At a Glance
- Tasks: Transform complex data into predictive models that drive growth and influence decisions.
- Company: Join a global entertainment leader shaping unforgettable experiences with data and AI.
- Benefits: Enjoy discounts, ongoing training, and an employee assistance programme.
- Other info: Collaborative environment with opportunities for professional development.
- Why this job: Make a real impact by using data science to drive global growth.
- Qualifications: Degree in a related field and experience in data science or analytics.
The predicted salary is between 50000 - 70000 £ per year.
Do you want to shape growth strategy at a global entertainment leader where data, AI and advanced analytics power unforgettable experiences? We’re looking for a Data Scientist who’s passionate about turning complex, large-scale data into predictive models and actionable insights that directly influence commercial decisions and long-term growth.
What You’ll Do as a Data Scientist
- Take ownership of high-impact growth use cases across marketing, pricing and demand forecasting.
- Design, build and deploy predictive models and advanced analytics solutions that unlock new revenue opportunities.
- Work with large, diverse datasets to uncover patterns and trends that inform strategic decision-making.
- Partner with Growth, Strategy and Technology teams to embed scalable data science solutions into operational systems.
- Translate complex technical outputs into clear, compelling insights for senior stakeholders.
- Drive experimentation and optimisation initiatives to improve performance across commercial channels.
- Champion AI and machine learning innovation, staying ahead of industry best practice.
- Promote ethical data use, governance and compliance across all analytics initiatives.
What You Bring as a Data Scientist
- Degree in Computer Science, Mathematics, Engineering or a related field.
- Proven experience in a data science or statistical role.
- Expertise in advanced analytics techniques including machine learning, optimisation and segmentation.
- Strong proficiency in Python, SQL and Spark SQL.
- Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake.
- Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow).
- Experience with data visualisation tools such as Power BI.
- Strong commercial acumen with the ability to translate business problems into scalable analytical solutions.
- Excellent collaboration and stakeholder influencing skills.
- Knowledge of governance, compliance and ethical AI frameworks.
Why You’ll Love It Here
- Employee assistance programme
- Access to Perks at Work with thousands of national & local discounts
- Ongoing training and development opportunities
If you’re ready to use data science to drive global growth and create meaningful business impact, apply now for this Data Scientist role and help power unforgettable experiences through insight and innovation.
Data Scientist employer: Formula.
Formula. is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, we offer opportunities to lead innovative marketing technology projects while working alongside talented professionals in a hybrid environment. Our commitment to agility and excellence ensures that you will thrive in your role as a Marketing Tech Lead, making a meaningful impact on global campaigns.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, predictive models, and any cool insights you've generated. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and machine learning. Be ready to discuss how you've tackled real-world problems using data science techniques.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Tailor your application to highlight how your skills align with our mission of driving growth through data.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for Data:When you write your application, let your enthusiasm for data science shine through! Share specific examples of how you've turned complex data into actionable insights, and why you're excited about the opportunity to shape growth strategies with us.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in machine learning and advanced analytics. We want to see how you can contribute to our team!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. Remember, we’re looking for someone who can translate complex concepts into compelling insights for stakeholders!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Formula.
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning and predictive modelling. Be ready to discuss specific projects you've worked on, the techniques you used, and the impact they had on business decisions.
✨Showcase Your Technical Skills
Since the role requires proficiency in Python, SQL, and Spark SQL, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and NumPy.
✨Translate Tech to Business
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice how you would present your findings from a data analysis project in a way that highlights the business value and strategic insights.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI and machine learning. Be prepared to discuss how you can apply these innovations to the company’s growth strategy and what ethical considerations you think are important in data science.
