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- Tasks: Lead a team of Data Scientists to create innovative analytic solutions.
- Company: Join a dynamic company shaping the future of underwriting and pricing.
- Benefits: Enjoy a collaborative environment with opportunities for growth and development.
- Why this job: Make a real impact by integrating data science into core business strategies.
- Qualifications: 7+ years in data science or actuarial roles with strong leadership skills required.
- Other info: Contact tilly.martin-redman@eamesconsulting.com for more details.
The predicted salary is between 43200 - 72000 £ per year.
Our client is looking for a forward thinking Data Scientist to lead and grow their capability, helping shape the future of underwriting and pricing in a dynamic and collaborative environment.
You will be leading a team of Data Scientists to deliver impactful analytic solutions, help define and deliver strategic data initiatives and partner with the wider business to integrate data science into core business platforms.
The ideal candidate will have strong leadership and stakeholder experience and 7+ years in a data science or actuarial role.
For more information please reach out: tilly.martin-redman@eamesconsulting.com
Data Science Manager employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Showcase your leadership skills by discussing any previous experience where you led a team or project. Highlight how you motivated your team and the impact of your leadership on project outcomes.
✨Tip Number 2
Familiarise yourself with the latest trends in data science and underwriting. Being able to discuss current methodologies and technologies during your conversations will demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare examples of how you've successfully integrated data science into business processes in the past. This will show your potential employer that you can effectively bridge the gap between technical solutions and business needs.
✨Tip Number 4
Network with professionals in the data science and actuarial fields. Attend industry events or join relevant online communities to connect with others who may provide insights or referrals for the role.
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 relevant skills in data science. Focus on your achievements in previous roles, especially those that demonstrate your ability to deliver impactful analytic solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the job description, particularly your experience in leading teams and integrating data science into business platforms.
Showcase Relevant Projects: Include specific examples of projects you've led or contributed to that relate to underwriting and pricing. Highlight any strategic data initiatives you have been part of, as this will resonate well with the hiring team.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any grammatical errors or typos, as these can detract from your professionalism. A polished application reflects your attention to detail.
How to prepare for a job interview at Eames Consulting
✨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 experiences where you’ve mentored others or driven projects to completion.
✨Demonstrate Technical Expertise
With 7+ years in data science or actuarial roles, it's crucial to showcase your technical skills. Be ready to discuss specific tools, technologies, and methodologies you've used in previous projects. This will help illustrate your capability to lead a team effectively.
✨Understand the Business Context
Since the role involves integrating data science into core business platforms, make sure you understand the company's industry and how data science can impact underwriting and pricing. Prepare to discuss how you can align data initiatives with business goals.
✨Prepare for Stakeholder Engagement
Strong stakeholder experience is essential for this role. Think about times when you've collaborated with different departments or stakeholders. Be ready to share how you communicated complex data insights to non-technical audiences and influenced decision-making.
