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For Companies At a Glance
- Tasks: Lead a team to create data-driven solutions for clients across various industries.
- Company: Join a top-tier consultancy that merges AI and data science for impactful analytics.
- Benefits: Enjoy a competitive salary, bonus potential, and hybrid working options.
- Why this job: Be at the forefront of data innovation while making strategic business impacts.
- Qualifications: 5+ years in data science, preferably in consulting, with strong communication skills.
- Other info: This role is client-facing, overseeing the entire data science lifecycle.
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 Senior Manager (Data Science).
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, private equity, public sector, etc.
The Role
As the Senior Manager (Data Science), you will lead a team of data scientists and analysts to develop data-driven solutions that drive business decisions and strategic initiatives. This role will be heavy on the client-facing side, where you will oversee the end-to-end data science lifecycle, from scoping out client needs to deploying ML models.
The Candidate
Key attributes of the suitable Senior Manager (Data Science) include:
- 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
Senior Manager (Data Science) employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager (Data Science)
✨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’ve 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 the sectors mentioned in the job description. Being able to discuss these topics during interviews will demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare for client-facing scenarios by practising how you would approach scoping out client needs and presenting data solutions. Role-playing these situations can help you articulate your thought process and build confidence for the interview.
We think you need these skills to ace Senior Manager (Data Science)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and consulting. Focus on your leadership roles, client-facing experiences, and any specific projects that demonstrate your ability to drive business decisions through data.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Manager position and how your background aligns with the company's focus on AI and advanced analytics. Use specific examples from your past work to illustrate your skills and achievements.
Highlight Communication Skills: Since the role requires strong communication skills, ensure you provide examples of how you've successfully communicated complex data science concepts to both technical and non-technical stakeholders in your application.
Showcase Leadership Experience: Emphasise your experience in leading teams and managing projects. Detail how you have guided data scientists and analysts in previous roles, and mention any successful outcomes that resulted from your leadership.
How to prepare for a job interview at Nicholson Glover
✨Showcase Your Leadership Skills
As a Senior 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 experience you have in mentoring or developing junior staff.
✨Demonstrate Client-Facing Experience
Since this role is client-facing, it's crucial to illustrate your experience in managing client relationships. Prepare anecdotes that showcase your ability to understand client needs and deliver tailored data-driven solutions.
✨Highlight Technical Proficiency
You’ll need to oversee the end-to-end data science lifecycle, so be ready to discuss your technical skills in data science and machine learning. Familiarise yourself with the latest tools and technologies relevant to the role and be prepared to explain how you've applied them in previous projects.
✨Communicate Effectively with Diverse Stakeholders
Strong communication skills are essential for this position. Practice explaining complex data science concepts in simple terms, as you will need to engage with both technical and non-technical stakeholders. Consider preparing a few examples where you successfully bridged the gap between these groups.
