At a Glance
- Tasks: Transform complex data into predictive models that drive growth and influence decisions.
- Company: Join a global entertainment leader where data and AI create unforgettable experiences.
- Benefits: Enjoy a competitive salary, hybrid work, pension scheme, and ongoing training.
- Other info: Collaborative environment with opportunities for professional development and ethical data practices.
- Why this job: Make a real impact by shaping growth strategies with cutting-edge data science.
- Qualifications: Degree in a related field and proven experience in data science required.
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 & life assurance
- 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.
Senior Data Scientist employer: Formula.
Join a global entertainment leader in London, where as a Senior Data Scientist, you'll thrive in a dynamic hybrid work environment that fosters innovation and collaboration. With a competitive salary, comprehensive benefits, and a strong focus on employee development, you'll have the opportunity to shape growth strategies while working with cutting-edge data technologies. Embrace a culture that champions ethical data use and encourages continuous learning, making it an ideal place for those passionate about driving impactful change through data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data science roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. Use platforms like GitHub to share your code and visualisations, making it easy for hiring managers to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role. Practice explaining complex concepts in simple terms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
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, machine learning, 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 Projects:If you've worked on interesting data science projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and how you’ve tackled real-world problems.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Formula.
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python, SQL, and machine learning techniques. Be ready to discuss specific projects where you've turned complex data into actionable insights, as this will show your practical experience.
✨Understand the Business Impact
Familiarise yourself with how data science drives growth in the entertainment industry. Think about how your work can influence marketing strategies or pricing decisions, and be prepared to share examples of how you've done this in the past.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when building predictive models or working with large datasets. Being able to articulate your approach clearly will impress the interviewers.
✨Showcase Your Collaboration Skills
Since you'll be partnering with various teams, highlight your collaboration and stakeholder influencing skills. Share examples of how you've worked with cross-functional teams to implement data solutions, as this is crucial for the role.
