Junior Technical Consultant - Degree Apprenticeship

PULSAR CONSULTING LTD

London (EC3N 2JY)

Closes in 13 days (Thursday 20 November 2025 at 11:59pm)

Posted on 6 November 2025

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Summary

A unique opportunity to earn a BSc in Data Science while working as a Junior Technical Consultant at a leading ServiceNow partner. Gain hands-on experience implementing ServiceNow solutions while completing your degree apprenticeship.

Wage

£24,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data scientist (integrated degree) (level 6)
Hours
Monday to Friday, full-time.

40 hours a week

Start date

Monday 5 January 2026

Duration

3 years 3 months

Positions available

4

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

  • Supporting customer workshops and demonstrations, using the ServiceNow platform
  • Supporting the development of customer requirements (user stories), which may include scripting and configuration in different areas of the platform
  • Communicating effectively with colleagues and as directed, clients
  • Participating in required academic coursework and training to complete the degree apprenticeship
  • Working towards ServiceNow certifications
  • Working with mentors and other colleagues to develop both technical skillsets and soft skills to progress your career

Where you'll work

9A
Crosswall
London
EC3N 2JY

Training

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

Training provider

NORTHEASTERN UNIVERSITY-LONDON

Training course

Data scientist (integrated degree) (level 6)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

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.

Training schedule

  • Primarily digital learning with some in-person training (1 week per year in London)
  • A structured curriculum covering technical and business skills
  • ServiceNow platform training and certification opportunities
  • 6 hours per week of off-the-job training during working hours 

More training information

This 36-39 month programme combines flexible distance learning with intensive in-person training sessions. The course is delivered primarily through digital formats including online seminars, interactive modules, and self-directed learning, with one week of in-person training per year in London.

Requirements

Essential qualifications

GCSE in:

Maths and English (grade Minimum Grade 4/C)

Desirable qualifications

A Level in:

any three subjects (Maths desirable) (grade BBB)

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

Skills

  • Communication skills
  • Attention to detail
  • Problem solving skills
  • Team working
  • Initiative
  • Software development knowledge
  • JavaScript (not essential)

About this employer

Pulsar is a trailblazing ServiceNow partner in the UK, committed to delivering unparalleled client experiences. As a boutique consultancy, our goal is to facilitate transformative success and swift value realisation for our clients through the ServiceNow platform, augmented by the latest in AI technology.

https://www.pulsar-ngc.com/ (opens in new tab)

Company benefits

Remote and flexible working / 28 days holiday / High pension contribution / Private Health & Life Insurance / Career and personal development / A positive culture that seeks input on an ongoing basis.

After this apprenticeship

Upon completion, you'll progress to Technical Consultant with full autonomy in client engagements and project delivery.

Advanced Routes:

  • Senior Technical Consultant - Leading complex implementations and mentoring junior staff
  • ServiceNow Specialist - Deep expertise in specific platform modules
  • Solution Architecture - Designing complex ServiceNow implementations
  • Consulting Management - Managing client relationships and delivery teams

Ask a question

The contact for this apprenticeship is:

NORTHEASTERN UNIVERSITY-LONDON

The reference code for this apprenticeship is VAC1000349852.

Apply now

Closes in 13 days (Thursday 20 November 2025 at 11:59pm)

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