Data Scientist (Predictive Analytics Specialist)

ZipRecruiter; Manchester; Hybrid; GBP 50,000; Full time

Job description

Job Description

This job is with Pearson, an inclusive employer and a member of myGwork – the largest global platform for the + business community. Please do not contact the recruiter directly.

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 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 skill, millions of people around the world trust Pearson products and services to help them realise the life they imagine through learning.

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: 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.
• 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:

• Experience in developing and implementing predictive models to forecast key metrics such as sales performance, customer behaviour, and operational efficiency.
• Preference for 'R' programming but other machine learning tools are also acceptable.
• Ability to analyse complex datasets to uncover patterns, trends, and correlations that inform business strategies.
• Experience in using advanced analytics to identify opportunities for improving operational processes, resource allocation, and cost efficiency.
• Ability to provide data-driven recommendations to support commercial initiatives, including pricing strategies, market segmentation, and demand forecasting.
• Ability to work under pressure and manage time effectively.
• Strong problem-solving skills with a methodical approach to tasks.
• Adaptable and flexible approach with the ability 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 salary
• 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 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, color, national origin, gender, gender identity, sexual orientation, disability, protected veteran 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 [e-mail].

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