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

Apply Now

Trainee Data Analyst

Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Data Scientist Python Software - London (IT) / Freelance

Senior Data Scientist

Machine Learning Engineer (Research)

Data Scientist Associate

Data Scientist Associate

Join a leading IT firm as a Trainee Data Analyst and embark on a promising career path in data analysis. This entry-level role is ideal for recent graduates or individuals transitioning into the IT sector, offering a robust platform to develop analytical skills and contribute to impactful projects.

Responsibilities:

  • Support the collection and processing of complex data sets from varied sources to aid in decision-making processes.

  • Work closely with senior analysts to manage and optimise databases and analytical systems.

  • Utilise statistical methods to analyse data and generate useful business reports.

  • Participate in the design and implementation of data gathering and data processing systems.

  • Interpret data and collaborate with the IT team to enhance business operations through data-driven insights.

  • Prepare reports and visualisations to communicate findings to internal and external stakeholders.

    Requirements:

  • Holds a Bachelor’s degree in Data Science, Computer Science, Information Technology, or related fields.

  • Demonstrates strong analytical skills and precision in handling and interpreting data.

  • Familiarity with statistical software and tools (e.g., Excel, SPSS, SAS) and basic knowledge of SQL and data visualisation tools like Tableau.

  • Possesses excellent communication skills, capable of explaining complex data in a straightforward way.

  • Shows initiative, ability to work independently, and commitment to personal and professional growth.

    Offering:

  • A structured training program designed to build expertise in data analysis.

  • Career progression opportunities in a thriving and innovative sector.

  • Exposure to advanced technologies and methodologies in data handling.

  • A supportive and diverse team environment that fosters professional development.

    This position represents a fantastic opportunity for individuals eager to develop as data analysts within the rapidly evolving IT industry. Our client values diversity and encourages applications from all qualified candidates, regardless of background

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 Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.