At a Glance
- Tasks: Support the Systems and Process Manager in optimising supply chain processes using data analytics.
- Company: Join Pfizer, a global leader dedicated to breakthroughs that change patients' lives.
- Benefits: Enjoy 25.5 days holiday, onsite gym, casual dress, and employee recognition perks.
- Other info: Apply early as the vacancy may close sooner due to high demand.
- Why this job: Gain hands-on experience while studying for a BSc in Data Science with industry experts.
- Qualifications: 5 GCSEs including Maths and English, plus A-Levels or Level 4 Data Analyst apprenticeship.
Pfizer is seeking a Data Scientist apprentice who can support the Systems and Process Manager (SPM) function within Global Supply Chain UK.
Qualification Requirements
- 5 GCSEs at grades C/4 or above (or equivalent qualifications) including; minimum grade 5 Mathematics and minimum grade 4 English Language
Plus:
- BBB-BBC at A-Level, with B in Maths. A Statistics qualification in addition would be preferable.(We will not accept A-Levels Citizenship Skills, General Studies, and Critical Thinking). OR;
- Level 4 Data Analyst apprenticeship at Distinction
Salary - £20,500 per annum
Benefits
- Holiday Allowance - 25.5 Days Holiday Allowance, plus Bank Holidays
- Pension - Employee 5%, Employer 3%
- Annual Salary Review
- Casual Dress
- Employee Assistance Programme
- Onsite Parking
- Onsite Canteen
- Onsite Gym
- Employee Recognition/Awards
Location - Tadworth, Surrey
Working Hours
Monday to Thursday, 9am – 5:25pm with 45 minute lunch break.
Fridays, 9am – 4:05pm with 45 minute lunch break
Duration - 42 months
Start Date - 1st September 2024
Interview Date - July / August 2025
Closing Date for Applications - 30th July 2025
Please be aware, this vacancy may close earlier if we receive sufficient applications so we recommend applying at your earliest convenience.
To Apply
To apply, please click the Apply Now button and complete the form. If you are having difficulty in completing this, please contact recruitment on for assistance.
Next Steps
Successful candidates will be progressed to a one way video interview, invites will be sent via email.
The video interview will be reviewed by the Hiring Manager along with your application form to decide who is brought through to the final interview.
Job Description
This role will support the Systems and Process Manager (SPM) function within Global Supply Chain UK. The SPM function, effectively manages, co-ordinates and support all aspects of Supply and Inventory Processes within SAP platform. SPM team is responsible for overseeing and optimizing systems and processes to ensure efficiency and effectiveness across the organization. The role also involves cross functional collaboration with internal and external stakeholders to implement and optimise systems that support the supply chain processes.
As Data Science Apprentice, you will bring digital and data analytics methodologies together with industry best practice to actively support SPM and the broader Supply Chain function within the UK business, aiming to build a digital transformation framework and enhancing data literacy within SPM and Supply Chain teams.
Candidate Requirements
Skills
- Hard-working and ability to manage own time to meet deadlines
- Good team player with ability to interact with others and manage a varied workload
- Hypothesis driven approach to problem solving
- Ability to learn and develop online tools to source, combine, transform and store data
- Good attention to detail and aptitude to both handle and store data
- Ability to summarise and succinctly measure project outputs
- Good report writing and oral communication skills
- Ability to apply learning from prior experience to new situations and problems
- Ability to evaluate information from a broad range of sources
- Communicates with clarity, purpose and efficiently
- Competent with Microsoft Office Suite
- Ability to follow instructions and operate in a controlled environment adhering to procedures for example safety, environment, and risk management
- Knowledge of programming skills e.g. Python (nice to have – not a requirement).
- Effective time management & prioritisation skills.
Personal Qualities
- Enthusiastic attitude and approach to teamwork with positive influencing and listening skills
- High energy level; hard working; makes things happen
- Problem solver with sound judgement when making decisions
- Self-driven and able to set personal goals which are realistic and challenging
- Change agile, flexible and resilient
- Interest and desire to learn about health economics
- Has a curiosity to explore new questions, especially with an analytical mindset
- Interest in data analytics and digital technologies (tech savvy)
- Ability to ask questions when working on an unknown or new package of work
- Motivated to drive your career progression and development
- Curiosity and open to change and flexibility within a work environment
- Ability to listen and take on board the opinion of others whilst also being able to positively influence colleagues
Training To Be Delivered
Qualification to be delivered: BSc (Hons)Data Scientist
Apprenticeship Standard: Data Scientist
Training Provider: Anglia Ruskin
Delivery model: Block release to Anglia RuskinUniversity
Future Prospects
Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.
Things To Be Considered
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 Pfizer
You’re the future. Your ambition, talents, ideas and unique way of looking at the world will help us drive innovation in every part of our business.
Our company purpose – “Breakthroughs that Change Patients’ Lives” – guides our environmental sustainability priorities. We’re passionate about protecting human health. That’s reflected in our environmental sustainability goals: climate action & sustainable medicines.
An Apprenticeship at Pfizer means doing work that helps millions of people worldwide benefit from life-changing treatment. It means working for a company that believes in equity, excellence and protecting your work-life balance.
Our apprenticeship scheme, run in partnership with Cogent Skills, offers the best of both worlds. You’ll work with world-leaders in your field, from researchers to business gurus. You’ll study towards a nationally recognised academic or professional qualification, and you’ll be earning a highly competitive salary!
We need people with a hugely diverse range of talents. Get stuck into an Apprenticeship at Pfizer to launch your career. As a UK Top Employer for the 8th year learn more about what this means for us.
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Data Scientist (SPM) Degree Apprentice - Pfizer employer: NonStop Consulting Ltd
NonStop Consulting is an exceptional employer, offering a remote Supervising Social Worker position that prioritises work-life balance and flexibility. With a supportive team and a low caseload of just 10 foster families, employees can thrive in a nurturing environment while making a meaningful impact on the lives of children with disabilities. The agency's commitment to reducing paperwork through a bespoke system further enhances job satisfaction, making it an ideal place for dedicated professionals in Peterborough.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (SPM) Degree Apprentice - Pfizer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Scientist (SPM) Degree Apprentice - Pfizer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at NonStop Consulting Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NonStop Consulting Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NonStop Consulting Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NonStop Consulting Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
