At a Glance
- Tasks: Shape growth strategy using data, AI, and analytics to drive impactful decisions.
- Company: Join a global entertainment leader focused on innovation and unforgettable experiences.
- Benefits: Enjoy a competitive salary, hybrid work model, and private pension scheme.
- Other info: Collaborative environment with opportunities for professional growth and ethical data practices.
- Why this job: Make a real impact by turning complex data into actionable insights for growth.
- Qualifications: Degree in relevant field and proven experience in data science with strong technical skills.
The predicted salary is between 75000 - 75000 £ per year.
Location: London
Hybrid – 2/3 days a week
Salary: Up to £75,000 + benefits
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
- Competitive Salary
- Hybrid working model
- Private pension scheme
Senior Data Scientist employer: Formula.
Join a global entertainment leader in London as a Senior Data Scientist, where you'll have the opportunity to shape growth strategies through innovative data solutions. Enjoy a vibrant work culture that promotes collaboration and creativity, alongside competitive salaries and a hybrid working model that supports work-life balance. With a strong focus on employee development and ethical data practices, this role offers a unique chance to make a significant impact while advancing your career in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving predictive models and advanced analytics. This will give potential employers a taste of what you can do and how you can add value.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past experiences. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who want to shape growth strategies with us. Make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with predictive models, advanced analytics, and any relevant tools like Python and SQL. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our growth strategy. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Make sure to list your experience with machine learning, data visualisation tools, and any distributed computing tools you've used. We love seeing candidates who are up-to-date with industry best practices.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 coding challenges beforehand to feel confident during the interview.
✨Translate Tech to Business
Remember, it’s not just about the numbers! Be prepared to explain how your technical outputs can drive commercial decisions. Use examples from your past experience where you turned complex data into actionable insights for stakeholders.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI and machine learning. Companies love candidates who are passionate about innovation, so be ready to discuss how you stay updated and how you can bring fresh ideas to their team.
