Lead Data Scientist

at  ManyPets

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 (most importantly) 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 ManyPets.

YOUR SKILLS AND EXPERIENCE

• Deep Data Science experience in accessing and analysing data using Python and SQL, ideally working in partnership with Data Engineering specialists.
• 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, LightGBM, TensorFlow, or PyTorch.
• Comfortable working with Agile or Kanban methodologies.
• Significant knowledge of Microsoft Excel in a commercial setting.
• Ability to communicate effectively with both technical and non-technical audiences at all levels of the organisation.

• Lead our data science projects across the business, delivering impactful results.
• 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.
• Perform statistical analysis, machine learning, and data mining to support our business needs.
• Communicate complex models and findings to stakeholders effectively through data visualisation, reports, and presentations.
• Collaborate with Product and Engineering teams to integrate data-driven insights and deploy predictive models into existing systems and processes.
• Work closely with Data Engineers to ensure robust data pipelines and data infrastructure to support data science projects.
• Participate in Agile or Kanban methodologies, contributing to a collaborative and flexible team environment.
• 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.
• Maintain a deep understanding of data privacy and security requirements, ensuring compliance with relevant regulations.