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 in Slough 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 competitive salaries, a robust private pension scheme, and ongoing training opportunities, we empower our employees to grow and excel while shaping the future of data-driven decision-making. Experience a culture that champions ethical data use and offers access to exclusive discounts, making it an exceptional place to build a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's predictive models or data visualisations, having tangible examples of your work can really impress potential employers. Don’t forget to share it on platforms like GitHub!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in machine learning and analytics. Practice explaining your thought process clearly, as communication is key when working with stakeholders.
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It shows your enthusiasm and gives us a better chance to see your application. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist in Slough
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! Clearly outline your experience with machine learning, data visualisation tools, and any cloud platforms you've worked with. 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 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 designing 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.
