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- Tasks: Lead a team to optimise product presentation and drive commercial value.
- Company: Join a leading eCommerce organisation with a growing Data Science team.
- Benefits: Enjoy hybrid working with 2 days onsite and competitive salary up to £100,000.
- Why this job: Make a real impact by solving commercial challenges with data science in a fast-paced environment.
- Qualifications: Strong technical skills in data science and excellent communication abilities required.
- Other info: Open to applicants from across the UK, based in Leicestershire.
The predicted salary is between 60000 - 84000 £ per year.
We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers, ensuring the right products are surfaced at the right time and through the right channels.
We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire, and we welcome applicants from across the UK.
About the Role- Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value.
- Search optimisation - vector embedding of search terms and product items.
- Deep learning and regression modelling for product profitability.
Data Science Manager employer: IO Associates Careers
Contact Detail:
IO Associates Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially in eCommerce. Understanding how to optimise search algorithms and product recommendations will give you an edge during discussions with our team.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed data science projects in the past. We value candidates who can lead teams and drive results, so be ready to discuss your experiences.
✨Tip Number 3
Brush up on your communication skills. As a Data Science Manager, you'll need to convey complex technical concepts to non-technical stakeholders. Practising how to explain your work clearly will help you stand out.
✨Tip Number 4
Network with professionals in the data science field, particularly those in eCommerce. Engaging with industry peers can provide insights into the role and may even lead to valuable connections within our company.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in eCommerce. Emphasise your technical skills, such as deep learning and regression modelling, and any previous roles where you drove commercial value.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can solve real-world challenges. Mention specific projects or experiences that demonstrate your ability to optimise content presentation and collaborate with cross-functional teams.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively communicated complex data insights to non-technical stakeholders. This could be through presentations, reports, or team collaborations.
Highlight Hybrid Work Experience: As this is a hybrid role, mention any previous experience working in a flexible environment. Discuss how you manage your time and productivity while balancing remote and onsite work, which will show your adaptability.
How to prepare for a job interview at IO Associates Careers
✨Showcase Your Technical Skills
As a Data Science Manager, you'll need to demonstrate your technical expertise. Be prepared to discuss your experience with deep learning, regression modelling, and search optimisation. Bring examples of past projects where you've successfully applied these skills.
✨Communicate Clearly
Excellent communication skills are crucial for this role. Practice explaining complex data science concepts in simple terms. You may be asked to present your ideas or solutions, so clarity and confidence will help you stand out.
✨Understand the Business Context
Familiarise yourself with the eCommerce industry and the specific challenges it faces. Be ready to discuss how data science can drive commercial value and improve customer experiences. Showing that you understand the business will impress your interviewers.
✨Prepare for Collaboration Questions
This role involves working closely with various teams. Expect questions about your collaboration style and how you handle conflicts. Think of examples where you've successfully worked with others to solve problems or deliver projects.
