Senior Data Engineer

Capgemini Engineering; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Capgemini Engineering in Sweden seeks a Senior Data Scientist to scale Data & AI capabilities for Nordic clients across Automotive, Manufacturing, Life Science, Defence, Retail and Telecom sectors. You will deliver value through senior-level assignments, transforming data into actionable insights and predictive solutions.

You will mentor juniors, contribute to solution design and presales, and collaborate with engineering practices to drive data-driven decisions. Strong English needed.

Qualifications

• Degree (Master’s or PhD) in Statistics, Mathematics, Computer Science, Data Science, Economics, or 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 with SQL, large-scale datasets, data preparation, feature engineering, and EDA.
• Proven track record in end-to-end ML model lifecycle management (development, validation, deployment, monitoring, experimentation).
• Hands-on experience with ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch), data viz tools (Power BI, Tableau), and cloud/data platforms (AWS, Azure, GCP, Snowflake, Databricks, BigQuery).

Responsibilities

• Lead data science projects and provide analytical expertise to clients.
• Develop predictive, prescriptive, and statistical models to solve business challenges.
• Support presales activities and shape data-driven solutions.
• Mentor junior team members and drive competence development.
• Communicate insights and recommendations to technical and business stakeholders.

Skills

5+ years experience

Python

R

SQL

End-to-end ML lifecycle

ML frameworks

Data visualization tools

Cloud platforms

Education

Master’s or PhD in Statistics/ Mathematics/ CS/ Data Science

Tools

Python

R

Scikit-learn

XGBoost

TensorFlow

PyTorch

Power BI

Tableau

AWS

Azure

GCP

Snowflake

Databricks

BigQuery

Job description

Your role

We 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.

Your role

We 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 profile

• Degree (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).

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.