Level 6 Digital & Technology Solutions Degree Apprenticeship – Data Analytics Pathway

JLR

Warwick (CV34 6SW)

Closes in 5 days (Tuesday 10 March 2026)

Posted on 26 February 2026

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Contents

Summary

As an apprentice, you will develop the Knowledge, Skills, and Behaviours (KSBs) outlined in the apprenticeship standard. These will be assessed during your End Point Assessment (EPA), where you will demonstrate the competencies and skills you’ve gained throughout the programme.

Wage

£26,092 a year

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Training course
Digital and technology solutions professional (level 6)
Hours
You’ll achieve a BSc (Hons) degree in Digital and Technology Solutions developed in conjunction with the University of Warwick.

32 hours a week

Start date

Monday 7 September 2026

Duration

4 years

Positions available

9

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

During your apprenticeship, you’ll gain valuable hands-on experience and career-building skills while working at the forefront of the automotive industry. This exciting programme is designed to help you build practical skills, deepen your foundational knowledge, and develop essential business behaviours such as teamwork and problem-solving. And you’ll be supported by a JLR early careers cohort leader, the university team, and your line manager every step of the way.

You’ll achieve a BSc (Hons) degree in Digital and Technology Solutions developed in conjunction with the University of Warwick. For more details on the degree course, please visit: Digital Technology Solutions

Year 1 – 2

This programme is delivered through a combination of online study, face-to-face lectures, and independent learning each week. This gives you the chance to apply your learning from the University of Warwick to projects in a real-world environment. You’ll study a range of modules designed to build your essential knowledge, skills and behaviours, with regular process reviews along to way to ensure you’re getting the support you need from your tutors and line manager.

Years 3-4

In years 3 and 4, you will complete modules related to your chosen specialism - Data Analytics. In your final year, you’ll complete a work-based project as part of your End Point Assessment (EPA). This is an opportunity for you to use the skills and experience you gained throughout your time on the programme and apply them directly to your role. And when you’ve successfully completed your EPA, you’ll achieve your Level 6 Apprenticeship and take on new responsibilities and make a meaningful impact within the business.

Where you'll work

Trident Park
Poseidon Way
Warwick
CV34 6SW

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

THE UNIVERSITY OF WARWICK

Training course

Digital and technology solutions professional (level 6)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Analyse a business problem to identify the role of digital and technology solutions.
  • Identify risks, determine mitigation strategies and opportunities for improvement in a digital and technology solutions project.
  • Analyse a business problem in order to specify an appropriate digital and technology solution.
  • Initiate, design, code, test and debug a software component for a digital and technology solution.
  • Apply relevant standard processes, methods, techniques and tools. For example, ISO Standards, Waterfall, Agile in a digital and technology solution project.
  • Manage digital and technology solutions projects. For example, identifying and resolving deviations from specification, applying appropriate Project Management methodologies.
  • Work effectively within teams, leading on appropriate digital technology solution activities.
  • Apply relevant organisational theories. For example, change management principles, marketing approaches, strategic practice, and IT service management to a digital and technology solutions project.
  • Apply relevant security and resilience techniques to a digital and technology solution. For example, risk assessments, mitigation strategies.
  • Initiate, design, implement and debug a data product for a digital and technology solution.
  • Determine and use appropriate data analysis techniques. For example, Text, Statistical, Diagnostic or Predictive Analysis to assess a digital and technology solutions.
  • Plan, design and manage simple computer networks with an overall focus on the services and capabilities that network infrastructure solutions enable in an organisational context.
  • Report effectively to colleagues and stakeholders using the appropriate language and style, to meet the needs of the audience concerned.
  • Research, investigate, and evaluate innovative technologies or approaches in the development of a digital and technology solution.
  • Apply relevant legal, ethical, social and professional standards to a digital and technology solution.
  • Identify and define software engineering problems that are non-routine and incompletely specified.
  • Provide recommendations as to the most appropriate software engineering solution.
  • Use appropriate analysis methods, approaches and techniques in software engineering projects to deliver an outcome that meets requirements.
  • Implement software engineering projects using appropriate software engineering methods, approaches and techniques.
  • Respond to changing priorities and problems arising within software engineering projects by making revised recommendations, and adapting plans as necessary, to fit the scenario being investigated.
  • Determine, refine, adapt and use appropriate software engineering methods, approaches and techniques to evaluate software engineering project outcomes.
  • Evaluate learning points arising from software engineering work undertaken on a project including use of methods, analysis undertaken, selection of approach and the outcome achieved, in order to identify both lessons learnt and recommendations for improvements to future projects.
  • Extend and update software development knowledge with evidence from professional and academic sources by undertaking appropriate research to inform best practice and lead improvements in the organisation.
  • Analyse client needs and determine how to advise them strategically through improved business processes, new ideas, or technology solutions.
  • Effectively communicate value add to the client through a variety of media. For example, presentations, written reports, Storytelling in a professional setting through performing socio-technical process improvements in a range of environments.
  • Make evidence based recommendations taking into account risks, costs, and benefits.
  • Participate in walk-throughs for Information Technologies, to identify, document and evaluate key risks within a client’s organisation.
  • Perform stakeholder analysis to identify, determine and deepen understanding of system requirements and develop client relationships.
  • Effect change within an organisation through evaluation of a new system, process or initiative.
  • Ensure legal and ethical requirements are accommodated in the development of digital and technology solutions.
  • Evaluate the  success of new systems, processes, or initiatives.
  • Use requirements elicitation, analysis and documentation to produce an acceptable solution for business problems or further opportunities.
  • Conduct Process Analysis, Definition, Mapping and Modelling within a business situation without supervision.
  • Produce Use Cases which are of value to all stakeholders of a system.
  • Use tools and benchmarking to support modelling and requirements gathering and recommend approaches to team members as required.
  • Produce a business case to scope a proposed project including business benefits and recommendations.
  • Use products of analysis in the design and development of a system.
  • Evaluate the impacts of model selection and how they inter-relate with each other when generating business analytics.
  • Recommend and use appropriate software tools to implement Business Analysis tasks and outcomes.
  • Discover, identify and analyse security threats, attack techniques and vulnerabilities and recommend mitigation and security controls.
  • Undertake security risk assessments for complex systems without direct supervision and propose a remediation strategy relevant to the context of the organisation.
  • Recommend improvements to the cyber security approaches of an organisation based on research into future potential cyber threats and considering threat trends.
  • Manage cyber security risk.
  • Use appropriate cyber security technology, tools and techniques in relation to the risks identified.
  • Lead cyber security awareness campaigns and evaluate their effectiveness.
  • Analyse cyber security requirements against other design requirements for systems or products, identify conflicting requirements and recommend appropriate solutions with clear explanation of costs and benefits.
  • Lead the design and build of systems in accordance with a security case to address organisational challenges.
  • Define Data Requirements and perform Data Collection, Data Processing and Data Cleansing.
  • Apply different types of Data Analysis, as appropriate, to drive improvements for specific business problems.
  • Find, present, communicate and disseminate data analysis outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Visualise data to tell compelling and actionable narratives by using the best medium for each audience, such as charts, graphs and dashboards.
  • Identify barriers to effective analysis encountered both by analysts and their stakeholders within data analysis projects.
  • Apply a range of techniques for analysing quantitative data such as data mining, time series forecasting, algorithms, statistics and modelling techniques to identify and predict trends and patterns in data.
  • Apply exploratory or confirmatory approaches to analysing data. Validate and and test stability of the results.
  • Extract data from a range of sources. For example, databases, web services, open data.
  • Analyse in detail large data sets, using a range of industry standard tools and data analysis methods.
  • Identify and collate stakeholder needs in relation to computer network requirements, plans and designs.
  • Plan, design, document, and develop the relevant elements of a computer network within an organisation or between organisations, taking into account customer requirements (performance, scale), constraints (budget, equipment availability), and define policies for their use.
  • Monitor performance and ensure networks are configured correctly and perform as expected by designers or architects. Undertake capacity management and audit of IP addressing and hosted devices.
  • Investigate, troubleshoot and resolve data network faults in local and wide area environments, using information from multiple sources, Physically or Remotely by console connection. Recommend and implement short term fixes to restore service and, or, quality of experience and recommend longer term changes to prevent recurrence or reduce impact of future occurrences.
  • Implement computer networks from a design including testing and validation. This includes populating variables in configurations, for example, IP addresses and subsequent application of configuration to equipment such as routers, switches, firewalls.
  • Secure network systems by establishing and enforcing policies, and defining and monitoring access. Support and administer firewall environments in line with IT security policy.
  • Research and evaluate emerging network technologies and assess relevance to current network requirements. Provide an objective opinion on how new features and technologies may be incorporated as required by the organisation.
  • Investigate security concerns or attacks. For example, Distributed Denial of Service (DDOS), port scanning, assessing key metrics and indicators, evidencing the chosen steps to mitigate.
  • Analyse a business problem to identify the role of digital and technology solutions.
  • Identify risks, determine mitigation strategies and opportunities for improvement in a digital and technology solutions project.
  • Analyse a business problem in order to specify an appropriate digital and technology solution.
  • Initiate, design, code, test and debug a software component for a digital and technology solution.
  • Apply relevant standard processes, methods, techniques and tools. For example, ISO Standards, Waterfall, Agile in a digital and technology solution project.
  • Manage digital and technology solutions projects. For example, identifying and resolving deviations from specification, applying appropriate Project Management methodologies.
  • Work effectively within teams, leading on appropriate digital technology solution activities.
  • Apply relevant organisational theories. For example, change management principles, marketing approaches, strategic practice, and IT service management to a digital and technology solutions project.
  • Apply relevant security and resilience techniques to a digital and technology solution. For example, risk assessments, mitigation strategies.
  • Initiate, design, implement and debug a data product for a digital and technology solution.
  • Determine and use appropriate data analysis techniques. For example, Text, Statistical, Diagnostic or Predictive Analysis to assess a digital and technology solutions.
  • Plan, design and manage simple computer networks with an overall focus on the services and capabilities that network infrastructure solutions enable in an organisational context.
  • Report effectively to colleagues and stakeholders using the appropriate language and style, to meet the needs of the audience concerned.
  • Research, investigate, and evaluate innovative technologies or approaches in the development of a digital and technology solution.
  • Apply relevant legal, ethical, social and professional standards to a digital and technology solution.

Training schedule

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

Requirements

Essential qualifications

A Level in:

  • Maths (grade c)
  • Physics, Chemistry, Design & Technology, ICT, Comp (grade c)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

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

About this employer

LIVE THE EXCEPTIONAL WITH SOUL We are the proud creators. The curious minds. Inspired to create unique vehicles, to realise our vision of modern luxury. We work as one. Shaping the future. Motivated by a love for our customer. United by a deep admiration for each other. Our sense of integrity and our spirit of excellent empowers us. Our ambition to grow. Our passion to chart new landscapes of innovation, encourages us to dream. It’s what drives us. To be visionaries. To be creators.

https://careers.jaguarlandrover.com/ (opens in new tab)

Company benefits

You’ll also enjoy a generous holiday allowance, a discounted car purchase and lease scheme for you and your family, an excellent pension scheme and access to a wide range of deals and discounts from retailers and sports clubs.

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

This pathway will expose you to key areas, including Data Science & Machine Learning and Business Analytics & Visualisation, and you could find yourself working within Data & Artificial Intelligence.

Ask a question

The contact for this apprenticeship is:

THE UNIVERSITY OF WARWICK

The reference code for this apprenticeship is VAC2000018067.

Apply now

Closes in 5 days (Tuesday 10 March 2026)

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