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- Tasks: Lead and grow the Data Science team, focusing on pricing and AI value addition.
- Company: Join a well-established client with strong backing from Private Equity partners.
- Benefits: Competitive salary of £110,000 - £130,000 plus bonuses and flexible working in London.
- Why this job: Make a significant impact in a dynamic environment while collaborating with C-Suite executives.
- Qualifications: Experience in pricing, leadership, and various Data Science techniques required.
- Other info: Opportunity to progress to Head of Data Science based on performance.
The predicted salary is between 95000 - 130000 £ per year.
Role: Data Science Manager
Scope: Take over Data Science team and lead the entirety of Data Science in the business and identify areas where Data Science & AI can add value - with a specific emphasis on pricing.
Location: Central London - circa 2 days per week
Salary: £110,000 - £130,000 + bonus DOE
Progression: Potential to become Head of Data Science upon proving value of DS in the org
Ownership: PE Owned
One of our most established clients are looking for a Data Science Manager to come on board and take over their entire Data Science function. As a Data Science Manager you will not only be responsible for building & growing the Data Science function but you will also be working closely with the C-Suite and the Private Equity partners, given their interest in this space and therefore investment.
You will need to have some pricing experience but outside of that, you could have experience across search / recommendations / personalisation / LLMs etc as there is so much value you could bring and opportunity for you as a Data Science Manager to put your mark on the business.
If this Data Science Manager role sounds like you, we need to see the following:
- Pricing Experience
- Leadership background in managing people
- Background in a range of Data Science techniques and areas
- Brilliant communication skills and stakeholder management
- A background as a Data Scientist within a Product Led business
- E-commerce / Marketplace experience as a plus
- Still technically adept with Machine Learning & the Data Science tool kit although this role is more commercial
If this Data Science Manager role sounds like you, please do apply now for immediate consideration.
Data Science Manager employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in pricing strategies. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experiences where you successfully managed a team or project. Be prepared to share specific examples of how you motivated your team and drove results.
✨Tip Number 3
Familiarise yourself with the company's current data science initiatives and think about how you can contribute to their growth. Prepare insights or suggestions that demonstrate your understanding of their business and how data science can enhance it.
✨Tip Number 4
Brush up on your technical skills related to machine learning and data science tools, as you'll need to communicate effectively with your team. Being able to discuss technical concepts clearly will help you gain credibility with both your team and stakeholders.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience and specific skills in Data Science, particularly in pricing and stakeholder management. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to lead a Data Science team and your experience in applying Data Science techniques in a commercial context. Mention any relevant projects or achievements that demonstrate your impact in previous roles.
Showcase Communication Skills: Since brilliant communication skills are essential for this role, consider including examples in your application that illustrate how you've effectively communicated complex data insights to non-technical stakeholders.
Highlight Technical Proficiency: Even though the role is more commercial, it's important to mention your technical skills in Machine Learning and other Data Science tools. Briefly describe how you have applied these skills in past projects to add value to the business.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading a team. Be prepared to discuss your leadership style and provide examples of how you've successfully managed teams in the past. Highlight any specific achievements that demonstrate your ability to inspire and guide others.
✨Demonstrate Your Pricing Expertise
Since the role emphasises pricing experience, come equipped with examples of how you've applied data science techniques to pricing strategies. Discuss any relevant projects where you identified value through data-driven pricing decisions.
✨Communicate Effectively with Stakeholders
Brilliant communication skills are essential for this role. Practice explaining complex data science concepts in simple terms, as you'll need to engage with C-Suite executives and private equity partners. Prepare to discuss how you've successfully managed stakeholder expectations in previous roles.
✨Stay Technically Sharp
Even though the role is more commercial, being technically adept is crucial. Brush up on your knowledge of machine learning and data science tools. Be ready to discuss recent trends or advancements in the field that could benefit the company.
