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For Companies At a Glance
- Tasks: Lead data-driven projects in pricing, personalization, and inventory forecasting.
- Company: Join a rapidly growing retail business backed by a top private equity fund.
- Benefits: Enjoy hybrid work flexibility and significant career growth opportunities.
- Why this job: Make a real impact on business decisions and lead the future data science team.
- Qualifications: Experience with Snowflake, Tableau, Python, and AWS is essential.
- Other info: Work closely with the CTO in a strategic role with autonomy.
The predicted salary is between 43200 - 72000 £ per year.
twentyAI are excited to be partnered with a leading PE backed retail business in search of a Senior Data Scientist. This organisation is experiencing rapid growth, with an established national presence and ambitious expansion plans. Backed by a renowned private equity fund, this role offers a unique opportunity to spearhead data-driven projects that will directly impact critical areas such as pricing strategy, customer personalization, stock optimization, and site selection for new locations.
As the Senior Data Scientist, you will collaborate closely with the CTO to build the data science function and implement advanced analytics. The role is highly strategic, supporting decision-making across finance, supply chain, and marketing through data modeling and insights. This is a pivotal position for a data professional looking to make an impact on organizational growth and who aspires to lead the data science team in the future.
Key Responsibilities
- Pricing Analytics: Develop a tool to analyze the impact of price changes on sales and revenue.
- Personalization and Marketing: Use segmentation and customer demographics to drive targeted marketing campaigns.
- Inventory Forecasting: Create models to optimize stock levels and ensure efficient inventory management.
- Expansion Support: Build a property model to support the company’s growth, targeting 100+ new store locations.
Key Skills Required:
- Snowflake
- Tableau
- Python
- AWS
This is a fantastic opportunity to be a part of a high growth environment with significant autonomy and the potential to scale your career into a Head of Data Science role.
This role is hybrid and would expect you in the office 1-2 days a week.
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Data Scientist - London | London, UK | Hybrid employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - London | London, UK | Hybrid
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as Snowflake, Tableau, and Python. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with pricing analytics or inventory forecasting. Be prepared to discuss how you've used data to drive business decisions in past roles, as this will demonstrate your ability to impact critical areas of the organization.
✨Tip Number 3
Show your strategic thinking by preparing examples of how you've collaborated with cross-functional teams, especially in finance, supply chain, or marketing. This will illustrate your capability to support decision-making through data insights.
✨Tip Number 4
Research the company’s growth plans and recent developments in the retail sector. Being knowledgeable about their ambitions and challenges will allow you to tailor your conversation and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Data Scientist - London | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with tools like Snowflake, Tableau, Python, and AWS. Emphasize any previous roles where you developed pricing analytics or inventory forecasting models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, especially in areas like customer personalization and strategic decision-making.
Showcase Your Projects: If you have worked on projects related to pricing strategy or customer segmentation, include them in your application. Provide specific examples of how your work has driven results or impacted business decisions.
Highlight Leadership Aspirations: Since this role has the potential to lead the data science team, mention your aspirations for leadership. Share any experiences where you have taken initiative or led projects, demonstrating your readiness for a strategic position.
How to prepare for a job interview at twentyAI
✨Understand the Business Context
Make sure you familiarize yourself with the retail industry and the specific challenges it faces. Knowing how data science can impact pricing strategy, customer personalization, and inventory management will help you demonstrate your strategic thinking during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, Tableau, Python, and AWS. Bring examples of projects where you've used these tools to drive insights or solve problems, especially in areas like pricing analytics or inventory forecasting.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to pricing changes or stock optimization. Practice articulating your thought process and the methodologies you would use to tackle these scenarios.
✨Highlight Leadership Aspirations
Since this role has the potential to evolve into a Head of Data Science position, express your interest in leadership and team-building. Share any past experiences where you've led projects or mentored others, showcasing your readiness to take on more responsibility.
