Data Science & Software Placement Year Student

Frazer-Nash Consultancy
Leatherhead
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Graduate

Data Science Graduate

Data Science Graduate

Data Scientist - Level 1

Data Scientist - Level 1

Data Scientist - Level 1

Data Science & Software Placement Year Student

Frazer‑Nash are an engineering, systems and technology consultancy that supports organisations in making lives safe, secure, sustainable and affordable. This placement year role is within our Digital stream and will give you exposure to data science and software engineering across a range of sectors including defence, energy, transport and government.

Role Details
  • Locations: Bristol, Burton, Leatherhead, Manchester, Gloucester
  • Start Date: 29th June 2026
  • Contract Length: 10‑12 months
  • Closing Date: 11th January 2026 (rolling applications encouraged)
Responsibilities
  • Work on multiple projects simultaneously, managing time and delivering to client needs.
  • Contribute to the full data life cycle (governance, analytics, forecasting) or the full software design life cycle (requirements, design, implementation, testing).
  • Collaborate with multidisciplinary teams and customers to deliver engineering solutions across all markets.
  • Apply creative problem‑solving skills to complex technical problems.
Qualifications
  • 2:1 degree or higher (or equivalent) in Engineering, Computer Science, Maths or Physical Sciences.
  • Pass pre‑employment screening and UK National Security Vetting clearance.
  • Clear communication, organisational and analytical skills.
What We Offer
  • Attractive salary: £25,000 pro rata
  • 25 days holiday + 5 days purchase
  • Hybrid working with flexibility around life outside of work
  • Company pension scheme, private healthcare membership and wellbeing support
  • Bonus scheme linked to company performance
  • Support and mentoring on route to achieving professional accreditation
  • Paid membership fees to a professional institution
  • Early career teams and office socials
Equal Opportunities

Individuals from diverse backgrounds are encouraged to apply, as we believe that diversity and inclusion are fundamental to creating a dynamic and thriving workplace culture.


#J-18808-Ljbffr

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.