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

Apply Now

Data Analyst Apprenticeship - Level 4 - BBC Studios - Business & Legal Affairs - London

BBC Group and Public Services
City of London
4 days ago
Create job alert
Overview

Data Analyst Apprenticeship - Level 4 - BBC Studios - Business & Legal Affairs - London

Contract Type: Fixed-Term Apprenticeship, Full-time for 18 months

Department: Data Governance & Privacy, BBC Studios

Location: London - Television Centre

Salary: £22,950 (+£5,441 London Weighting)

Why this scheme

Join us as an apprentice at BBC Studios to kick-start your career in a role you will love. You will learn on-the-job, developing knowledge and skills toward an apprenticeship qualification with one of our learning providers.

What you will do

As a Data Analyst apprentice (DAA26) you will join a dynamic, collaborative team and work on meaningful projects that shape the BBC’s future. You will develop cutting-edge skills in areas such as machine learning, data visualisation, and ethical data use. You will be part of the Data Governance and Privacy team, helping drive the strategy that keeps BBC Studios data secure, compliant and high-quality.

Your key responsibilities and impact
  • Use SQL code and other tools to implement data quality rules and measures.
  • Improve soft skills by working with the business to assess needs and improve adoption of data.
  • Data Processing with Pandas.
  • Data Visualisation.
  • Power BI and Tableau.
  • Data Science for Business.
  • Text Mining.
  • Introduction to Machine Learning.
  • Time Series Analysis.
  • Data Privacy, Ethics & Regulations.

You’ll study for an industry recognised apprenticeship qualification, learning both on and off the job. You’ll spend at least one day a week studying for a Level 4 Data Analyst qualification from our external Learning Provider. You will be supported with career development, employability training and networking opportunities to help you take your next step within the BBC or elsewhere in the industry.

Your skills and eligibility

We’re interested in your passion for working at the BBC and your enthusiasm for delivering world-class content and operational excellence to our audiences. We’re not focused on qualifications; we look for potential and transferable strengths and experience.

If you can bring some of these skills and experiences, along with transferable strengths, we’d love to hear from you:

  • Love maths and algebra.
  • Comfortable using Excel spreadsheets.
  • Enjoy working with data.
  • Using AI tools for increased productivity.
  • Brilliant organisational skills and strong problem-solving abilities.
  • Ability to manage multiple deadlines and demands.
  • Calm and focused approach to changing circumstances.
  • Keen interest in the BBC and how people consume content, with fresh ideas.
  • Enthusiastic self-starter, flexible and adaptable.

This scheme is aimed at non-graduates. If you have a degree and you’re interested in similar roles, consider other BBC opportunities or apprenticeship schemes.

Eligibility criteria

To be eligible for an apprenticeship at the BBC, you must:

  • Be 18 years old or over by the time the apprenticeship begins in September 2026
  • Have lived in the UK continuously for the last 3 years prior to the start of the apprenticeship
  • Be legally eligible to work full-time in the UK for the entire duration of the apprenticeship
  • Not currently be enrolled in another apprenticeship programme
  • Not have completed or hold qualifications in the apprenticeship subject at the same or higher level

To apply for this scheme, you must also:

  • Have maths and English GCSE at Grade 4/C or above or equivalent qualification
  • Have achieved, or expected to achieve, by the start of the scheme A Level/Higher Maths
Ready to apply?

Click ‘Apply Now’ to create a candidate profile. No CV or cover letter needed. If you’re eligible, we’ll guide you through the next steps. You’ll need to live within a commutable distance of the role. This is a fixed-term apprenticeship; contract lasts for the duration of the scheme.

Disclaimer

This job description states the essential characteristics and principal accountabilities. It is not a complete or detailed account of all duties. Access to the role may depend on qualifications required by the training provider and a skill scan process.

BBC will conduct employment screening checks, including references, eligibility to work checks, and, if applicable to the role, safeguarding and adverse media checks. Any offer is conditional on these checks being satisfactory.

Information at a Glance: This is your BBC. Find out more about life at BBC, diversity, inclusion and belonging, and disability confidence initiatives on the BBC careers site.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst Apprenticeship - Level 4 - BBC Studios - Business & Legal Affairs - London

Data Analyst Apprenticeship - Level 4 - London

Data Analyst Apprenticeship - Level 4 - Glasgow

Data Analyst

Apprentice Data Analysts

Data Quality Assurance Officer (Apprentice) | Frimley Health NHS Foundation Trust

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.