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For Companies At a Glance
- Tasks: Lead a team of data scientists to develop predictive models and drive innovation.
- Company: Join a pioneering data and analytics company at the forefront of machine learning.
- Benefits: Enjoy a hybrid work environment and a competitive salary of up to £125,000.
- Why this job: Make a meaningful impact in a role that shapes data science strategy and growth.
- Qualifications: Proven leadership in data science with expertise in machine learning and model deployment.
- Other info: Opportunity to work with cutting-edge technology and collaborate across teams.
The predicted salary is between 75000 - 125000 £ per year.
A pioneering data and analytics company is seeking a Chief Data Scientist to lead and grow a high-performing team working at the forefront of machine learning and predictive modelling. This is a senior, hands-on leadership role focused on delivering production-grade models in areas such as Automated Valuation Models (AVMs) and propensity modelling. You will take full ownership of the end-to-end data science lifecycle - from problem scoping to model deployment - while also setting technical standards, shaping strategy, and managing a team of three skilled data scientists.
Key Responsibilities
- Manage a team of 3 data scientists, fostering a high-performance and collaborative culture
- Own the end-to-end development of predictive models, including AVMs and propensity models
- Work closely with data engineering and product teams to integrate models into scalable solutions
- Set the vision and strategy for data science within the business, championing best practices and innovation
- Communicate complex technical concepts to both technical and non-technical stakeholders
- Guide experimentation, model validation, and continuous performance monitoring
- Contribute to long-term planning for the company's data science roadmap
Tech Environment
- Strong emphasis on Python and cloud-based data science tooling
- Experience with model deployment in production is essential
- Understanding of real estate or consumer behaviour data is a bonus, but not required
About You
- Proven experience leading small data science teams in a commercial setting
- Strong expertise in machine learning, particularly with propensity modelling / AVMs
- Deep experience with end-to-end model development and deployment
- Confident working in a fast-paced, hands-on environment
- Comfortable operating at both strategic and technical levels
- Excellent stakeholder management and communication skills
This is an opportunity to make a meaningful impact at a company where data science sits at the core of the product and strategy. You'll be a key voice in shaping how machine learning drives growth, innovation, and commercial outcomes.
Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page.
Chief Data Scientist employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in leadership roles. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can give you insights into what the company values.
✨Tip Number 2
Familiarise yourself with the latest trends in machine learning and predictive modelling, particularly in relation to Automated Valuation Models (AVMs). This knowledge will not only help you during interviews but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 3
Prepare to discuss your previous leadership experiences in detail. Be ready to share specific examples of how you've managed teams, fostered collaboration, and driven successful projects, as this role requires strong team management skills.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll need to communicate with both technical and non-technical stakeholders, being able to convey your ideas clearly will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Chief Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data science teams and your expertise in machine learning. Emphasise any relevant projects, particularly those involving predictive modelling or Automated Valuation Models (AVMs).
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership skills and your vision for data science within a company. Discuss how you can contribute to the company's strategy and innovation in machine learning.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in Python and cloud-based data science tools. Mention any experience with model deployment and how you've successfully integrated models into scalable solutions.
Prepare for Stakeholder Communication: Be ready to demonstrate your ability to communicate complex technical concepts to both technical and non-technical stakeholders. Consider including examples of past experiences where you successfully managed stakeholder expectations.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Leadership Skills
As a Chief Data Scientist, you'll be managing a team. Be prepared to discuss your leadership style and how you've successfully led teams in the past. Share specific examples of how you've fostered collaboration and high performance.
✨Demonstrate Technical Expertise
Expect to dive deep into technical discussions about machine learning and predictive modelling. Brush up on your knowledge of Python and cloud-based data science tools, and be ready to explain your experience with end-to-end model development and deployment.
✨Communicate Effectively
You'll need to convey complex concepts to both technical and non-technical stakeholders. Practice explaining your work in simple terms, and prepare to discuss how you've successfully communicated technical information in previous roles.
✨Align with Company Vision
Research the company's goals and how data science fits into their strategy. Be ready to discuss how you can contribute to their vision and what innovative ideas you have for advancing their data science roadmap.
