Level 6 Data Scientist Degree Apprenticeship Programme - Colworth, Bedfordshire

UNILEVER U.K. CENTRAL RESOURCES LIMITED

Bedford, MK44 1LQ

Closes on Friday 24 January

Posted on 30 October 2024

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Contents

Summary

Would you like to work with and learn from the biggest brands in the world, bringing your purpose to life with your work? We care as much about the sustainability of our business as we do about the success of our brands and our people. Together, we can feel good about the work we do every day.

Annual wage
£23,600 a year

Minimum wage rates (opens in new tab)

Training course
Data scientist (integrated degree) (level 6)
Hours
Typically, Monday to Friday 9am to 5pm.

40 hours a week

Possible start date

Monday 8 September

Duration

3 years

Positions available

1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

Data Science is one of the most exciting fields of study today! A Data Science apprentice at Unilever will look to find information in diverse data sets to address complex problems and learn skills in computer science, statistics, data analysis and much more.

Duties include:

  • Cleaning and improving the quality of data, creating models and dashboards
  • Exploring ways to use generative AI (Artificial Intelligence) to enhance productivity
  • Bringing topics such as Programming in Python, Machine Learning / AI models, and statistics into real work applications

Where you’ll work

Colworth House

Colworth Laboratory

Sharnbrook

Bedford

MK44 1LQ

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

UNIVERSITY OF KEELE

Your training course

Data scientist (integrated degree) (level 6)

Equal to degree

Course contents
  • Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results.  Collaborate with colleagues to gather requirements.
  • Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
  • Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem.  Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
  • Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
  • Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment.  Determine the implicit and explicit value of data. Assess value for money and Return on Investment.  Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
  • Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards.  Visualise data to tell compelling and actionable narratives.  Make recommendations to decision makers to contribute towards the achievement of organisation goals.
  • Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
  • Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.

    • Your training plan

    As an apprentice, you’ll receive on-the-job training and experience in an administrative position along with formal training to gain the knowledge and skills you’ll need to support our business operations.

    You’ll join a team with a dedicated line manager committed to enhancing your career experiences.

    You will receive a Degree in Data Science upon completion of this apprenticeship.

    Requirements

    Essential qualifications

    GCSE in:

    • English and maths (grade 4 or above)
    • 3 A-Levels including B in Maths and STEM subject (grade Grade 4 or above)

    Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

    Skills

    • Communication skills
    • Attention to detail
    • Organisation skills
    • Problem solving skills
    • Team working
    • Creative

    Other requirements

    Please note: we open for applications once a year and work on a rolling basis, which means that as soon as we reach the required number of applications, we will close the process for that role/business area. Therefore, we advise applying as early as possible once applications go live to avoid disappointment.

    About this company

    Unilever are one of the world's largest fast-moving consumer goods companies, meaning we own, make & sell products that people use in their everyday lives. We own over 400 brands found in homes all over the world – including iconic global brands such as Dove, Lifebuoy, and Magnum. Our apprenticeship programmes allow people from all backgrounds to find their purpose and rise to their full potential, whilst learning invaluable skills and earning a wage. ​​​​​​​​​​​ All our programmes offer you on the job experience and formal training to give you the knowledge and skills to fire-up your career and give you the opportunity to work towards nationally recognised qualifications.

    https://careers.unilever.com/uk-apprenticeships (opens in new tab)

    Company benefits

    A pension Scheme • A discounted staff shop • Shares • 25 days of holiday allowance

    Disability Confident

    Disability Confident

    A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

    You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

    After this apprenticeship

    Good chances of progression to temporary/permanent employment.

    Ask a question

    The contact for this apprenticeship is:

    UNIVERSITY OF KEELE

    The reference code for this apprenticeship is VAC1000284755.

    Apply now

    Closes on Friday 24 January

    When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

    After signing in, you’ll apply for this apprenticeship on the company's website.

    Company’s application instructions

    Apply online through our website!