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- Tasks: Analyse behavioural data and create impactful insights to improve workflows.
- Company: A growing consultancy in Greater London with a supportive work culture.
- Benefits: Cycle-to-work scheme, gym membership discounts, and a collaborative environment.
- Why this job: Blend data science with behavioural insights to create meaningful human-centric solutions.
- Qualifications: 2-5 years in data science with strong skills in Python and SQL.
- Other info: Collaborate with behavioural scientists on diverse analytical projects.
The predicted salary is between 36000 - 60000 £ per year.
A growing consultancy in Greater London seeks a Data Scientist to analyze behavioral data, create impactful insights, and improve workflows. The role requires 2-5 years in data science with strong skills in Python and SQL. You will collaborate with behavioral scientists and deliver analytical projects for various industries. The position offers a unique opportunity to blend data science with behavioral insights and contribute to meaningful human-centric solutions.
Benefits include:
- Cycle-to-work scheme
- Gym membership discounts
- Supportive work culture
Data Scientist - Behavioural Intelligence & AI Insights employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Behavioural Intelligence & AI Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those working in behavioural intelligence. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. Highlight any work that involves behavioural data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of behavioural insights. Practice common data science interview questions and be ready to discuss how your work can contribute to human-centric solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Scientist - Behavioural Intelligence & AI Insights
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 projects, so don’t hold back on the details!
Connect the Dots: When you describe your past work, try to link it to behavioural data analysis. We’re looking for candidates who can demonstrate how their insights have made a difference, so share those impactful stories!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our job description. We love seeing candidates who understand what we do and how they fit into our mission.
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 this exciting opportunity in our growing team!
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 tools to analyse behavioural data. Having concrete examples will show that you can deliver impactful insights.
✨Understand Behavioural Insights
Since this role blends data science with behavioural insights, take some time to research how data can influence human behaviour. Be prepared to discuss how your analytical work can lead to meaningful solutions in various industries.
✨Show Your Collaborative Spirit
This position involves working closely with behavioural scientists, so highlight any past experiences where you've collaborated with others. Share examples of how teamwork has led to successful project outcomes, as this will demonstrate your ability to fit into their supportive work culture.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s approach to data science and behavioural analysis. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Plus, it gives you a chance to assess if the company is the right fit for you!
