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- Tasks: Analyse complex datasets and develop machine learning models to uncover consumer insights.
- Company: Leading consultancy firm in London with a vibrant team culture.
- Benefits: Support for personal development and a dynamic work environment.
- Why this job: Turn data into human insight and make a real impact on client strategies.
- Qualifications: 2-5 years of experience in data science, strong skills in Python and SQL.
- Other info: Join a collaborative team at the forefront of behavioural science.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy firm in London is seeking a Data Scientist to work at the intersection of data science and behavioral science. In this full-time role, you will analyse complex datasets, develop machine learning models, and create impactful insights to help clients understand consumer behaviour.
Ideal candidates possess 2-5 years of relevant experience and strong skills in Python and SQL. Benefits include support for personal development and a vibrant team culture.
Behavioural Data Scientist — Turn Data into Human Insight in England employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Behavioural Data Scientist — Turn Data into Human Insight in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the behavioural data science field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for behavioural interviews! Think of examples from your past experiences that demonstrate your problem-solving skills and how you've turned data into actionable insights. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Behavioural Data Scientist — Turn Data into Human Insight in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Connect the Dots: When writing about your past experiences, link them to the role of a Behavioural Data Scientist. Explain how your work has helped understand consumer behaviour or influenced decision-making.
Be Authentic: Let your personality shine through in your application. We’re looking for someone who fits into our vibrant team culture, so don’t be afraid to show us who you are!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Nicholson Glover
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages to analyse data or develop models. Showing that you can turn complex datasets into actionable insights will impress them!
✨Understand Consumer Behaviour
Since this role is all about turning data into human insight, take some time to research behavioural science concepts. Think about how consumer behaviour impacts data analysis and be prepared to share examples of how you've applied this in your previous work.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when solving data-related problems. You might even want to do a mock interview with a friend to get comfortable discussing your approach to machine learning models.
✨Show Your Team Spirit
This consultancy values a vibrant team culture, so be ready to talk about your experiences working in teams. Share examples of how you've collaborated with others to achieve a common goal, and highlight any personal development initiatives you've taken to grow within a team setting.
