S

Sopra Steria

IT consulting, digital services, and transformation

Data Scientist / Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNieuwegein, Netherlands€4k - €6k /mo

About the Job

Requirements

  • A master's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Artificial Intelligence, or a related discipline.
  • For a medior profile, at least 3 years of experience delivering production-ready data-science solutions in a commercial or public environment; for a senior profile, at least 5 years.
  • Advanced Python skills, including pandas, NumPy, scikit-learn, and at least one deep-learning framework: TensorFlow or PyTorch.
  • Experience with containerization and orchestration using Docker and Kubernetes, plus infrastructure-as-code using Terraform or Bicep on Azure or on-premises.
  • Strong knowledge of MLOps toolchains, including MLflow, Airflow, Azure ML SDK, and automated CI/CD pipelines using Git, Azure DevOps, or GitHub Actions.
  • Fluent professional Dutch and English, spoken and written.
  • Ability to communicate complex concepts to technical and non-technical audiences.
  • Demonstrated experience leading projects, coordinating multidisciplinary teams, and engaging directly with business stakeholders.

Responsibilities

  • Deliver data-science projects from problem definition through production implementation, working closely with Sopra colleagues and client teams in a DevOps environment.
  • Work on innovative projects and products, including simulations, digital twins, and Large Language Models-as-a-service products.
  • Operationalize models using MLOps and DevOps best practices, including MLflow experiment tracking, Docker and Kubernetes containerization, and CI/CD through Azure DevOps or GitHub Actions for automated testing and releases.
  • Advise clients on algorithm selection, scalable feature-engineering pipelines, and cloud-native deployment patterns optimized for performance and cost efficiency.
  • Guide junior colleagues through code reviews and sharing best practices, and foster a culture of continuous learning.
  • Monitor developments in reinforcement learning, causal inference, large language models, generative AI, and AutoML, and translate insights into new services.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

Recently Posted Jobs

Explore more opportunities at Sopra Steria

See more jobs