National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist - £40k - ID40553

Humand Talent
Bristol
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist / ML Engineer

Our client is seeking a curious and capable data specialist to join a dynamic technical team delivering impactful insight across infrastructure and engineering challenges. This is a fantastic opportunity for someone with strong Python skills and a flair for remote sensing, visualisation and analysis to play a key role in developing creative, data-driven solutions.


You'll be part of a collaborative environment that values technical excellence, originality and practical problem solving. This role offers the chance to grow within a team where your work directly informs decision-making on real-world projects.


Why This Role is Great

  • Engage with meaningful data-Work hands-on with diverse data types, including imagery, LiDAR and GPR, to generate actionable insights.
  • Create bespoke software tools -Develop and enhance internal Python-based systems used in technical analysis and reporting.
  • Shape smarter infrastructure -Contribute to innovative approaches that help maintain and improve large-scale networks and systems.
  • Work across disciplines -Collaborate with talented scientists, engineers and project managers on multi-faceted technical challenges.
  • Grow your technical and analytical skills -Develop in an environment that supports continuous learning and professional development.



About You

You’ll be working with an established team that brings together deep technical expertise and a shared drive for innovation. Your core responsibilities will involve designing algorithms, processing complex datasets and contributing to the interpretation and communication of findings.

Whether you're an early-career specialist or an experienced analyst seeking a fresh challenge, this role offers the platform to build on your strengths while exploring new ideas and technologies.



What You’ll Bring

This is a role for someone who is hands-on with data and thrives in a research-driven setting. The ideal candidate will have:

  • Proficiency in Python, particularly for data analysis or scientific computing
  • Experience with image processing or signal data
  • A clear, concise communication style
  • Familiarity with collaborative coding practices and tools such as Git
  • A relevant postgraduate degree in a technical or scientific field


Additional experience that would be beneficial:

  • Exposure to LiDAR or GPR data
  • Understanding of machine learning or deep learning models
  • An interest in geophysics, environmental data or similar domains
  • The ability to balance multiple projects and contribute across team boundaries


What’s On Offer

  • A competitive salary aligned with your experience
  • Regular reviews and development opportunities
  • A comprehensive benefits package designed to support wellbeing and long-term growth
  • A collaborative, office-based working environment just outside Oxford
  • Relocation support available for the right candidate


A Commitment to Inclusion

We and our client believe in the value of diverse perspectives and inclusive environments. Applications are encouraged from individuals of all backgrounds, and we welcome those looking to build a career in a supportive and forward-thinking setting.


Ready to Apply?

If you're passionate about using data to tackle complex, real-world challenges and want to be part of a team that values technical creativity and impact, we’d love to hear from you.


Apply now to explore how your skills could shape smarter, data-led solutions.

National AI Awards 2025

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.