Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation.
Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.
Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
Job Purpose
As Data Science lead you will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product. This could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, and econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data-driven way. Good customer and commercial outcomes will be executed through your analytics. Proven incremental benefit through well-structured data science, analytics, and modelling will help promote the benefits of the function.
You will work collaboratively with Proposition and Pricing teams, Marketing, Risk, Finance, Customer Service, and IT & Change to set out and deliver a long-term strategy for growth using data. You will share this vision and progress with the senior leadership team and the Executive. You will create and maintain a series of use cases, which showcase the use of data science, artificial intelligence, and machine learning. You will have substantial management experience, confident working with senior leaders, Executive and Board members. In addition to management experience, marketing experience is important, with a track record of driving growth using multiple levers and a strong ability to drive decisions with data and a history of management.
You will be responsible for influencing product, marketing, and business outcomes, having the autonomy to make things happen and must obsess about having business impact. You will drive a high standard of work and hold a high bar for impact. You will help to support the requirements of a modern data platform to underpin the company’s growth through data services, ensuring standards and technologies create efficient analysis for transactional and strategic modelling. You will drive innovative data science techniques into the business, utilising AI & ML technologies.
You will be working collaboratively across a Data Council to deliver strategic data-driven initiatives. You’ll have the opportunity to make a difference with your skills and you’ll mentor team members to help them develop, both through direct and matrix management. You will have a direct impact on increasing data literacy within CLUK.
This role requires a deep understanding of data science techniques and services. The role is a technical role and as such you will have a wealth of experience in driving data-driven decision-making across the organisation. You will be able to tackle complex problems using a range of methods, guiding your team through a constant test and learn culture, helping to raise the bar and innovate.
Duties/Responsibilities
Data Science strategy, vision, and roadmap:
Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Identify use cases that support the long-term customer and commercial strategy within the business. Prioritise cases based on good customer outcomes, business objectives and customer experience. Business requirements and data development through Data Science:
Collaborate with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Work closely with the IT and change functions in an agile environment, participating in sprints, backlog and daily stand-ups, as well as providing data science oversight to the product owner SMEs. You will be expected to provide guidance and clarification on product requirements, review and approve deliverables and ensure timely and high-quality product releases for the business. Managing a team of Data Scientists:
Day-to-day management of a team of data science specialists. Help the team to determine the best route for tackling use cases (which might be determined by understanding the scope, identifying possible techniques and approaches, and outlining both the business and technical advantages or drawbacks to each). Improving data literacy across the business:
Engage with both technical and non-technical audiences to explain the business value of data science projects. Project delivery:
Build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Will include business as usual as well as special projects.
Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research). Experience of “in the field” practitioner experience of various analytical methods including Machine Learning & Artificial Intelligence. Experience of Business Analytics. Experience of stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data-driven reasoning. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that’s regularly reviewed. As a Canada Life UK colleague, you’ll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development. How we work at Canada Life Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That’s why we offer a range of training, flexible working and opportunities to grow and develop. Diversity and inclusion Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we’re making in DEI, and we continue for it to be a significant focus. “At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all.” Nick Harding, Chief People Officer, Canada Life UK We appreciate that everyone has different work and life responsibilities. We’re happy to discuss flexible working arrangements, including part-time, for any of our roles should this be a requirement.
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Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Identify use cases that support the long-term customer and commercial strategy within the business. Prioritise cases based on good customer outcomes, business objectives and customer experience. Business requirements and data development through Data Science:
Collaborate with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Work closely with the IT and change functions in an agile environment, participating in sprints, backlog and daily stand-ups, as well as providing data science oversight to the product owner SMEs. You will be expected to provide guidance and clarification on product requirements, review and approve deliverables and ensure timely and high-quality product releases for the business. Managing a team of Data Scientists:
Day-to-day management of a team of data science specialists. Help the team to determine the best route for tackling use cases (which might be determined by understanding the scope, identifying possible techniques and approaches, and outlining both the business and technical advantages or drawbacks to each). Improving data literacy across the business:
Engage with both technical and non-technical audiences to explain the business value of data science projects. Project delivery:
Build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Will include business as usual as well as special projects.
Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research). Experience of “in the field” practitioner experience of various analytical methods including Machine Learning & Artificial Intelligence. Experience of Business Analytics. Experience of stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data-driven reasoning. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that’s regularly reviewed. As a Canada Life UK colleague, you’ll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development. How we work at Canada Life Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That’s why we offer a range of training, flexible working and opportunities to grow and develop. Diversity and inclusion Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we’re making in DEI, and we continue for it to be a significant focus. “At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all.” Nick Harding, Chief People Officer, Canada Life UK We appreciate that everyone has different work and life responsibilities. We’re happy to discuss flexible working arrangements, including part-time, for any of our roles should this be a requirement.
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