learn

XGBoost

TensorFlow

PyTorch

Power BI

Tableau

AWS

Azure

GCP

Snowflake

Databricks

BigQuery

Job description

PermanentExperienced ProfessionalsData & AIID 547972-en_USAt Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.Your roleWe are now looking for Senior Data Scientists to scale our Data & AI Capabilities within the Engineering Practices of Capgemini. You will be part of a diverse and inclusive team of Data Scientists, Data Engineers and AI Engineers, working on a variety of client challenges within the Automotive, Manufacturing, Life Science, Defence, Retail and Telecom industries.You will deliver value to Nordic clients through senior-level assignments, transforming data into actionable insights and predictive solutions. You will contribute to solution design and presales activities, mentor junior colleagues, and act as a Subject Matter Expert in Data Science, Advanced Analytics and Machine Learning. Collaboration with other engineering practices to drive data-driven decision-making is key.In this role you will play a key role in:Leading data science projects and provide analytical expertise to clients.Develop predictive, prescriptive and statistical models to solve complex business challenges.Support presales activities and help shape data-driven solutions for clients.Drive competence development and mentor junior team members.Communicate insights and recommendations to both technical and business stakeholders.Your profileDegree (Master’s or PhD) in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.5+ years of experience in Data Science, Advanced Analytics, or Machine LearningStrong programming skills in Python and/or R, with expertise in statistical analysis, predictive modelling, and machine learning.Experience working with SQL, large-scale datasets, data preparation, feature engineering, and exploratory data analysis.Proven track record in end-to-end ML model lifecycle management, including development, validation, deployment, monitoring, and experimentation (e.g., A/B testing).Hands-on experience with ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch), data visualization tools (Power BI, Tableau), and cloud/data platforms (AWS, Azure, GCP, Snowflake, Databricks, BigQuery).We value flexibility to adapt in high-paced working environments, as well as the ability to lead your own tasks and coordinate others. Excellent English communication skills, both written and spoken, are essential.We are reviewing candidates continuously and are flexible in discussing start dates. Most of our clients are based in Gothenburg; however, we also have opportunities in other locations. Therefore, we welcome applications from candidates based outside Gothenburg, provided they can travel as required for client assignments. Candidates based in Gothenburg will be prioritized.In this recruitment process, we may ask about your current citizenship. This is due to some of our projects being aimed at the military and defence industry. For those openings, Swedish citizenship is required. We will also perform an ID check during the interview phase for all candidates.#LI-AL3About CapgeminiCapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate, and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.