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For Companies At a Glance
- Tasks: Lead a team to create data-driven solutions and oversee the data science lifecycle.
- Company: Join a top-tier consultancy that merges AI, data science, and commercial insight.
- Benefits: Enjoy a competitive salary, bonus potential, and hybrid working options.
- Why this job: Be part of a dynamic team making impactful decisions across various industries.
- Qualifications: 5+ years in data science, consulting experience, and strong communication skills required.
- Other info: Opportunity to work with clients in finance, retail, and public sectors.
The predicted salary is between 60000 - 84000 £ per year.
We are working on an exciting opportunity with a well-established data consultancy, that is hiring for a Data Science Manager.
The Company
This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in industries such as finance, retail, and the public sector.
The Role
As the Data Science Manager, you will lead a team of data scientists and analysts to develop data-driven solutions that drive business decisions and strategic initiatives. Overseeing the end-to-end data science lifecycle, from scoping out client needs to deploying ML models.
The Candidate
- At least 5+ years of commercial data science experience
- Experience within consulting, especially in sectors like Financial Services, Retail, Tech, Public Sector, etc.
- Strong communication skills with experience in dealing with both technical and non-technical stakeholders
Data Science Manager employer: Nicholson Glover
Contact Detail:
Nicholson Glover 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 and consulting fields. Attend industry events, webinars, or meetups to connect with people who work at similar companies or in related roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing teams or projects. Prepare examples of how you've successfully led data-driven initiatives and how you communicated complex data insights to non-technical stakeholders.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in data science, especially those relevant to consulting. Being knowledgeable about AI, machine learning, and advanced analytics will demonstrate your commitment to staying current in the field.
✨Tip Number 4
Prepare for potential case studies or technical assessments during the interview process. Practice articulating your thought process when solving data-related problems, as this will showcase your analytical skills and approach to real-world challenges.
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 relevant experience in data science and consulting. Emphasise your leadership skills and any specific projects that demonstrate your ability to manage teams and deliver data-driven solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Science Manager position. Discuss your experience in leading data science projects and how it aligns with the company's focus on AI and advanced analytics.
Showcase Your Communication Skills: Since strong communication skills are essential for this role, consider including examples of how you've successfully communicated complex data insights to both technical and non-technical stakeholders in your application.
Highlight Relevant Experience: Be sure to mention your experience in sectors like finance, retail, or the public sector. Provide specific examples of how your work has driven business decisions and strategic initiatives in these areas.
How to prepare for a job interview at Nicholson Glover
✨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 projects where you guided your team to achieve significant results.
✨Demonstrate Your Technical Expertise
Make sure to brush up on your technical skills related to data science and machine learning. Be ready to discuss the tools and technologies you've used, as well as any relevant projects. This will show that you have the hands-on experience needed for the role.
✨Understand the Business Context
Since this role involves consulting, it's crucial to understand how data science can drive business decisions. Research the company’s clients and industries they serve, and think about how your expertise can add value to their specific challenges.
✨Prepare for Stakeholder Communication
Strong communication skills are key for this position. Prepare to discuss how you've effectively communicated complex data insights to both technical and non-technical stakeholders. Consider sharing examples of how you tailored your communication style to suit different audiences.
