Senior Decision Scientist — Data-Driven Product & AI in Brighton

Senior Decision Scientist — Data-Driven Product & AI in Brighton

Brighton Full-Time 60000 - 80000 £ / year (est.) No working from home possible
MPB

At a Glance

  • Tasks: Transform data into smart commercial decisions and enhance customer experiences.
  • Company: MPB, a forward-thinking company based in Brighton.
  • Benefits: Hybrid work model, professional development, and a supportive team environment.
  • Other info: Join a dynamic team with great opportunities for growth.
  • Why this job: Make a real impact by driving data-driven product features.
  • Qualifications: Strong data analysis skills, SQL experience, and knowledge of data science practices.

The predicted salary is between 60000 - 80000 £ per year.

MPB in Brighton is looking for a Senior Decision Scientist. This role focuses on transforming data into commercial decisions and enhancing customer experiences through data-driven product features.

The ideal candidate will have strong experience in data analysis, SQL, and familiarity with data engineering and data science practices.

The position offers a hybrid work model, with opportunities for professional development and a supportive environment.

Senior Decision Scientist — Data-Driven Product & AI in Brighton employer: MPB

MPB is an exceptional employer located in the vibrant city of Brighton, offering a dynamic work culture that prioritises innovation and collaboration. With a strong focus on professional development, employees are encouraged to grow their skills in data analysis and AI within a supportive hybrid work environment. The company values creativity and provides unique opportunities to make impactful decisions that enhance customer experiences.

MPB

Contact Details:

MPB Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Decision Scientist — Data-Driven Product & AI in Brighton

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at MPB. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your data analysis and decision-making prowess. This will help you stand out during interviews.

Tip Number 3

Practice makes perfect! Brush up on your SQL and data science knowledge. You might get some technical questions, so being sharp will give you an edge.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Senior Decision Scientist — Data-Driven Product & AI in Brighton

Data Analysis
SQL
Data Engineering
Data Science Practices
Commercial Decision-Making
Customer Experience Enhancement
Data-Driven Product Features

Some tips for your application 🫡

Show Off Your Data Skills:Make sure to highlight your experience with data analysis and SQL in your application. We want to see how you've transformed data into actionable insights in your previous roles.

Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Decision Scientist role. We love seeing how your unique experiences align with our needs.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!

How to prepare for a job interview at MPB

Know Your Data Inside Out

Make sure you’re well-versed in data analysis techniques and can discuss your experience with SQL confidently. Prepare examples of how you've transformed data into actionable insights in previous roles, as this will show your ability to make commercial decisions.

Familiarise Yourself with Data Engineering Concepts

Since the role involves data-driven product features, brush up on your knowledge of data engineering practices. Be ready to discuss how you’ve collaborated with data engineers or used data pipelines in your past projects.

Showcase Your Problem-Solving Skills

Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach a data-related problem and be ready to explain your thought process. This will demonstrate your analytical skills and decision-making abilities.

Emphasise Your Adaptability

With a hybrid work model in place, it’s important to show that you can thrive in both remote and in-office settings. Share examples of how you’ve successfully adapted to different work environments and maintained productivity.