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For Companies At a Glance
- Tasks: Lead data science projects, design algorithms, and coach junior team members.
- Company: Twinkl Educational Publishing, a leader in educational resources.
- Benefits: Flexible working, 33-38 days annual leave, and learning opportunities.
- Why this job: Make a real impact on education with cutting-edge data solutions.
- Qualifications: Experience in data science, Python, SQL, and machine learning.
- Other info: Inclusive culture with a focus on personal growth and development.
The predicted salary is between 60000 - 80000 £ per year.
Join Twinkl Educational Publishing as a Senior Data Scientist. We are on an exciting journey to redefine how we serve our global teaching community through data. We’re 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’ll 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’s remote, in our Sheffield office, or a mix of both. You’re 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’ll 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?
- Work closely with engineering and product managers to develop and deliver our Search and Recommendations roadmap
- Oversee the design and implementation of the technical work of your team, ensuring high-quality coding, modelling, data transformation and analytics
- Lead on delivering the coding, modelling, data transformation and analytics required, with opportunity to develop new approaches such as applying emerging techniques
- Coach and help develop the more junior members of the team
- Own an area of team operations (e.g., Learning & Development) and contribute to prioritisation of the Data Science roadmap
What do we need from you?
Technical skills
- Built statistical models of real-world processes that help inform business decisions
- Applied machine learning to a variety of problems that generated business value
- Worked on Search and/or Recommendations systems
- Oversaw end-to-end delivery of data science products
- Experienced Python developer
- Experienced user of SQL
- Comfortable using version control (Git)
- AWS experience
Personal
- Enthusiastic, with a growth mindset and a get-things-done attitude
- Comfortable working in a cross-functional team and collaborating with colleagues in design, engineering and product
- Innovator, ready to take responsibility and be accountable for decisions
- Committed to helping others develop and succeed
- Excellent communication, in both speech and writing
Most importantly, you should
- Be curious about how things work and always look 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?
- Friendly, welcoming and supportive culture
- Flexible working with fully remote and hybrid options
- 33 days annual leave per year, pro rata; entitlement increases to 38 days after 2 years
- 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, Westfield Rewards discount and cashback)
- Learning and Development opportunities, including internal mobility across departments
- 4× annual salary death-in-service life assurance
- Enhanced pension after long service
- Enhanced parental and adoption leave after long service
- Quarterly awards to reward and recognise our employees
- Twinkl Subscription
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.
Senior Data Scientist in Sheffield 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 in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Twinkl on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with Python, SQL, and machine learning. We want to see how you can apply these skills to real-world problems!
✨Tip Number 3
Show off your passion for data! During interviews, share examples of projects where you've made a real impact. This will help us see your enthusiasm and how you align with our mission at Twinkl.
✨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 Senior Data Scientist in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with statistical models, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission at Twinkl. Be sure to mention specific experiences that demonstrate your growth mindset and collaborative spirit.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in Python, SQL, and AWS. If you've worked on Search or Recommendations systems, make that clear! We love seeing real-world applications of your expertise, so share those examples.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be part of our journey to redefine how we serve the global teaching community through data. Let’s make an impact together!
How to prepare for a job interview at Twinkl Educational Publishing
✨Know Your Data Science Stuff
Make sure you brush up on your statistical models and machine learning techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in Search and Recommendations systems. This will show that you can bring value to Twinkl's mission.
✨Show Off Your Coding Skills
Since the role requires strong Python and SQL skills, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarity with version control systems like Git will also be a plus!
✨Emphasise Collaboration
Twinkl values teamwork, so be prepared to talk about your experience working in cross-functional teams. Share examples of how you've collaborated with product managers and engineers to deliver successful data science projects. Highlight your communication skills too!
✨Demonstrate Your Growth Mindset
Twinkl is looking for someone with a growth mindset who is eager to learn and innovate. Be ready to discuss how you've taken ownership of your learning and development in the past. Show them you're not just about maintaining the status quo but are excited to drive impact!
