Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Sirius Digital Services
Portsmouth
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Salary: from £40,000plus benefits, pension (7% contribution), 25 days holiday & life insurance


We are looking for a Data Scientist consultant. We provide, through Sirius Digital, bespoke, robust and high-performance software to meet and exceed user requirements. We specialise in Software Engineering, Modelling & Simulation, Robotics & Autonomous Systems, Synthetic Environments, and AI & Machine Learning (ML).


Our team provides adaptable and highly skilled capability, with a range of specialities, to ensure that the right techniques are used to solve your problem.


The Role:

As a Data Scientist, you will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) models, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions for complex challenges and will integrate code with software engineers.


Responsibilities will include:

  • Delivering technical consulting projects.
  • Developing and delivering AI / ML solutions using a large range of techniques (e.g. ML, NLP, LLMs, Motion Capture, Image Recognition, OCR, …)
  • Building new relationships and maintaining current customer relationships.
  • Applying mathematical and computational methods to tackle real world problems, applying tools and techniques, and developing novel approaches where required.


Expertise Required:

We are happy to consider applicants with a range of experience:

  • Data Scientist: 2+ years’ experience, including developing ML / AI projects.
  • Senior Data Scientist: 5+ years’ experience, including productionising ML / AI projects.


About You:

The successful candidate must be able to demonstrate the following attributes:


Essential

  • Ability to understand and describe a range of data science techniques.
  • Experience in managing data and implementing data science processes.
  • Ability to apply knowledge in statistics and machine learning to real world problems.
  • Experience in translating customer requirements into quantitative models.
  • Experience in one or more of the following technical disciplines:
  • Natural language Processing (NLP)
  • ML (e.g. Random Forests, CatBoost, LXGM, …)
  • Image Recognition
  • Optical Character Recognition (OCR)
  • Motion Capture
  • Proficient in Python, R or C++, including relevant libraries (numpy, pandas, matplotlib, Scikit-learm, tensorflow, etc…).
  • Proficient in a range of database protocols (e.g. SQL, noSQL).
  • Develop testing routines or procedures.
  • Building customer and stakeholder relationships.
  • Supporting and leading authoring of technical reports and presenting to customers.
  • Be willing to travel across UK and comfortable to work away from home for periods of time.


Desirable:

  • The ideal candidate will be educated to degree level or have equivalent relevant experience.
  • We’d love you to bring a strong STEM / computing background.
  • Experience, awareness or interest in the Nuclear Energy AI solutions would be of interest.


What we offer

We offer a combination of mentoring and internal and external training opportunities, with specialist sector organisations and in-house courses. You will have exposure to subject matter experts and additional online learning packages.


The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options, private health care, life assurance and electric vehicle scheme


Other Requirements:

  • Candidates must have an existing right to live and work in the UK.
  • Candidates will need to undergo an internal BPSS check prior to gaining site access.
  • Candidates will also need to either hold a current SC clearance or be willing and eligible to undergo a Security Clearance check (SC level) upon starting their employment with the company. To gain SC clearance you will normally need at least 5 years’ UK residency.
  • This role includes in-place work within the Portsmouth area, so candidates would need to be residents within the local area, or willing to relocate.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.