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For Companies At a Glance
- Tasks: Lead the data lifecycle, develop AI features, and mentor a small team.
- Company: Join a dynamic market research business in the FMCG sector.
- Benefits: Enjoy 25 days holiday, hybrid work, and health support.
- Why this job: Shape innovative data strategies and drive impactful solutions in a fast-paced environment.
- Qualifications: Strong experience in data science, Python, SQL, and cloud platforms required.
- Other info: Bonus for SaaS exposure and deploying AI tools at scale.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We’re working with a market research business within the FMCG space. They’re now hiring a Data Scientist to shape and execute the company’s data strategy and develop AI-driven features that elevate their platform.
The Role
You’ll lead on the full data lifecycle – from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth.
Key Responsibilities
- Build and optimise data pipelines and infrastructure
- Design and deploy ML models, including LLM-powered features
- Mentor junior data scientists and foster team development
- Align data science with product and business strategy
- Identify opportunities for automation and platform enhancements
About You
- Strong experience delivering end-to-end data science solutions
- Skilled in Python, SQL, and cloud platforms (Azure preferred)
- Familiar with LLMs, embeddings, or vector search
- Confident communicating with stakeholders across technical and commercial teams
- Comfortable working in a fast-paced, product-focused environment
Bonus Experience
- Subscription or SaaS business exposure
- Deploying AI tools at scale
Perks & Benefits
- 25 days holiday + bank holidays + “MeDay” for personal celebrations
- Paid volunteer day annually
- Enhanced family leave
- Health & wellbeing support
- Cycle to Work & Electric Car schemes
- Hybrid working
Data Scientist employer: Vertical Advantage
Contact Detail:
Vertical Advantage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly around LLMs and AI-driven features. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the FMCG sector and data science community. Attend relevant meetups or webinars to connect with potential colleagues and learn about the challenges they face, which can give you an edge in discussions.
✨Tip Number 3
Prepare to discuss your experience with end-to-end data science solutions. Be ready to share specific examples of how you've built and optimised data pipelines or deployed machine learning models in previous roles.
✨Tip Number 4
Showcase your mentoring skills by thinking of ways you've helped junior data scientists grow in their roles. Highlighting this experience can demonstrate your leadership potential and alignment with the company's focus on team development.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science solutions, particularly in Python, SQL, and cloud platforms like Azure. Emphasise any projects involving LLMs or machine learning models to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills can contribute to the company's data strategy. Mention specific examples of how you've driven innovation in previous roles, especially in fast-paced environments.
Showcase Your Projects: If you have relevant projects or case studies, include them in your application. This could be links to GitHub repositories or detailed descriptions of your work that demonstrate your ability to build and optimise data pipelines and deploy ML models.
Prepare for Technical Questions: Anticipate technical questions related to data science and machine learning during the interview process. Brush up on your knowledge of LLMs, embeddings, and vector search, as well as your ability to communicate complex concepts to non-technical stakeholders.
How to prepare for a job interview at Vertical Advantage
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud platforms like Azure. Bring examples of projects where you've built data pipelines or deployed machine learning models, especially those involving LLMs.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in previous roles and how you overcame them. Highlight your ability to identify opportunities for automation and platform enhancements, as this aligns with the company's goals.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. Since you'll be working closely with product and commercial teams, being able to communicate clearly with non-technical stakeholders is crucial.
✨Prepare for Team Dynamics
Since mentoring junior data scientists is part of the role, be ready to discuss your leadership style and how you foster team development. Share examples of how you've successfully guided others in their careers.
