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.
- Other info: Inclusive culture with a focus on personal growth and development.
- Why this job: Make a real impact on education with cutting-edge data solutions.
- Qualifications: Experience in data science, Python, SQL, and machine learning.
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
Twinkl Educational Publishing is an exceptional employer that prioritises employee well-being and professional growth. With a vibrant work culture that fosters creativity and collaboration, employees enjoy generous benefits such as 33 days of paid time off and enhanced parental leave, making it an ideal place for those seeking meaningful and rewarding careers in the educational sector across Latin America and Spain.
Contact Details:
Twinkl Educational Publishing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Sheffield
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We think you need these skills to ace Senior Data Scientist in Sheffield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Twinkl Educational Publishing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Twinkl Educational Publishing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Twinkl Educational Publishing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Twinkl Educational Publishing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
