Lead Specialist, Data Scientist
Lead Specialist, Data Scientist

Lead Specialist, Data Scientist

Full-Time 36000 - 60000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Transform complex data into actionable insights and create prototypes for innovative educational products.
  • Company: Join Pearson, a global leader in lifelong learning and innovation.
  • Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact on education by leveraging cutting-edge technology and data science.
  • Qualifications: Strong data analysis skills, proficiency in Python, and a passion for education.
  • Other info: Collaborative team environment with a focus on continuous learning and innovation.

The predicted salary is between 36000 - 60000 £ per year.

About Pearson
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. Every learning opportunity is a chance for a personal breakthrough. That’s why our ~17,000 employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world’s lifelong learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn’t just what we do - it’s who we are.

About the Innovation Team
The Innovation Team drives transformation by creating new products and services that improve learning outcomes for students, educators, and parents. We combine cutting-edge technology (including AI), Pearson’s unique data and content, and our diverse skillset to deliver deeper insights and personalized learning experiences. Our culture is built on curiosity, collaboration, courage, and a customer-centric approach. We value open-mindedness, teamwork across departments, smart risk-taking, and a relentless focus on solving real customer problems. Experimentation, agility, versatility, and clear communication are at the heart of how we work.

Success for us means rapidly shaping and implementing solutions that address validated customer needs, learning and growing with each project cycle, and delivering measurable impact for Pearson’s business objectives. We are committed to supporting each other, acting with integrity, and keeping learners at the centre of everything we do.

You will be part of a small, growing team (currently 5 people) reporting into the team manager for Innovation, focused on driving innovation in the Assessments & Qualifications area of our business. Your work will primarily involve identifying ways to address customer needs and market demands through new technologies, including AI. We support both General and Vocational qualifications and aim to enhance our teaching and learning product offerings (including Active Hub and Revise Online). The team is a mix of developers, Product/Strategy Managers, a UX/Product Designer, and a Content specialist. This is a unique opportunity to join a collaborative, agile team shaping the future of learning at Pearson.

Role Description
As a Data Scientist at Pearson, you will interpret data to uncover trends and patterns, transforming raw data into actionable insights both for internal stakeholders and to form basis for customer-facing solutions. You will create clear visual representations, such as charts and graphs, and clickable prototypes to communicate findings to stakeholders effectively. Your insights will enable data-driven decision-making that aligns with strategic goals and form the basis of product features that will end up in customers’ hands. You will collaborate with cross-functional teams to ensure analysis drives meaningful business actions and contributes to innovation in learning solutions.

Required Skills & Proficiencies

  • Strong experience in Data Analysis and Data Engineering
  • Proficiency in Machine Learning concepts and techniques, including model evaluation and optimization
  • Advanced Python programming skills
  • Solid understanding of statistical analysis and core statistics
  • Ability to design, train, and evaluate models for real-world scenarios
  • Strong prototyping skills, with the ability to visualize and present models in a way that demonstrates practical value for customers
  • Familiarity with front-end development using a web-app framework such as Dash/Streamlit is desirable
  • Excellent communication, collaboration, and storytelling skills, including the ability to clearly explain how models work and the value they bring to stakeholders
  • Knowledge of or strong interest in Generative AI, including Large Language Models (LLMs) and their applications in education
  • Familiarity with Retrieval-Augmented Generation (RAG) techniques
  • Passion for education, learning, and innovation

The Data Science role within the Innovation team
As a Data Scientist in the Innovation Team, you will transform complex educational data into actionable insights and produce simple prototypes underpinned by trained models that demonstrate how these insights can power customer-facing products. You will analyse patterns in teacher and student performance data, design predictive models, and create interactive prototypes that showcase potential product features. Your work will bridge data science and product innovation, enabling stakeholders to understand and experience the value of data-driven solutions. Collaboration with cross-functional teams and clear communication skills will be key to ensure your prototypes inform strategic decisions and inspire future learning product features.

This role is for someone who...

  • Is keen to continuously improve and learn, able to identify and create real-time, iterative solutions to customer and business problems.
  • Has/is keen to develop knowledge of business and product strategies, bringing digital mindset and data scientist experience to bear in solving challenges and capturing opportunities.
  • Acts as a member of cross-functional teams with minimal guidance and partners closely with internal stakeholders.

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.

Lead Specialist, Data Scientist employer: Pearson

At Pearson, we pride ourselves on being an exceptional employer, fostering a culture of curiosity and collaboration that empowers our employees to drive innovation in education. Our commitment to personal and professional growth is evident through continuous learning opportunities and a supportive environment where every team member's contributions are valued. Located in a dynamic and inclusive setting, our Innovation Team is at the forefront of transforming learning experiences, making this a truly rewarding place to work for those passionate about leveraging data and technology to make a real impact.
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Contact Detail:

Pearson Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Specialist, Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Pearson on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Lead Specialist, Data Scientist role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your data analysis and machine learning skills. Be ready to discuss how you've used these in real-world scenarios. We want to see your passion for education and innovation shine through!

✨Tip Number 3

Showcase your prototyping skills! Bring examples of your work to the interview, especially those that demonstrate how your insights can drive product features. Visuals can help us understand your thought process and the value you bring.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Pearson and contributing to our mission of transforming learning.

We think you need these skills to ace Lead Specialist, Data Scientist

Data Analysis
Data Engineering
Machine Learning
Model Evaluation
Python Programming
Statistical Analysis
Prototyping Skills
Visualisation Skills
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Communication Skills
Collaboration Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your data analysis, machine learning, and Python programming skills, as these are key for us at Pearson.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about education and innovation. Share specific examples of how you've used data to drive decisions or create solutions in previous roles.

Showcase Your Prototyping Skills: Since we value clear communication of insights, include examples of your prototyping work. Whether it's charts, graphs, or interactive models, show us how you can visualise data effectively.

Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently.

How to prepare for a job interview at Pearson

✨Know Your Data Inside Out

As a Lead Specialist, Data Scientist, you’ll need to demonstrate your strong experience in data analysis and engineering. Brush up on your knowledge of statistical analysis and machine learning techniques. Be ready to discuss specific projects where you've transformed raw data into actionable insights.

✨Showcase Your Prototyping Skills

Prepare to present clear visual representations of your work, such as charts and graphs. Bring examples of clickable prototypes that illustrate how your models can provide real value to customers. This will help you communicate your findings effectively to stakeholders.

✨Collaborate and Communicate

Highlight your ability to work within cross-functional teams. Share experiences where your collaboration led to meaningful business actions. Practice explaining complex concepts in simple terms, as this will be crucial for ensuring everyone understands the value of your data-driven solutions.

✨Stay Curious and Innovative

Pearson values curiosity and innovation, so come prepared with ideas on how to leverage generative AI and other technologies in education. Discuss how you continuously improve your skills and adapt to new challenges, showing that you’re not just a data scientist but also a forward-thinking innovator.

Lead Specialist, Data Scientist
Pearson
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  • Lead Specialist, Data Scientist

    Full-Time
    36000 - 60000 £ / year (est.)
  • P

    Pearson

    5000+
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