Twinkl is hiring a

Data Scientist

Job Overview

  • Posted 1 month ago
  • Full Time
  • Sheffield, UK
  • 124000

Roles & Responsibilities

As a Data Scientist, you’re not just crunching numbers – you’re influencing the educational landscape. Our work ranges from ensuring the entire business has the data they need to make data-driven decisions.

Some recent examples include:

Maximising payment authentication rates for seamless user experiences
Enhancing search engine logic through machine learning for an optimised search experience
Implementing collaborative-filtering approaches for personalised resource recommendations
Statistical modelling and forecasting to meet user needs effectively
Developing real-time data pipelines to address gaps in our product offering
Optimising customer experiences through data-driven insights
Visit our Data Science Blog or our Medium page to find out more

In this early phase of our exciting journey, data will be the guiding force shaping the future. The Data Team at Twinkl will play a pivotal role in driving innovation, and your expertise in Python, SQL, and data analysis tools will be key.

Collaborate with senior leaders, contribute to in-house training sessions, and work alongside cross-functional teams to integrate data-led solutions into our products and services.

Your role will not only involve deriving actionable insights but actively contributing to a cultural shift where decisions are powered by data.

But that’s not all! Here at Twinkl, you’ll also:

– Lead the way with ownership, innovation, and a passion for making a difference.

– Go above and beyond, putting people first and exceeding expectations.

– Do the right thing, always, with trust, understanding, and transparency as your guiding lights.

– Be lovely – positivity, humility, and inclusivity are our superpowers!

What you can expect from us:
– An environment that is supportive, and encourages innovation: Grow your expertise and explore new data science techniques and concepts!

Support for Growth and Development: Access in-house training sessions, covering key technical and soft skills

Collaboration and Encouragement as part of a team: Be part of Data Team Friday; a weekly data team get together to support learning and collaboration


We look for the following experience. But when we’re hiring for this role, if you don’t have some of the experience listed below, don’t let that stop you from applying!

We know one size doesn’t fit all, and we’ll regularly review your role to help align with your particular passion, experience and professional goals as you grow.

Passion for Twinkl’s mission, education, and data science
Experience as a Data Scientist with a track record of adding value
Proficient in Python and SQL
Familiarity with data analysis and visualisation tools such as Tableau, pandas, or matplotlib
Quick learner with the ability to acquire and apply new skills independently
Excellent presentation skills
Ability to work independently and thrive in a collaborative team environment
Strong analytical mindset, problem-solving, and critical thinking abilities
Join us at the start of this exciting journey, where your contributions will shape the future of education through data-driven innovation.


In return for everything you can bring, we can offer you an exciting role in a fast-growing and dynamic business, with plenty of career opportunities.

From day 1 – Westfield Health, 29 annual leave days per year plus up to four additional days that may be awarded each year by the company, flexible working policy with opportunities to work from home, Twinkl subscription
After probation – company sick pay and cycle to work scheme
Long term service rewards – Life insurance, enhanced pension contribution, enhanced maternity pay, enhanced adoption pay and enhanced paternity pay.

Here are a couple of the things that make Twinkl a great place to be:
A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process
Diversity, inclusion and belonging – our Employee Network Program includes working groups for LGBTQ+, People of Colour, Disabilities (visible and invisible), Women in Tech and Working Parents.

Skills Required

  • Machine Learning
  • Python

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