Data Scientist

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 Summary

• As Data Scientist you will use statistical techniques and machine learning algorithms to analyse data and extract insights. Building predictive models and algorithms to solve specific business problems or optimise processes. Presenting findings and insights to stakeholders through clear and effective visualisations. Working with cross-functional teams to understand business needs and develop data-driven solutions. Keeping up to date with the latest advancements in data science, tools, and techniques. Ensuring data privacy and ethical use of data in all aspects of analysis and decision making.
• Our team is passionate about leveraging data to drive data-led decision making and drive business success, whilst maintaining the highest standards of data governance and compliance. We foster a supportive and inclusive work environment where employees are encouraged to grow and thrive.
• You’ll be detail orientated, with a strong understanding of data governance principles and a commitment to excellence. We’re looking to shape the future of data governance through proactive programmes of work, and we’re hoping the role holder will be an active positive influence on these projects.
• You will have the ability to evaluate problems, explore solutions and make informed decisions based on data. You will have the capability to identify business problems, formulate hypotheses and develop data-driven solutions. With effective communication skills to explain complex technical concepts to non-technical colleagues across cross-functional teams. Eager to explore data, ask questions and uncover insights that drive business value. You’re flexible to adapt to new tools and techniques, innovating in a rapidly evolving field. You’ll work collaboratively within the data and insight team, contributing to our shared goals. Continuously developing and refining these skills is essential for success within the role.

What You'll Do

• Data Analysis: Gathering and preparing data for analysis, ensuring its quality and integrity. Gathering and preparing data for analysis, ensuring it quality and integrity. Building predictive models and algorithms to solve specific business problems or optimise processes.
• Data visualisation: Presenting findings and insights to stakeholders through clear and effective visualisations. Working with cross-functional teams to understand business needs and develop data-driven solutions.
• Data standards and security: Follow and maintain data standards, ensuring data privacy and ethical use of data in all aspects of analysis and decision making.

Who You Are

• Proficient in languages like Python, R, or SQL for data manipulation, analysis and modelling.
• Adept understanding of statistical methods and techniques for analysing data distributions, correlations, and trends.
• Knowledge of machine learning algorithms and techniques for predictive modelling, classification, regression, clustering, and natural language processing.
• Ability to create clear and effective visualisations using tools like PowerBI or Tableau to communicate insights.
• Familiar with big data frameworks like Azure or distributed computing platforms for handling large datasets.
• Skills in cleaning data, transformation, data engineering to prepare data for analysis.
• Understanding of database systems and query languages (e.g. SQL) for data retrieval and storage.

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 for.