At a Glance
- Tasks: Lead and grow a team of Data Scientists while driving innovative data solutions.
- Company: Join a global leader in Insurance & Financial Services with a strong reputation.
- Benefits: Enjoy flexible hybrid working, competitive salary, and excellent pension options.
- Why this job: Be at the forefront of data science innovation in a supportive and dynamic environment.
- Qualifications: Must have experience as a Lead Data Scientist and expertise in AI & ML.
- Other info: Opportunity to build a Data Science practice from the ground up.
The predicted salary is between 80000 - 120000 £ per year.
Hawksworth UK are delighted to be recruiting for a ‘Lead Data Scientist’ for a global Insurance & Financial Services organisation. This is a great opportunity for the right person and one we don’t see very often. You will have the chance to build out the Data Science area in a large well known organisation. It can be mainly working from home and going into the office when needed (London or Potters Bar or Bristol locations). You will be instrumental in building the Data Science Team/ area and growth model.
- Hybrid working – very flexible on this
- Location: Where is close to you, London or Bristol or Potters Bar
- Salary: Base salary of £100k – £120k + excellent supporting package
As the data Science Lead you will manage, grow and build a team of high quality Data Scientists. This role requires a deep understanding of data science techniques and services. It is a technical role and as such you will have a wealth of experience in driving data-driven decision-making across large organisations. You will be able to tackle complex problems using a range of methods, guiding your team through a constant test and learn culture, helping to raise the bar and to help innovate.
Some duties will include Data Science strategy, vision, and roadmap, Business requirements and data development through Data Science, Project delivery, Team Management. Drive innovative data science techniques into the business, utilising AI & ML technologies.
We are looking for candidates with the following:
- Experience as a Lead Data Scientist, leading teams of data scientists.
- Substantial experience of various analytical methods including Machine Learning & Artificial Intelligence
- Expertise in Business Analytics,
- Good stakeholder management, including senior leaders, Executives and Board members. Can easily articulate at all levels with a friendly, personable approach.
- Marketing experience, with a track record of achieving growth using data driven reasoning
- Financial Services industry is a very nice to have, but tenure in a Corporate environment is a must.
- Experience in a start-up OR someone who is happy to grow a Data Science practice from the ground up.
If this sounds like you, please contact me ASAP by applying for the role or contact ne directly at richard@hawksworthuk.com.
Thank you and we look forward to hearing from you.
Lead Data Scientist - £100k - £120k (+10-15% bonus/ upto 21% pension)- Flexible Hybrid working employer: Hawksworth
Contact Detail:
Hawksworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - £100k - £120k (+10-15% bonus/ upto 21% pension)- Flexible Hybrid working
✨Tip Number 1
Make sure to showcase your leadership experience in data science. Highlight any previous roles where you successfully built or managed a team, as this is crucial for the Lead Data Scientist position.
✨Tip Number 2
Demonstrate your expertise in machine learning and AI by discussing specific projects you've led. Be prepared to explain how these projects drove data-driven decision-making within your organization.
✨Tip Number 3
Familiarize yourself with the financial services industry, even if it's not a strict requirement. Understanding the nuances of this sector can give you an edge when discussing your fit for the role.
✨Tip Number 4
Prepare to articulate your vision for building a data science practice from the ground up. Think about innovative strategies you could implement and how you would foster a test-and-learn culture within the team.
We think you need these skills to ace Lead Data Scientist - £100k - £120k (+10-15% bonus/ upto 21% pension)- Flexible Hybrid working
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Lead Data Scientist position. Highlight your experience in leading teams and driving data-driven decision-making in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience in data science, particularly in Machine Learning and AI. Emphasize your leadership skills and any experience you have in building teams or practices from the ground up.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to innovate within a corporate environment. Mention specific examples of how you've successfully managed projects and teams in the past.
Highlight Stakeholder Management Skills: In your application, be sure to mention your experience with stakeholder management, especially with senior leaders and executives. Provide examples of how you've effectively communicated complex data insights to various audiences.
How to prepare for a job interview at Hawksworth
✨Showcase Your Leadership Experience
As a Lead Data Scientist, you'll be managing a team. Be prepared to discuss your previous leadership roles, how you built and guided teams, and any specific challenges you overcame in those positions.
✨Demonstrate Technical Expertise
Make sure to highlight your experience with various analytical methods, especially in Machine Learning and Artificial Intelligence. Prepare examples of projects where you successfully applied these techniques to solve complex problems.
✨Communicate Effectively with Stakeholders
Since stakeholder management is crucial, practice articulating your ideas clearly and concisely. Be ready to share experiences where you effectively communicated with senior leaders or board members, showcasing your personable approach.
✨Emphasize Your Strategic Vision
Discuss your understanding of data science strategy and how you envision building out the Data Science area within the organization. Share your thoughts on innovative techniques and how they can drive business growth.