Associate Data Scientist

QinetiQ Limited
Farnborough
3 weeks ago
Create job alert

Are you ready to be part of the future? At QinetiQ, we’re not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as an Associate Data Scientist at our Farnborough site, where you will have the opportunity to work with cutting‑edge technology in partnership with some of the most brilliant minds.


The Role

As an Associate Data Scientist, you will be working in a team supplying operation meteorological and oceanographic support and expertise primarily exploiting the outputs of numerical weather prediction models.


Day‑to‑day, you will work closely alongside the existing team with considerable opportunities to build domain knowledge and gain valuable real‑world application experience whilst serving within a team that provides SME Meteorological and Oceanographic data and application support.


Your responsibilities will include

  • Undertaking troubleshooting and root cause analysis for complex technical issues, recommending and implementing solutions
  • Maintaining compliance with security and quality standards, ensuring timely and accurate delivery of outputs
  • Proactively identify improvement opportunities and contribute to capability development initiatives
  • Delivering advanced training and mentoring to end user and other colleagues outside of your team, both on‑site and remotely
  • Collaborating with internal and external stakeholders to align technical solutions with operational requirements
  • Serving within a team providing data and applications support, ensuring operational capabilities and functionality is maintained

Essential experience of the Associate Data Scientist

  • Strong analytical and problem‑solving skills with the ability to evaluate and implement multiple solutions
  • Excellent communications skills with the ability to convey complex technical information clearly to potentially non‑technical customers
  • Previous experience in a Data Field, practical experience in Meteorology/Oceanography or completion of naval HM Officers/ratings training
  • The ability to work autonomously and manage priorities in a dynamic operational environment
  • Either experience or an interest in GIS applications, modelling and understanding of data formats, contents and manipulation

Essential qualifications for the Associate Data Scientist

  • A relevant Degree in Meteorology, Oceanography, Data Science or relevant experience

We value difference and we don’t have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you.


This role is 37 hours per week based at our Farnborough site. This role is fully on‑site.


Farnborough

At our Farnborough site exciting work takes place at our state‑of‑the‑art facility, with high‑energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK.


Why Join QinetiQ?

As we continue to grow into new markets around the world, there’s never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges.


As a QinetiQ employee, you’ll experience a unique working environment where teams from different backgrounds, disciplines and experience enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you’ll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture. www.qinetiq.com/en/careers/life-at-qinetiq



  • Matched contribution pension scheme, with life assurance
  • Generous holiday allowance, with the option to purchase additional days
  • Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance
  • Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more
  • We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme
  • Volunteering Opportunities - helping charities and local community

Our Recruitment Process

We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels value, heard, and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments.


Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which mean factors such as nationality or previous nationalities may affect the roles that you can be employed in.


Please note that all applicants for this role must be eligible for DV clearance, as a minimum.


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Data Scientist

Associate Data Scientist

Associate Data Scientist - Meteorology/Oceanography (On-Site)

Associate Data Scientist: Meteorology & Defence Tech

Associate Data Scientist

Associate Data Scientist

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.