Senior Data Science Engineer (Applied Data Science / SAAS)

  • TRIA
  • Aug 07, 2025
Full time I.T. & Communications

Job Description

Senior Data Science Engineer (Applied Data Science / SAAS)

Location: Hybrid - 2 days per week in either Hampshire or Worcestershire
Salary: 50,000 - 55,000 (DOE)

Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life?

We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation.

You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery.

Key responsibilities include:

  • Building and refining models to support decision-making and customer insight
  • Designing and developing analytics tools and pipelines for internal and external use
  • Supporting productionisation of models and analytical workflows
  • Promoting best practices in reproducible, ethical and explainable data science
  • Exploring new technologies and techniques to evolve the data offering

What We're Looking For

  • Strong experience in a Data Science or Machine Learning role
  • Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation
  • Comfortable working with varied datasets and translating findings for non-technical audiences
  • Understanding of modern data workflows (version control, notebooks, testing, etc.)
  • Strong communicator with a practical, delivery-focused mindset

Nice to have:

  • Experience deploying or supporting ML models (e.g. regression, classification, recommendation)
  • Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar
  • Exposure to cloud platforms (Azure preferred), APIs or data services

Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK.

If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you.

Apply now to take your next step in applied data science.