Data Scientist (Predictive Analytics Specialist)

Pearson

Pearson, a leader in lifelong learning, seeks a Data Scientist (Predictive Analytics Specialist) to advance their predictive analytics capabilities. The role involves partnering with cross-functional teams to drive insights and optimize operations as part of the UK Assessment & Qualifications division, which oversees a large volume of examination results and is undergoing a digital transformation.

In this role you can expect to have the responsibilities:

• Develop and implement predictive models to forecast sales and customer behavior.
• Analyze complex datasets to inform strategies and uncover trends.
• Enhance operational processes and resource allocation through advanced analytics.
• Provide data-driven recommendations for commercial strategies like pricing and market segmentation.
• Create data visualizations and reports for stakeholder communication.
• Collaborate with various teams to address business challenges and deliver insights.
• Monitor, validate, and refine predictive models to ensure continual accuracy.

This role comes with the following benefits:

• 25 Days annual leave, increasing with tenure.
• Annual Bonus.
• Private pension plan with up to 16% contribution.
• Life, medical, and dental insurance options.
• Stock/share purchase opportunities.
• Family care leave and flexible working policies.
• Employee wellbeing program.
• Cycle to work scheme and retail discounts.

This role requires you to have:

• Experience in developing predictive models and analyzing complex datasets.
• Proficiency in R programming or other machine learning tools.
• Strong problem-solving skills and ability to manage time under pressure.
• Adaptability and flexibility in workload management.

You would benefit from having:

• Preference for using R programming.
• Experience with commercial insights and advanced analytics.

Pearson is committed to diversity and inclusion in the workplace, offering equal employment opportunities regardless of various factors. They participate in E-Verify and ensure all employment decisions are based on qualifications and merit.