Senior Data Scientist (AI/ML)

TL;DR

Senior Data Scientist (AI/ML): Applying technical skills and innovative thinking to solve complex challenges and shape data-driven decision-making in the London Market, with an accent on developing predictive/prescriptive models and deriving insights from diverse data sets. Focus on conceptualising new approaches, communicating vision to stakeholders, and contributing to hirify.global's data culture in insurance.

Location: Onsite in London, UK

Company

hirify.global is an award-winning insurance company recognized for its pioneering collaboration with Google to deliver an AI-enhanced lead underwriting solution.

What you will do

• Develop critical inputs to business information and innovative approaches for business leaders.
• Work on end-to-end data solutions, from understanding business challenges to designing scientific solutions and deriving insights using ML/statistical techniques.
• Collaborate with data scientists, data engineers, and other technical teams to mature analytics practice.
• Contribute to delivering value through a range of analytics techniques within the data and analytics community.

Requirements

• Must be based in London.
• Degree in STEM or closely related field, or equivalent experience.
• Deep data science experience with a history of influencing decisions and delivering business value.
• Experience with analytical tools and programming languages (Python, R, SQL).
• Strong grasp of foundational statistics.
• Strong verbal and written communication and presentation skills are essential.
• Familiarity with version control and agile working.

Nice to have

• Further degree.
• Experience of data science in finance or insurance.
• Experience with large language models and prompting.
• GCP experience.
• Interest in natural language processing or machine vision.
• Willingness to learn best practice in software development.

Culture & Benefits

• Be part of an award-winning team recognized for pioneering collaboration with Google on AI-enhanced solutions.
• Work within a multi-disciplinary technical team spanning multiple business functions.
• Opportunity to influence decisions and deliver value through data.
• Emphasis on learning and continuous delivery of value.