Data Scientist (A&V) Degree Apprentice – Pfizer – Find an apprenticeship

Summary

This is a great opportunity to work for one of the world's innovative pharmaceutical companies as a Data Scientist Apprentice while gaining a BSc (Hons) Data Scientist qualification.

Annual wage

£20,000 a year

Minimum wage rates (opens in new tab)

Annual Salary Review

Training course

Data scientist (integrated degree) (level 6)

Hours

Monday to Thursday, 9am – 5:25pm with 45 minute lunch break. Fridays, 9am – 4:05pm with 45 minute lunch break.

37 hours 30 minutes a week

Possible start date

Monday 1 September

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

The A&V Apprentice will play a pivotal role in enhancing operational efficiency within the team by maintaining dashboards and databases, triaging communications and ensuring signoff and archiving of materials. The apprentice will learn to track metrics and insights to inform decision makers and present them in appealing and meaningful ways. Over time, the A&V apprentice will gain experience in programming languages and online tools to automate traditionally manual tasks, leveraging AI and machine learning techniques to streamline processes and improve efficiency.
Candidates should be adept at juggling multiple projects and have a talent for translating data outputs into compelling narratives and actionable insights. They must be able to work autonomously while taking responsibility for the quality and accuracy of their work, all within a collaborative team environment that values, support and knowledge sharing. The apprenticeship will begin with foundational training in health economics, essential for understanding the value assessment of medicines and vaccines through Health Technology Assessments (HTA). The apprentice will then explore existing online tools for sourcing, accessing, manipulating, and interpreting datasets, with the expectation of enhancing these tools and applying them to conduct their own analytics.

Where you’ll work

Pfizer Ltd

Walton Oaks

Dorking Road

Tadworth, Surrey

KT20 7NS

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 NOTTINGHAM, THE

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

Block release to Nottingham University.

Requirements

Essential qualifications

GCSE in:

5 GCSE's including English (grade C / 4 and Above)
Maths (grade B / 5 and Above)

A Level in:

2 other subjects (grade B, C)
Maths (grade B)

Other in:

Data Analyst (grade Distinction)

Desirable qualifications

A Level in:

Statistics (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.

Skills

Communication skills
Attention to detail
Organisation skills
Problem solving skills
Presentation skills
Administrative skills
Number skills
Analytical skills
Logical
Team working
Initiative

Other requirements

The apprentice must be able to demonstrate the required attitudes, behaviours and interpersonal skills associated with the professional workplace. The apprentice must be willing to commit an amount of personal time to study. Please ensure you check out travel options to be able to commute to the workplace.

About this company

Our apprenticeship and graduate services have been supporting science industry employers to attract, retain and develop people who can contribute to business success since 2012.

Company benefits

Holiday Allowance – 25.5 Days. Holiday Allowance, plus Bank Holidays. Pension – Employee 5%, Employer 3%. Casual Dress. Employee Assistance Programme. Onsite Parking. Onsite Canteen. Employee Recognition/Awards.

After this apprenticeship

Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.

Ask a question

The contact for this apprenticeship is:

Cogent Ssc Limited

Imogen Russell

imogen.russell@cogentskills.com

01925 515249

The reference code for this apprenticeship is VAC1000290779.

Apply now

Closes on Sunday 16 February

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

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Data Scientist (A&V) Degree Apprentice – Pfizer

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