Senior Data Scientist

About us

We love pets - which is why we’re on a mission to make the world a better place for pets and their parents. We offer pet insurance policies with generous pet health benefits that are designed with their needs in mind. We’ve helped half a million pets stay happy and healthy since 2017 - and many more customers throughout the world are joining us every day.

Our company is respectful, fun-loving and passionate about pets and their wellbeing. Throughout our business you'll meet people who think differently, aim for impact, and love to try new things. Want to join our pack? Join us. Love every moment. Love Many Pets.

This role is remote first but travel will occasionally be required to the London office.

In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims, customer retention, fraud detection, and customer servicing.

As a Data Scientist, you ll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into our operations and develop predictive models that enhance our business processes. This collaborative approach allows you to work on a variety of projects, ensuring that your contributions have a significant impact across the organisation.

We value innovation and continuous improvement, so you ll be encouraged to stay current with emerging trends in data science and the pet insurance industry. You ll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge.

• Manage data science projects across the business
• Leverage advanced statistical techniques and machine learning/AI models to identify patterns and trends in data, providing insights to inform business strategy and decision-making.
• Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing.
• Deploy machine learning models into production using AWS services, including Sage Maker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes.
• Collaborate with product management and engineering teams to integrate data-driven insights and deploy predictive models into existing systems and processes.
• Communicate complex models and findings to stakeholders effectively through data visualisation, reports, and presentations.
• Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes.
• Perform statistical analysis, machine learning, and data mining to support various business needs.
• Participate in Agile or Kanban methodologies, contributing to a collaborative and flexible team environment.
• Work closely with data engineers to ensure robust data pipelines and data infrastructure to support data science projects.
• Contribute to a fast-paced, scale-up environment by adapting to changing business needs and providing innovative data-driven solutions.
• Maintain a strong understanding of data privacy and security requirements, ensuring compliance with relevant regulations.

• Data Science experience in accessing and analysing data using Python and SQL, ideally working with data engineering.
• Proficiency in statistical analysis, machine learning, and data mining techniques.
• A good understanding of key machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs).
• Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, Light
  
  GBM, Tensor Flow, or PyTorch.
• Knowledge of AWS products and services including Sagemaker.
• Deep…