Growth Data Scientist — AI & Analytics for Revenue in London

Growth Data Scientist — AI & Analytics for Revenue in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Formula.

At a Glance

  • Tasks: Shape growth strategies using predictive models and complex data insights.
  • Company: Leading global entertainment company with a focus on innovation.
  • Benefits: Employee assistance programme, ongoing development opportunities, and hybrid work model.
  • Other info: Join a dynamic team with exciting career growth potential.
  • Why this job: Make an impact in the entertainment industry with your data science skills.
  • Qualifications: Degree in a related field and strong data science, machine learning, and analytics skills.

The predicted salary is between 50000 - 70000 £ per year.

Formula. is looking for a Data Scientist in London with a hybrid work model. In this role, you will shape growth strategies at a leading global entertainment company by creating predictive models and deriving actionable insights from complex data.

The ideal candidate should possess a degree in a related field and strong skills in data science, machine learning, and analytics.

Benefits include an employee assistance program and ongoing development opportunities.

Growth Data Scientist — AI & Analytics for Revenue in London employer: Formula.

At Formula., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through our comprehensive development programmes and supportive environment, ensuring that you can thrive while shaping impactful growth strategies in the entertainment industry. With a hybrid work model and benefits like an employee assistance programme, we provide a rewarding and flexible workplace for those looking to make a meaningful impact.

Formula.

Contact Details:

Formula. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Growth Data Scientist — AI & Analytics for Revenue in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect 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, especially those involving predictive models and analytics. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this role.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Growth Data Scientist — AI & Analytics for Revenue in London

Data Science
Machine Learning
Analytics
Predictive Modelling
Data Analysis
Statistical Analysis
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your skills in data science, machine learning, and analytics. We want to see how your experience aligns with the role of Growth Data Scientist, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how you can contribute to shaping growth strategies. We love seeing enthusiasm and a clear understanding of our company’s goals.

Showcase Your Analytical Skills:In your application, include examples of how you've used data to drive decisions or create predictive models. We’re looking for candidates who can derive actionable insights from complex data, so let us see your analytical prowess!

Apply Through Our Website:We encourage you to apply directly 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 keen on joining our team at StudySmarter!

How to prepare for a job interview at Formula.

Know Your Data Science Fundamentals

Brush up on your data science concepts, especially those related to predictive modelling and machine learning. Be ready to discuss how you've applied these skills in past projects, as this will show your practical understanding of the role.

Showcase Your Analytical Skills

Prepare to share specific examples of how you've derived actionable insights from complex data sets. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easier for the interviewers to follow your thought process.

Understand the Company’s Growth Strategies

Research Formula's current growth strategies and think about how your skills can contribute. Being able to discuss their recent projects or initiatives will demonstrate your genuine interest in the company and the role.

Ask Insightful Questions

Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about the tools they use for analytics or how they measure the success of their growth strategies. This shows you're not just interested in the job, but also in how you can make a meaningful impact.