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For Companies At a Glance
- Tasks: Lead data science projects, develop analytics capabilities, and collaborate on innovative solutions.
- Company: Join Ruby Magpie, a fast-growing consultancy known for bespoke insights and high-quality data-led offerings.
- Benefits: Enjoy a competitive salary, generous holiday, private health insurance, and a friendly team culture.
- Why this job: Shape the future of data science in a supportive environment while tackling complex, impactful projects.
- Qualifications: 5+ years in data science, strong analytical skills, and proficiency in Python, SQL, or R required.
- Other info: Hybrid working model with regular team socials and opportunities for personal development.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Data Scientist – Quantitative
Hybrid (1 – 3 days in Leeds office, rest at home) | Full-time | Permanent
Salary: £50-60k + excellent benefits
An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment.
You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and analysts – all passionate about delivering actionable insight and tackling complex questions. The consultancy is known for its bespoke, high-quality approach and is now expanding into deeper data-led offerings.
The Role
This is a hands-on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision.
You’ll work on:
- Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.)
- Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural)
- Developing infrastructure and tooling for scalable analysis
- Expanding the use of AI, synthetic data and machine learning
- Collaborating with marketing to shape new, data-led propositions
- Upskilling team members in data science and statistical thinking
- Representing the agency externally in thought-leadership or event settings (optional)
What You’ll Need
- 5+ years of data science experience, ideally with at least 2 years working with survey or behavioural data, ideally in a consultancy or agency environment
- Strong command of quantitative analysis methods, including regression, segmentation and more advanced statistical techniques
- Proficiency in tools like Python, SQL, SPSS, Q or R
- Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data
- Ability to explain technical findings clearly to non-technical audiences
- An innovative and proactive mindset with a love of new ideas, tools, and learning
Nice to Have
- Experience establishing data science workflows in a commercial setting
- A track record of upskilling or training others in data/statistics
- A desire to contribute to external thought leadership (e.g. presenting at events)
What’s On Offer
- £50-60k with up to 10% discretionary bonus
- 25 days holiday + birthday off + public holidays
- £500 personal training budget per year
- 5% employer pension contribution
- Private health insurance + life insurance + income protection
- Eye test and childcare vouchers
- Enhanced parental leave
- Extra holiday days for length of service
- Friendly, collaborative team culture with regular socials, book club, quizzes and more
Hybrid working model – 1-3 days per week in office
Would also consider someone on 4 days a week
Data Scientist employer: Ruby Magpie
Contact Detail:
Ruby Magpie 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, especially those who work in consultancy. Attend industry events or webinars where you can meet potential colleagues or recruiters from Ruby Magpie. Building these connections can give you insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest trends in advanced analytics and machine learning. Being able to discuss recent developments or tools in your interviews will demonstrate your passion and commitment to staying current in the field.
✨Tip Number 3
Prepare to showcase your experience with diverse datasets and quantitative analysis methods. Think of specific examples from your past work that highlight your skills in regression, segmentation, and using tools like Python or SQL, as these will be crucial in your discussions.
✨Tip Number 4
Consider creating a portfolio of your previous projects that involved data science. This could include case studies or presentations that illustrate your ability to explain complex findings to non-technical audiences, which is a key requirement for this role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, particularly focusing on your work with advanced analytics, machine learning, and large datasets. Use specific examples that demonstrate your skills in Python, SQL, and statistical techniques.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience in research or analytics agencies. Mention any innovative projects you've led or contributed to.
Showcase Your Technical Skills: Clearly outline your proficiency in tools like Python, SQL, SPSS, Q, or R in your application. Consider including a brief section that lists your technical skills and any relevant certifications or courses you've completed.
Prepare for Potential Questions: Think about how you would explain complex data science concepts to non-technical audiences, as this is a key requirement for the role. Prepare examples of how you've successfully communicated technical findings in the past.
How to prepare for a job interview at Ruby Magpie
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools like Python, SQL, and R. Bring examples of projects where you've applied advanced analytics methods, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since the role involves explaining technical findings to non-technical audiences, practice articulating complex concepts in simple terms. This will show that you can bridge the gap between data science and business needs.
✨Demonstrate Your Innovative Mindset
Share examples of how you've contributed new ideas or tools in previous roles. Highlight any experience with AI or machine learning, as this aligns with the consultancy's focus on expanding data-led offerings.
✨Prepare for Team Collaboration Questions
Expect questions about your experience in upskilling team members or collaborating across departments. Be ready to discuss how you've fostered a supportive environment and contributed to team development.
