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

Apply Now

Test Planner

Horsham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Demand Forecasting

Data Scientist - Demand Forecasting

Data Warehouse Manager | Mid Cheshire Hospitals NHS Foundation Trust

Data Analyst

Senior Data Scientist

Data Analyst (Software Systems Test)

Test Planner ​
Purpose of the role:
​The role will directly support the development of our technology by gathering and translating requirements into test plans as well as ensuring test requests are prioritised according to the business needs and maximising the utilisation of the Test estate. By meticulously planning and executing test plans, you help the department operate smoothly and improve the overall efficiency of tests. This maximises the uptime of test stands, which in turn delivers significant value to the business. Additionally addressing and communicating data quality issues ensures that the data used in testing is reliable and accurate. This role is crucial for maintaining high standards and achieving timely, accurate results which are essential for the successful development of our products.

Key Accountabilities:

  • Manage usage of the Test Estate to ensure it delivers the maximum value to the business through collaboration with project managers, systems engineers and the Test Operations team. This includes reporting the cost of testing to the projects,
  • Collaborate with the Test Operations team during planning and execution of tests to overcome test hardware limitations and resolve data quality issues.
  • Develop a library of standard test methods which improves the efficiency of test planning and enables the growth of consistent and relevant test datasets.
  • Collaborate with the Data Analysis team to develop and maintain software tools and databases for test data analysis.
  • Communicate test plans to all stakeholders in an effective way

    Knowledge and skills required for the role:
    ​BSc/MSc or BEng/MEng in Systems Engineering, Mechanical Engineering, Chemical Engineering or related discipline
  • Experience dealing with planning activities, handling multiple workstreams in parallel
  • Fast learner, capable of understanding requirements of test plans and test stands quickly to assess feasibility
  • Eagerness to develop, document and apply detailed process flows
  • Excellent written and oral communication skills

    In return we offer a fantastic working environment and a comprehensive benefits package. This includes life insurance, healthcare cash plan, 25 days annual leave, Share save scheme and pension along with enhanced maternity, paternity & adoption pay and shared parental leave as part of our family friendly policy.
    TPA are a specialist recruitment agency recruiting on behalf of our client.
    If you think you are a close fit for this position, please do apply and we will also register you for any upcoming positions that may be suitable

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.