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2 дня назад

Data Scientist Apprenticeship - Level 6 - Research & Development - London

24 650GBP
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Data Scientist Apprenticeship - Level 6 - Research & Development - London (AI/Machine Learning): Developing data science capabilities for audience insights, internal tooling, and BBC products with an accent on data cleansing, validation, predictive modelling, and production deployment. Focus on learning the full data science lifecycle, applying AI and machine learning responsibly, and building scalable data-driven solutions for broadcast and audience experiences.

Location: London - The Light House; applicants must live within a commutable distance

Salary: £24,650 plus £5,441 London Weighting

Company

hirify.global Research & Development explores technologies supporting the hirify.global’s mission, creating intellectual property, developing technical capabilities, and shaping industry standards and partnerships. The department researches high-performance, resilient, and scalable workflows for the transition from traditional broadcast to IP-only production, distribution, and audience experiences.

What you will do

  • Learn how the hirify.global uses data to improve audience connections, products, internal tooling, and workflows.
  • Use AI and machine learning approaches to develop audience insights and products.
  • Contribute to the data science lifecycle from inception through production deployment and beyond.
  • Cleanse and validate data and build and evaluate predictive models.
  • Study toward a BSc (Hons) in Data Science, including artificial intelligence, deep learning, machine learning, data infrastructure, tools, data visualisation, and dashboards.

Requirements

  • Must be 18 or over by the apprenticeship start in September 2027.
  • Must have lived continuously in the UK for the three years before the apprenticeship starts and be legally eligible to work full-time in the UK for the full 36-month duration.
  • Must be a non-graduate, not currently enrolled in another apprenticeship, and not hold a qualification in the same subject at the same or higher level.
  • Must have Maths and English GCSE at Grade 4/C or above, National 5 at C, or an equivalent qualification.
  • Must have or expect to achieve at least 104 UCAS points by the start of the scheme, including A Level/Higher Maths, an extended BTEC in Engineering with Engineering Maths, or an equivalent qualification.
  • Passion for maths, data, machine learning, and AI, with enthusiasm for adopting AI and machine learning technologies responsibly.
  • Problem-solving, organisation, negotiation, flexibility, adaptability, and the ability to manage multiple deadlines.
  • Interest in the hirify.global, its public service mission, and its values, with fresh ideas and new perspectives.

Culture & Benefits

  • Fixed-term, full-time apprenticeship lasting 36 months, with a 35-hour working week.
  • At least one day per week of remote study toward an industry-recognised BSc (Hons) Data Science qualification with BPP University.
  • 25 days of annual leave, defined pension scheme, discounted dental, healthcare and gym benefits, and flexible benefits.
  • hirify.global Academy training, mentoring by industry professionals, a dedicated Team Manager and Scheme Specialist, and employability and networking support.
  • Potential financial support for relocation, subject to eligibility; training may involve travel to locations across the UK.
  • Inclusive, values-based environment focused on development, work-life balance, and belonging.

Hiring process

  • Create a candidate profile and answer application questions; no CV or cover letter is required.
  • Applications must be submitted online, and applicants should apply to only one hirify.global apprenticeship advert.
  • Offers are conditional on eligibility, a training-provider skill scan, employment screening, and any applicable safeguarding or adverse media checks.

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