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For Companies At a Glance
- Tasks: Join a dynamic team to tackle real-world data challenges and deliver impactful analytics projects.
- Company: A leading data consultancy that empowers businesses through innovative data science and AI solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and a culture that values creativity and collaboration.
- Why this job: Be part of a fast-paced environment where your technical skills can shine and make a difference.
- Qualifications: 2-5 years in data science, strong Python and SQL skills, and a knack for clear communication.
- Other info: Work on diverse projects across various sectors, enhancing your experience and professional growth.
The predicted salary is between 60000 - 80000 £ per year.
Job Description
Data Scientist | Strategy and Innovation Consultant | £45-50k (DOE)
Our client is a strategy, innovation and design consultancy where consultancy is the heartbeat of the business. Data and analytics are central to how they help clients navigate complex challenges and make confident choices.
With a small, highly capable analytics team embedded into consulting work, this is an environment where technical excellence, clear communication and practical impact matter more than shiny buzzwords. You’ll also work across two closely linked consultancies, giving you variety and exposure without corporate sprawl.
You will:
🔍 Translate business and strategy questions into the right analytical approaches
📈 Design and deliver bespoke analytics using R (Python a bonus)
🧠 Work with survey data – segmentation, tracking, driver analysis, choice-based modelling
🤝 Partner closely with consultants and researchers, shaping projects from start to finish
🗣️ Communicate insights clearly to both technical and non-technical stakeholders
🚀 Contribute to internal innovation, tools and ways of working
Roughly 75% of your time will be client delivery, with the rest spent on development, experimentation and IP.
The Ideal Candidate
- You’ll have 3–5 years’ experience in analytics or research within a consulting-style environment.
- You’re confident with R (and Python ideally!), comfortable with data, and genuinely curious about analytics, data science and AI.
- You like explaining the “so what” and working closely with others to make insights land.
Data Scientist employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network with professionals in the data science field. Attend meetups, webinars, or conferences related to data science and AI. This will not only help you learn about the latest trends but also connect you with potential employers or colleagues who can refer you to opportunities.
✨Tip Number 2
Showcase your projects on platforms like GitHub or Kaggle. Having a portfolio of your work demonstrates your practical skills and experience with real-world datasets. Make sure to highlight any machine learning models you've built and the impact they had.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and data science problems. Websites like LeetCode or HackerRank can be great resources. Focus on Python and SQL, as these are key skills mentioned in the job description.
✨Tip Number 4
Research the company and its projects thoroughly. Understanding their approach to data science and the industries they serve will allow you to tailor your discussions during interviews, showing that you're genuinely interested in their work and how you can contribute.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics. Emphasise your proficiency in Python and SQL, as well as any machine learning projects you've worked on. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the role and how your background aligns with the company's mission. Mention specific projects or experiences that showcase your ability to solve complex problems using data science.
Showcase Your Technical Skills: If applicable, include links to your GitHub or portfolio where you have shared projects or code samples. This can help demonstrate your practical knowledge of machine learning techniques and tools.
Prepare for Interviews: Be ready to discuss your past projects in detail, especially those involving customer segmentation, forecasting, or optimisation. Practice explaining complex ideas clearly, as communication skills are crucial for this role.
How to prepare for a job interview at Nicholson Glover
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've applied machine learning techniques, and be ready to explain the models you built and the outcomes they achieved.
✨Demonstrate Problem-Solving Abilities
Since the role involves tackling real-world business problems, think of specific challenges you've faced in previous roles. Be ready to walk through your thought process on how you approached these issues and the solutions you implemented.
✨Communicate Clearly
Excellent communication skills are crucial for this position. Practice explaining complex data concepts in simple terms, as you'll need to present insights to stakeholders who may not have a technical background.
✨Research the Company and Its Clients
Understand the consultancy's focus areas and the industries they serve. This knowledge will help you tailor your responses and demonstrate your interest in how you can contribute to their mission of solving complex problems through data science.
