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Senior Data Science Engineer (Applied Data Science / SAAS)

Tria
Hampshire
3 weeks ago
Applications closed

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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 offeringWhat 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 mindsetNice 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 servicesPlease 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

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