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DataIQ Future Leaders

DataIQ Future Leaders recognises individuals working in data and analytics who are on an upward career trajectory to become the next cohort of senior data leaders. Already leading teams and reporting to a CDO or CDAO, they are data professionals who are shaping the future of this industry.

 

Categories and selection criteria explained here.

DataIQ Future leaders header. A female red haired DataIQ Future leader laughing

DataIQ Future Leaders

DataIQ Future Leaders recognises individuals working in data and analytics who are on an upward career trajectory to become the next cohort of senior data leaders. Already leading teams and reporting to a CDO or CDAO, they are data professionals who are shaping the future of this industry.

 

Categories and selection criteria explained here.

DataIQ Future leaders header. A female red haired DataIQ Future leader laughing

Hannah Lee, data scientist, Zurich Insurance

Describe your career to date 

After finishing my A-Levels, I started looking for higher-level apprenticeships that had an element of maths to them. At the time I wasn’t sure what I wanted to do, and apprenticeships seemed like a great alternative to university. 

 

I started at Zurich in 2017 as an actuarial apprentice in the pricing department. This role focused on reporting and dashboarding to deliver insight and monitor our underwriting portfolio. It was a great introduction to the world of insurance and Zurich’s different business areas. I developed a keen interest in data, deriving insight, and creating efficient solutions to problems. 

 

I was then given the opportunity to join the data science team, which seemed like a jump in terms of skill-set but I was keen to learn. I was immediately given the opportunity to work on highly technical projects with real business value, which was great for my development and sense of accountability. 

 

I have now been at Zurich for over five years, currently a data scientist and technical lead on various projects across the business, including the development and deployment of machine learning models which support automation and innovation within the business.

Hannah Lee.JPG

Tell us about the data and analytics resources you are responsible for

My team is responsible for producing data science solutions for the UK business. We are a team of 12 data scientists, machine learning engineers and data science consultants. We develop machine learning and AI models to derive value from data and solve business problems using a scientific approach and utilising advanced technology such as Apache Spark and cloud computing. 

 

As well as the technical development and implementation of data science solutions, we are responsible for scoping and ideating potential new data science initiatives to drive innovation and simplification across the business.

 

Tell us about any ambitions you have in terms of becoming a data leader

I am eager to eventually become a data leader and drive business value using data. I think it’s so important for decision-makers to fully understand data and its capabilities, so I would love to be in a position where I can use my experience to instil a culture of innovation and support data-driven decision-making.

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