DATA SCIENTIST (PREDICTIVE ANALYTICS SPECIALIST)

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 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.

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.

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 Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All 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 strive for a workforce that reflects the diversity of our communities.
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 TalentExperienceGlobalTeam@grp.pearson.com.
Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
Job: TECHNOLOGY
Organization: Assessment & Qualifications
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 18809

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.