Data Science Apprentice

Royal Borough of Kensington and Chelsea

London, W8 7NX

Closes in 15 days (Friday 25 October)

Posted on 8 October 2024

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Contents

Summary

Join our innovative team at RBKC as a Data Science Apprentice and embark on an exciting journey. This apprenticeship offers a unique opportunity to gain hands-on experience while earning a recognized qualification. You’ll work alongside experienced professionals, tackling real-world projects that impact our community.

Annual wage
£31,716 a year

Minimum wage rates (opens in new tab)

Pay range: £31,716 - £35,862 per annum

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

36 hours a week

Possible start date

Monday 6 January

Duration

3 Years 6 Months

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

  • Assist in defining business requirements and identifying data science solutions to
    meet those requirements.
  • Also assist in building and running of data products and services which deliver
    continuous insight and value to staff and residents.
  • Be responsible for the creation of Power BI dashboards and data visualisations
    aligned to project requirements to provide insight to the business.
  • Working with Data Scientist(s) to research new innovations and emerging
    technology and to develop new data tools using modern data technologies and
    platforms.
  • Assisting the Data Team to monitor and evaluate data products and processes to
    meet productivity, security, data protection, and ethical needs.
  • Assist in collecting, cleaning and pre-processing data for analysis.
  • Perform exploratory data analysis to uncover patterns, trends, and insights.
  • Learning new things and helping people through applied curiosity and initiative.

Where you’ll work

Town Hall

Hornton Street

London

W8 7NX

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

NORTHEASTERN UNIVERSITY-LONDON

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

    It’s a hybrid delivery method combining online and in-person sessions. Apprentices mainly work with the university online using their platform (canvas) with their one day per week off the job learning. However they do attend in-person classes at our London campus, Devon House, St Katharine’s Docks one full week per academic year.

     

    Requirements

    Essential qualifications

    GCSE in:

    • English (grade 1)
    • maths (grade 1)
    • STEM subject (grade 3 A levels)

    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
    • IT skills
    • Organisation skills
    • Problem solving skills
    • Administrative skills
    • Analytical skills
    • Team working
    • Creative
    • Initiative

    About this company

    About Us: Supporting you to support others In Kensington and Chelsea, we put local people and local businesses at the heart of decision-making, working in partnership with them to provide quality services that are responsive, effective and efficient. We are dedicated to ensuring the most vulnerable people can access the support they need, when they need it.

    https://www.rbkc.gov.uk/ (opens in new tab)

    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

    Data Analysts or Junior Data Scientists

    Ask a question

    The contact for this apprenticeship is:

    NORTHEASTERN UNIVERSITY-LONDON

    recruitment@rbkc.gov.uk

    The reference code for this apprenticeship is VAC1000280461.

    Apply now

    Closes in 15 days (Friday 25 October)

    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.