Lead Specialist, Data Scientist in Oxford
Lead Specialist, Data Scientist

Lead Specialist, Data Scientist in Oxford

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

  • Tasks: Transform data into actionable insights and create prototypes for innovative learning solutions.
  • 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 skills in data analysis, machine learning, and Python programming required.
  • Other info: Be part of a dynamic team focused on shaping the future of learning.

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

12-month fixed-term contract

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.

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.

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 TalentExperienceGlobalTeam@grp.pearson.com.

Lead Specialist, Data Scientist in Oxford employer: Pearson

At Pearson, we pride ourselves on being an exceptional employer, fostering a culture of curiosity, collaboration, and innovation. Our commitment to employee growth is evident through our supportive environment that encourages continuous learning and experimentation, particularly within our dynamic Innovation Team. Located in a vibrant setting, we offer unique opportunities to work with cutting-edge technology, including AI, while making a meaningful impact on education worldwide.
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Contact Detail:

Pearson Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects and prototypes. This gives potential employers a taste of what you can do and how you think.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data science. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

✨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 genuinely interested in joining our team.

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

Data Analysis
Data Engineering
Machine Learning
Model Evaluation
Python Programming
Statistical Analysis
Prototyping Skills
Visualisation Skills
Communication Skills
Collaboration Skills
Generative AI Knowledge
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Passion for Education
Innovation Mindset

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Specialist, Data Scientist role. Highlight your experience in data analysis, machine learning, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!

Showcase Your Communication Skills: Since you'll be collaborating with cross-functional teams, it's crucial to demonstrate your ability to communicate complex data insights clearly. Use examples from your past experiences where you've successfully conveyed technical information to non-technical stakeholders.

Highlight Your Passion for Education: We love candidates who are passionate about education and innovation! Share any relevant experiences or projects that reflect your commitment to improving learning outcomes. This will help us see how you align with our mission at Pearson.

Apply Through Our Website: Don't forget to submit your application through our official website! This ensures that your application is processed correctly and gives you the best chance of being considered for the role. We can't wait to see what you bring to the table!

How to prepare for a job interview at Pearson

✨Know Your Data Inside Out

Make sure you’re well-versed in data analysis and engineering concepts. Brush up on your machine learning techniques, especially model evaluation and optimisation. Be ready to discuss how you've applied these skills in real-world scenarios.

✨Visualisation is Key

Prepare to showcase your ability to create clear visual representations of data. Bring examples of charts, graphs, or prototypes that demonstrate your insights. This will help you communicate your findings effectively to stakeholders.

✨Collaboration is Crucial

Highlight your experience working in cross-functional teams. Be prepared to discuss how you’ve collaborated with product managers, designers, and other stakeholders to drive innovation. Show them you can work well with others to achieve common goals.

✨Stay Curious and Passionate

Express your enthusiasm for education and learning. Share any personal projects or interests related to generative AI or educational technology. This will show your commitment to the field and your eagerness to contribute to Pearson's mission.

Lead Specialist, Data Scientist in Oxford
Pearson
Location: Oxford
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  • Lead Specialist, Data Scientist in Oxford

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

    Pearson

    5000+
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