Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Science Engineer (Applied Data Science / SAAS)

Tria
Hampshire
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (LLM)

Senior Manager - Data Science and Engineering Team

Senior Data Science Director

Senior Data Science Director

Senior Data Management Professional - Data Science - Data Management Lab

Senior Data Scientist

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Jobs

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Careers

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.