Lead Data Scientist

Lead Data Scientist

Reigate Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a data science team to optimise pricing and improve business performance.
  • Company: Join esure Group, a leader in transforming the insurance industry with over 2 million customers.
  • Benefits: Enjoy competitive salary, flexible working, private medical insurance, and generous annual leave.
  • Why this job: Be part of a mission-driven team that values innovation and personal growth.
  • Qualifications: 4+ years as a Data Scientist with leadership experience and strong Python skills required.
  • Other info: Hybrid working model and commitment to diversity and inclusion.

The predicted salary is between 43200 - 72000 £ per year.

Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold commitment for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do.

We are currently recruiting for a Lead Data Scientist to join our award winning, and innovative Data Science team. This is a phenomenal opportunity for someone to improve company profitability by optimising pricing for Motor and Home products across all brands and channels. Leverage new predictive sources of data and advanced modeling techniques to improve competitiveness and expand underwriting capabilities.

What you’ll do:

  • Lead and develop a data science team to deliver value-adding projects.
  • Foster team growth and prepare members for career advancement.
  • Analyse company performance metrics to guide and interpret models.
  • Shape the R&D strategy and modelling roadmap.
  • Assist in acquiring vendor data and develop arguments.
  • Provide expert mentorship for ongoing and new pricing activities.
  • Design experiments and multivariate testing for AI evaluation.
  • Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers.
  • Use statistical techniques to optimise business performance.
  • Develop and maintain algorithms to improve customer value and services.
  • Deliver data science projects that drive business benefits and competitive advantage.
  • Conduct ad-hoc analysis to predict, measure, and interpret business trends.
  • Mentor data scientists and champion standard processes within the analytics community.
  • Collaborate with DevOps and Data Engineers to deploy ML Models.
  • Set standards for R&D practices and lead meetings with partners.
  • Refactor code into reusable libraries, APIs, and tools.
  • Help us to craft the next generation of our products.

You Are a Good Fit If You Have:

  • 4+ years as a Data Scientist in commercial or R&D environments.
  • PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics).
  • Experience applying statistical and machine learning models to real-world problems with measurable results.
  • Leadership experience within a high-performing team, including mentorship and management readiness.
  • Proven track record to take research from concept to business impact.
  • Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases.
  • Familiarity with Jupyter Notebooks and Git version control.
  • Expertise in working with large, sophisticated datasets and extracting actionable insights.
  • Project management experience with tight deadlines.
  • Ability to work independently and take ownership of tasks.
  • Experience working with cross-functional teams.
  • Knowledge of innovative software practices (SCRUM/Agile, microservices, containerization like Docker/Kubernetes).

We'd also encourage you to apply if you possess:

  • Experience with Spark/Databricks.
  • Experience deploying ML models via APIs (e.g., Flask, Keras).
  • Startup experience or familiarity with geospatial and financial data.

The Interview Process (subject to change):

  • You’ll start with an introductory call with one of our Recruitment Partners. This is a ‘get to know you session’ and for you to explore the position in more detail.
  • 1st stage: 30min conversation with our Head of AI and Data Science.
  • 2nd stage: 2 hour interview; comprised on a technical presentation and conversation with DS team.

What’s in it for you?

  • Competitive salary that reflects your skills, experience and potential.
  • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
  • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
  • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
  • Company funded private medical insurance for qualifying colleagues.
  • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
  • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
  • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
  • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
  • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
  • And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC.

We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

Lead Data Scientist employer: esure Group

At esure Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Data Scientist, you'll not only have the opportunity to lead a talented team but also benefit from our commitment to employee growth through hands-on training, mentoring, and access to exclusive academies. With a competitive salary, flexible working options, and a strong focus on diversity and inclusion, esure is dedicated to creating a rewarding environment where you can thrive both personally and professionally.
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Contact Detail:

esure Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Scientist

✨Tip Number 1

Familiarise yourself with the latest trends in data science and machine learning, especially those relevant to the insurance industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.

✨Tip Number 2

Prepare to discuss specific projects where you've successfully applied statistical and machine learning models. Be ready to explain the impact of your work on business outcomes, as this will showcase your ability to translate research into real-world results.

✨Tip Number 3

Highlight your leadership experience by sharing examples of how you've mentored team members or led projects. This is crucial for a Lead Data Scientist role, as they will be looking for someone who can foster team growth and drive initiatives.

✨Tip Number 4

Network with current employees or alumni from your university who work at esure Group. They can provide valuable insights into the company culture and the specifics of the role, which can help you tailor your approach during the interview process.

We think you need these skills to ace Lead Data Scientist

Leadership Skills
Data Analysis
Machine Learning Expertise
Statistical Modelling
Python Proficiency
SQL and NoSQL Database Management
Project Management
Mentorship and Team Development
Experience with Jupyter Notebooks
Version Control with Git
Experience with Large Datasets
Cross-Functional Collaboration
Knowledge of SCRUM/Agile Practices
Containerization (Docker/Kubernetes)
API Development for ML Models
Experience with Spark/Databricks
Ability to Conduct Ad-Hoc Analysis
Strong Problem-Solving Skills
Adaptability in Fast-Paced Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any leadership roles or projects that demonstrate your ability to optimise pricing and improve business performance. Use specific metrics to showcase your achievements.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the insurance industry and how your skills align with esure Group's mission. Mention your experience with machine learning and statistical techniques, and how you can contribute to their digital transformation.

Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any other relevant tools or technologies mentioned in the job description. Provide examples of how you've applied these skills in real-world scenarios to achieve measurable results.

Prepare for Interviews: Anticipate questions related to your leadership experience and technical expertise. Be ready to discuss specific projects where you've led a team or implemented machine learning solutions. Practise explaining complex concepts in a way that's easy to understand.

How to prepare for a job interview at esure Group

✨Showcase Your Leadership Skills

As a Lead Data Scientist, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences, how you've fostered team growth, and any specific examples of mentoring that have led to successful outcomes.

✨Demonstrate Technical Proficiency

Make sure to highlight your expertise in Python, SQL, and machine learning models. Prepare to discuss specific projects where you've applied these skills, particularly in optimising pricing or improving business performance.

✨Prepare for Technical Presentations

Since the interview includes a technical presentation, choose a relevant project to present. Focus on your methodology, the challenges you faced, and the impact your work had on the business. Practice explaining complex concepts in a clear and engaging way.

✨Understand the Company’s Vision

Research esure Group's mission and recent digital transformation efforts. Be ready to discuss how your skills and experiences align with their goals of leveraging data-driven insights to enhance customer experiences and drive innovation in the insurance industry.

Lead Data Scientist
esure Group
Location: Reigate
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