Data Scientist
Sheffield, England, United Kingdom
Applications have closed
- At Twinkl, we encourage diversity, and our doors are open to everyone. We're committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know. We're here to support you on your journey.
- We understand that great ideas aren't confined to an office. That's why we embrace a remote-friendly culture, giving you the flexibility to choose where you work best. Whether it's from our amazing HQ in Sheffield, mainly remote or something in-between, believe that your best work happens when you have the freedom to create your ideal workspace.
Data Scientist
- Salary: £30-50,000
- Location: UK - Remote/Hybrid/Sheffield HQ
Twinkl is embarking on an exciting journey, and we're at the beginning of something extraordinary. As we reshape the future of educational resources, data-driven decisions will be at the heart of our transformation. Join our team of over 20 data enthusiasts and contribute to shaping what the future of learning looks like!
Why You'll Love This Role:
- Endless Opportunities: We offer clear pathways for your growth and development within an environment that encourages learning and improvement.
- Varied & Impactful Work: From reviewing workflow management systems to selecting new software, your role will be both diverse and exciting.
- Innovation is Encouraged: We welcome fresh perspectives and proactive thinkers who challenge the status quo to drive meaningful change.
- Cultural Offering: Join a vibrant, collaborative, and forward-thinking team dedicated to making a difference in the world of education.
We are a high-spirited, conscientious team that celebrates inclusivity and where work is rewarding and fun!
Your Role:
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
Requirements
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.
Benefits
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data pipelines Machine Learning Matplotlib Pandas Pipelines Python SQL Statistics Tableau
Perks/benefits: Career development Flex hours Health care Parental leave Startup environment Transparency
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