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- Tasks: Analyse data to uncover human behaviour insights and create impactful recommendations.
- Company: A leading consultancy blending behavioural science with data analytics.
- Benefits: Season ticket loan, gym discounts, health cover, and a vibrant office culture.
- Why this job: Make a real-world impact by solving complex, human-centred problems.
- Qualifications: 2-5 years in data science, strong Python and SQL skills, and a curiosity for human behaviour.
- Other info: Join a dynamic team focused on continuous learning and innovative solutions.
The predicted salary is between 28800 - 48000 £ per year.
A growing consultancy at the forefront of behavioural science and human-centred design is expanding its Behavioural Intelligence capability — blending data science, behavioural analytics, experimentation and AI. We’re looking for a curious, commercially minded Data Scientist who enjoys solving complex problems, finding behavioural patterns in data, and turning insights into simple, powerful stories.
You’ll work alongside behavioural scientists, researchers and consultants to deliver analytical projects for major clients across industries such as finance, retail, energy and utilities. It’s the ideal next step for someone with solid technical foundations who wants to broaden into consulting, experimentation, behavioural analytics and insight-led storytelling.
What You'll Do
- Analyse Behavioural & Customer Data: Work with varied datasets (implicit response data, transactions, qualitative transcripts). Build clustering, segmentation, predictive and ML models to explain and forecast behaviour. Support experimental design, hypothesis testing and behavioural measurement.
- Create Impactful Insights: Translate analytical findings into clear, behavioural and commercially grounded recommendations. Present insights to non-technical stakeholders and support consultants on client programmes.
- Improve Tools & Workflows: Contribute to reproducible code, documentation and internal data practices. Support automation, pipeline development and embedding analytics into client solutions.
- Work Across Disciplines: Partner with behavioural scientists, designers and strategists to combine data with human insight. Help develop the consultancy’s Behavioural Intelligence toolkit and AI-enabled ways of working.
What You Bring
- Around 2–5 years of experience in data science or applied analytics.
- Strong skills in Python and SQL (R a bonus).
- Experience with machine learning techniques (clustering, regression, NLP, ensemble methods).
- Good grounding in statistics (hypothesis testing, regression, experimental design basics).
- Ability to distil complex technical results into simple, engaging narratives.
- Curiosity about human behaviour and decision-making.
- Experience running end-to-end analytics projects.
- Nice to have: Cloud experience (Azure, AWS or GCP). NLP / text analytics. Exposure to A/B testing. Understanding of behavioural science principles.
Why This Role Stands Out
- Work at the intersection of data science and behavioural science — a rare and exciting blend.
- Solve meaningful, human-centred problems with real-world impact.
- Grow in a multidisciplinary environment that mixes behavioural research, consulting and AI.
- Join a culture that values curiosity, experimentation, rigour and continuous learning.
Benefits include: season ticket loan, cycle-to-work scheme, discounted gym membership, health screening & dental cover, EAP, free annual eye test, a well-stocked office kitchen and regular team socials. If you want to grow into a more consultative, behavioural and experimental Data Scientist — this is the role. Please apply!
Data Scientist in City of London employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those that highlight your ability to analyse behavioural data and tell compelling stories. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of behavioural science principles. Be ready to discuss how you've used analytics to solve real-world problems and how you can bring that expertise to the consultancy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! We want to see how you think about human behaviour and decision-making. Share examples of how you've tackled complex problems and what insights you've gained from your data.
Keep It Engaging: Remember, we’re looking for someone who can turn complex data into simple stories. Use clear language and avoid jargon where possible. Make sure your application reads well and keeps us interested in your journey as a Data Scientist.
Highlight Relevant Experience: Make sure to showcase your experience with Python, SQL, and any machine learning techniques you've used. We love seeing how you've applied these skills in real-world scenarios, so don’t hold back on the details!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Nicholson Glover
✨Know Your Data Science Fundamentals
Make sure you brush up on your Python and SQL skills, as well as your understanding of machine learning techniques. Be ready to discuss how you've applied these in past projects, especially in relation to behavioural analytics.
✨Understand Behavioural Science
Since this role blends data science with behavioural science, it’s crucial to show your curiosity about human behaviour. Prepare examples of how you've used data to uncover insights into decision-making processes.
✨Craft Your Storytelling Skills
You’ll need to translate complex data findings into simple narratives for non-technical stakeholders. Practice explaining your past projects in a way that highlights the impact of your insights on business decisions.
✨Prepare for Collaboration
This role involves working with behavioural scientists and consultants, so be ready to discuss how you’ve collaborated across disciplines in the past. Think of examples where teamwork led to successful outcomes in your projects.
