Data Scientist (Predictive Analytics Specialist) Pearson Manchester, England, United Kingdom
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Data Scientist (Predictive Analytics Specialist) Pearson Manchester, England, United Kingdom
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Location: Hybrid working, minimum 2 days in the Manchester (Salford Quays) Office
Reports to: Head of Data
Salary : £50K, plus target bonus of 8%
About Pearson:
Learning is no longer just a stage of life but a lifelong journey.
In an era where AI is moving at breathtaking pace and where there is huge demand for new talent, with new skills, the world needs learning more than ever before.
Whether it’s upskilling in the workplace, developing a team, getting ahead in school, making the grade at university, or learning a new language, millions of people around the world trust Pearson products and services to help them realise the life they imagine through learning.
We hold learners, educators, and enterprises at the heart of our thinking. Our five interconnected business divisions work together to meet people’s evolving learning needs. We’re proud to be a trusted partner in the moments that matter throughout their lives.
About UK Assessment & Qualifications
We are responsible for the delivery of nearly 4 million examination results per annum, including A-Level, GCSE, BTEC and T-levels for students in UK and International centres. Our in-house systems process every learner from registration to marking and certification, in a highly regulated business. We currently operate a hybrid estate of predominantly bespoke systems, with an ongoing strategic transformation programme to migrate from on-prem to cloud based, cost effective, scalable and resilient services.
About The Role
We are seeking a talented Data Scientist to drive our predictive analytics capabilities across commercial and operational processes. The successful candidate will apply advanced analytical techniques to forecast trends, optimise performance, and inform strategic decisions. This role will work closely with cross-functional teams to enhance data-driven decision-making and contribute to the continuous improvement of our operations.
Key Responsibilities
Predictive Modelling: Develop and implement predictive models to forecast key metrics such as sales performance, customer and learner behaviour, and operational efficiency.
Data Analysis & Insight Generation: Analyse complex datasets to uncover patterns, trends, and correlations that inform business strategies.
Operational Optimisation: Use advanced analytics to identify opportunities for improving operational processes, resource allocation, and cost efficiency.
Commercial Insights: Provide data-driven recommendations to support commercial initiatives, including pricing strategies, market segmentation, and demand forecasting.
Data Visualisation & Reporting: Create clear and insightful visualisations and reports to communicate findings and predictions to stakeholders, including good presentation skills.
Collaboration: Work closely with commercial, operational, and technical teams to understand business challenges and deliver actionable insights.
Model Evaluation & Maintenance: Continuously monitor, validate, and refine predictive models to ensure accuracy and relevance.
Essential Skills & Experience
Develop and implement predictive models to forecast key metrics such as sales performance, customer behaviour, and operational efficiency.
Preference for ‘R’ programming language but other machine learning languages/tools also acceptable.
Analyse complex datasets to uncover patterns, trends, and correlations that inform business strategies.
Use advanced analytics to identify opportunities for improving operational processes, resource allocation, and cost efficiency.
Provide data-driven recommendations to support commercial initiatives, including pricing strategies, market segmentation, and demand forecasting.
Ability to work under pressure and to tight deadlines and manage own time effectively.
Ability to solve problems using initiative and a methodical approach to tasks.
Adaptable and flexible approach and able to prioritise workloads.
Ability to collate and analyse information from various sources.
Job Location and Hours
The role is aligned to our office in Salford Quays on a 2 day hybrid basis, working a 37.5 hour week.
We work a 37.5 hour week, with all our team free to flex their day around our core hours, which are Monday to Friday, 10 to 4 GMT/BST. School runs, etc can be accommodated. Other flexible working patterns can be considered, including part-time working and non-traditional hours. As we regularly work with global teams, particularly in India and the US, there may be the occasional need to accommodate meetings outside of core hours.
Your Benefits And Rewards
Here at Pearson we offer a range of benefits, which include:
25 Days annual leave (increasing by 1 day with every year of continuous service up to 30 days); annual leave trading, +/- 5 days
Annual Bonus
Private Pension plan scheme where we pay in double what you contribute, up to 16% depending on your age
Life, private medical and dental care insurance options, plus free eye tests
Stock/share purchase options
Maternity, paternity, and family care leave as well as flexible working policies
An employee wellbeing assistance programme
Cycle to work program, volunteering days, gym membership concessions in selected office locations, along with retail and leisure discounts
Who We Are
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing .
Job: TECHNOLOGY
Organization: Assessment & Qualifications
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 18809
Seniority level Seniority level Entry level
Employment type Employment type Part-time
Job function Job function Engineering and Information Technology
Industries Education
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