Data Science & Software Placement Year Student

Frazer-Nash Consultancy
Manchester
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

Title: Data Science & Software Placement Year Student


Locations: Bristol, Burton, Leatherhead, Manchester and Gloucester


Start Date: 29th June 2026


Closing Date: 11th January 2026 (rolling deadline, early applications encouraged)


Contract Length: 10-12 months


Who We Are: Frazer-Nash are an engineering, systems and technology consultancy.


Through our meaningful innovations, our experts support organisations make lives safe, secure, sustainable and affordable.


Why Frazer-Nash: The world and our clients have lots of problems and we get a kick out of finding digital and data solutions to these problems. As a Placement year student, you will typically be working on multiple projects simultaneously, managing your time and accruing a wealth of experience and skills.


The role: This is a Data Science and Software Engineer placement year role within our Digital stream at Frazer-Nash. As a student you could be joining one of our Data Science teams, which cover the full data life cycle from data governance to analytics, forecasting to decision making, or one of our Engineering Software teams, which cover the full software design life cycle from requirements and specification through design and implementation to testing.


Our teams deliver engineering solutions through system architecture, modelling, custom software and strategic advice across all our markets, including defence, energy, transport, government and others.


We are looking for enthusiastic, open and curious minded people who enjoy problem solving. Those selected will receive training, mentoring and coaching to support their development into becoming well-rounded consultants and will be supported to achieve professional accreditations including chartership.


We’re Looking For People Who Can Become:



  • A creator: Our projects solve problems that customers have today, some of these turn into solutions that we can re-use as products. You will have the vision for how to re-use your work to solve bigger problems in the future. Given a blank sheet of paper we are looking for candidates who are able to create the new and the different.
  • A collaborator: You will work in multi-disciplinary teams with other Frazer-Nash colleagues and our customers. You will be able to get along with others from different technical and social backgrounds and be part of a team which is more capable than the sum of its parts.
  • An adapter: Ability to adapt to different and complex situations and manage your time to meet competing demands.
  • A multi-tasker: You will work on multiple projects concurrently and quickly take responsibility for delivery of different elements. Your responsibilities will grow year-on-year, as you grow in capability. You will have the ability to manage your own time to handle competing demands to meet deadlines.
  • A problem solver: You will solve many different technical problems, seeing them from different perspectives and finding solutions which put the customer at the heart of our work. Often our clients aren’t aware of what outcomes best suit their requirements. You will have the ability to explore different options for our clients to ensure we deliver the best outcomes.

Eligibility: You will be on track to obtain a 2:1 Degree or higher (or equivalent/experience) with a related Engineering, Computer Science, Maths or Physical Sciences bias.


Pre-employment screening and satisfaction with UK National Security Vetting clearance criteria are required.


Our Recruitment Process:



  1. Application - CV submission
  2. Measure Potential - Arctic Shores task-based assessment
  3. Video Interview - Situation based & technical questions
  4. Explore Interview – virtual/in-person interview with competency and technical questions
  5. Decision/Feedback – you receive feedback regardless of outcome

Benefits and Offerings:



  • The opportunity to join and learn with a team that’s both enthusiastic and encouraging.
  • An attractive salary: £25,000 pro rata
  • 25 days holiday + the opportunity to buy 5 days.
  • Company pension scheme.
  • Private healthcare membership + wellbeing support.
  • Bonus scheme linked into 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.