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- Tasks: Lead data science projects, design algorithms, and mentor junior team members.
- Company: Twinkl is transforming education through data, focusing on impactful solutions for teachers worldwide.
- Benefits: Enjoy flexible working, 33+ days annual leave, charity days, and health perks.
- Why this job: Join a supportive culture that values learning, innovation, and real-world impact.
- Qualifications: Experience in statistical modelling, machine learning, Python, SQL, and AWS required.
- Other info: Diversity and inclusion are core values; adjustments during the application process are supported.
The predicted salary is between 48000 - 72000 £ per year.
Location: Fully flexible - remote, hybrid or office-based
Contract: Permanent
Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We are building a world-class data science function to power the next generation of our data platform, with modern tools and practices at our core.
Data Science Team
You will have the opportunity to work in a high functioning data product function, learning from experienced data scientists and engineers and using a modern data stack. We offer the freedom to work in whatever way suits you best - whether that is remote, in our Sheffield office, or a mix of both. You are encouraged to design algorithmic solutions, take ownership of software design, and develop your skills across the full data science stack. With our focus on impact, you will be part of a team that values pragmatic solutions and continuous learning, working on projects that make a real difference to educators worldwide.
- We embrace modern data engineering practices and tools
- We champion learning and development
- We believe in empowering engineers to drive technical decisions
- We focus on impact and outcomes over process
What will you be doing?
As our Senior Data Scientist, you will:
- Work closely with engineering and product managers to develop and deliver our Search and Recommendations roadmap.
- Oversee the design and implementation of technical work of your team, and ensure high quality coding, modelling, data transformation and analytics is maintained.
- Lead on delivering the coding, modelling, data transformation and analytics required, with opportunity to develop e.g. applying new approaches.
- Coach and help to develop the more junior members of the team.
- Own an area of team operations e.g. Learning & Development, and contribute to the prioritisation of the Data Science roadmap.
What do we need from you?
You should have:
- Technical skills: You have built statistical models of real-world processes that help inform business decisions. You have applied machine learning to a variety of problems that generated business value. You have worked on Search and/or Recommendations systems. You have overseen the end-to-end delivery of data science products. You are an experienced Python developer. You are an experienced user of SQL. You are comfortable using version control (Git). AWS experience.
- Personal: You are enthusiastic; and have a growth mindset and a get things done attitude. You are comfortable working in a cross functional team and collaborating with colleagues in design, engineering and product. You are an innovator. You are happy to take responsibility and be accountable for your decisions. You want to help others around you develop and succeed. You communicate well, in both speech and writing.
Most importantly, you should:
- Be curious about how things work and always looking to learn more.
- Care about building models that are used by real people to deliver the right content for them.
- Understand that sometimes "boring" technology and algorithms are the right choice.
- Want to work somewhere where you can have real impact, not just maintain the status quo.
What’s in it for you?
- A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process.
- Flexible working with fully remote and hybrid working options.
- 33 days annual leave per year, pro rata. You decide which public holidays to recognise. After 2 years of employment, your annual leave entitlement will accrue year on year up to 38 days annual leave.
- An additional day of annual leave, a Me Day, to take time for yourself.
- Charity day to volunteer and support a registered charity of your choice.
- Westfield Health (including Health Club discount and Westfield Rewards discount and cashback).
- Learning and Development opportunities, with opportunities for internal mobility across various departments / areas of the business.
- 4 x annual salary death in service life assurance.
- Enhanced parental and adoption leave after long service.
- Quarterly awards designed to reward and recognise our wonderful Twinkl employees.
- Twinkl Subscription.
At Twinkl, we encourage diversity, and our doors are open to everyone. We are 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 are here to support you on your journey.
Senior Data Scientist employer: Twinkl Educational Publishing
Contact Detail:
Twinkl Educational Publishing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in search and recommendation systems. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Python and SQL by preparing examples of past projects where you applied these skills. Be ready to discuss how you used them to solve real-world problems, as this is crucial for the Senior Data Scientist position.
✨Tip Number 3
Highlight your ability to work collaboratively in cross-functional teams. Prepare anecdotes that demonstrate your communication skills and how you've successfully partnered with engineers and product managers in previous roles.
✨Tip Number 4
Emphasise your growth mindset and enthusiasm for continuous learning. Be prepared to discuss how you've taken initiative in your career to learn new technologies or methodologies, as this aligns with Twinkl's values.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on statistical models, machine learning, and any work with Search and Recommendations systems. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your growth mindset and collaborative spirit align with Twinkl's values. Mention specific projects or experiences that showcase your ability to deliver impactful data solutions.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and AWS in your application. Provide examples of how you've used these skills in previous roles to solve real-world problems and generate business value.
Demonstrate Your Curiosity: In your application, convey your curiosity about data science and your commitment to continuous learning. Share instances where you've taken the initiative to learn new technologies or methodologies that have positively impacted your work.
How to prepare for a job interview at Twinkl Educational Publishing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical models, machine learning, and data transformation. Highlight specific projects where you've applied these skills, especially in Search and Recommendations systems.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with engineering and product managers, share examples of how you've successfully collaborated in cross-functional teams. Emphasise your ability to communicate effectively and support team members.
✨Emphasise Your Growth Mindset
Twinkl values a growth mindset, so be ready to talk about how you approach learning and development. Discuss any recent skills you've acquired or challenges you've overcome, showing your enthusiasm for continuous improvement.
✨Prepare Questions About Impact
The company focuses on making a real difference through data. Prepare thoughtful questions about how your role can contribute to their mission and the impact of the projects you'll be involved in. This shows your genuine interest in the position.
