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For Companies At a Glance
- Tasks: Develop analytical solutions and build data pipelines for global clients.
- Company: Join a data-driven business helping brands navigate consumer trends.
- Benefits: Enjoy a collaborative environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of AI-driven features and enhance user experiences.
- Qualifications: 3 years in data science or analytics, proficient in Python and SQL.
- Other info: Experience in subscription-based businesses is a plus.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring a Data Scientist for a a data-driven business helping household brands stay ahead of shifting consumer trends.
This role is ideal for someone with around 3 years’ experience in market research, analytics, or subscription-based businesses who’s ready to apply data science in a product-led environment and leading a team.
The Role
You’ll play a key part in developing analytical solutions that shape how global clients access and understand consumer insights. Working alongside product managers, analysts, and developers, you’ll help build data pipelines, explore AI-driven features, and contribute to smarter tools that enhance the user experience.
Responsibilities:
- Supporting the design and implementation of scalable data pipelines
- Building predictive models and automation tools to streamline insight delivery
- Exploring the use of LLMs and AI to enhance product functionality
- Collaborating with cross-functional teams to align data solutions with user needs
- Analysing platform usage and market trends to guide strategic decisions
Requirements:
- Around 3 years of experience in data science, analytics, or advanced market research
- Proficient in Python and SQL, with exposure to cloud tools (Azure, GCP or AWS)
- Comfortable working with large datasets and building models that can scale
- Clear communicator who can translate complex findings into actionable insight
- Experience in subscription-based or SaaS environments is highly valued
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 and analytics, especially in subscription-based businesses. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to our goals.
✨Tip Number 2
Network with professionals in the field by attending data science meetups or webinars. Engaging with others can provide insights into what we value at StudySmarter and may even lead to referrals that could boost your application.
✨Tip Number 3
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to build scalable data pipelines and predictive models.
✨Tip Number 4
Prepare to discuss your experience with AI and LLMs during the interview. Think of specific examples where you've applied these technologies to solve problems or enhance product functionality, as this aligns closely with what we’re looking for.
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 in data science, analytics, and market research. Emphasise your proficiency in Python and SQL, and mention any relevant cloud tools you've worked with, such as Azure, GCP, or AWS.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your experience aligns with the role. Mention specific projects where you've built predictive models or worked with large datasets, and how these experiences can benefit the company.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your skills in building data pipelines or using AI, include them in your application. This will provide concrete examples of your capabilities and help you stand out.
Prepare for Technical Questions: Be ready to discuss your technical skills and past experiences in detail. Think about how you would explain complex findings to non-technical stakeholders, as clear communication is key in this role.
How to prepare for a job interview at Vertical Advantage
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and SQL. Bring examples of projects where you've built data pipelines or predictive models, as this will demonstrate your hands-on experience and technical capabilities.
✨Understand the Business Context
Research the company and its clients to understand their market position and consumer trends. This knowledge will help you align your answers with their business goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach building a data solution for a specific client need or how you would leverage AI to enhance product functionality.
✨Communicate Clearly and Effectively
Practice explaining complex data concepts in simple terms. As a Data Scientist, you'll need to translate your findings into actionable insights for non-technical stakeholders, so showcasing your communication skills is crucial.
