Data Scientist Degree Apprentice


Welwyn Garden City, AL7 1TW

Closes in 17 days (Saturday 10 August at 11:59pm)

Posted on 10 July 2024


● Joining us in our Digital X team in September 2024 or earlier if available, you’ll be provided all the technical training you’ll need to be successful in your role ● You’ll be part of our growing community of WaterTECH and ClimateTECH apprentices, benefiting from a supportive and collaborative working environment.

Annual wage
£18,000 a year

Minimum wage rates (opens in new tab)

The pay may be negotiated and may rise after a probation period has been successfully completed.

Training course
Data scientist (integrated degree) (level 6)
Shifts tbc

40 hours a week

Possible start date

Monday 23 September


3 Years

Positions available



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

About the course

Final award: BSc Honours Data Science (work-based)
Our Data Scientist Degree Apprenticeship has been developed by the University of Hertfordshire in partnership with leading employers and subject experts to meet growing global demand for data science talent and prepare apprentices for successful careers as data scientists.

Apprentices will develop the skills and expertise to interrogate data, systems and approaches to unlock insights, improve organisational processes and inform decision-making.

Location: Spectra Building, College Lane, Hatfield AL10 9AB

Delivery: Day release (sem A & B). Block release (sem C). Flexible learning​.

Where you’ll work

Shire Park

2 Falcon Gate

Welwyn Garden City



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


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

    This training plan has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.


    Essential qualifications

    GCSE or equivalent in:

    • English Language (grade 4 / C equivalent)
    • Maths (grade 4 / C equivalent)
    • Maths (grade B)
    • Applied Science AND A level Maths (grade C)

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


    • Communication skills
    • IT skills
    • Attention to detail
    • Organisation skills
    • Customer care skills
    • Problem solving skills
    • Presentation skills
    • Administrative skills
    • Number skills
    • Analytical skills
    • Logical
    • Team working
    • Creative
    • Initiative
    • Innovative
    • Time Management

    About this company

    About the job Join our digital revolution at Water Offsets in Welwyn Garden City, Herts! We use technology to address climate change and to deliver a water-resilient world! Join our team as we challenge norms and deliver innovation, creativity, strategy and intelligent design to make communities, cities and companies climate and water resilient. To make digital experiences which are effortless and secure. (opens in new tab)

    After this apprenticeship

    After successfully completing the degree apprenticeship programme, you will have developed the knowledge, skills and behaviours to work in industry as a data scientist.
    Further career opportunities include the following roles:
    Data scientist
    Data analyst
    Data engineering
    Data architect
    Technology professional

    The University’s careers service provides a range of support to help apprentices develop skills attractive to employers. Visit our careers pages for more information.

    Ask a question

    The contact for this apprenticeship is:


    Dominic Whyte-Ifill


    The reference code for this apprenticeship is VAC1000263677.

    Apply now

    Closes in 17 days (Saturday 10 August at 11:59pm)

    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.