Senior Data Scientist

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Our vision is to put data at the heart of everything we do, to unleash its potential across the business and enable data-led decisions that will increase the value of our services to clients, colleagues, and communities.

Key Responsibilities:

• Design and develop data science solutions that address opportunities defined across the business.
• Collect, clean, and transform large and complex data sets from various sources to prepare them for analysis and modelling.
• Apply advanced statistical and machine learning techniques to identify patterns, correlations, and trends in the data.
• Build and validate predictive models, algorithms, and statistical analyses ensuring they are robust, scalable, and aligned with business objectives.
• Collaborate with engineering and data platform teams to implement CI/CD pipelines, model monitoring, and automated retraining workflows to ensure business value.
• Utilise data visualisation tools to present findings in a clear and concise manner.
• Manage own workloads to deliver projects at pace and to a high quality.
• Collaborate and support colleagues from across the business, applying advanced analytical techniques to ensure deeper insights into business processes and clients.
• Share knowledge, techniques, and conduct research to improve and progress the Data & Analytics services.
• Coordinate with analytics colleagues to ensure a consistent approach to the delivery of insights and analytics.
• Develop an understanding of the business, its services, and how it operates to identify opportunities for improvement based on data and analytics, ensuring that actions and recommendations from analytics provide value.

About You

Your Role

and What You'll Be Doing

Our vision is to put data at the heart of everything we do, to unleash its potential across the business and enable data-led decisions that will increase the value of our services to clients, colleagues, and communities.

Key Responsibilities:

• Design and develop data science solutions that address opportunities defined across the business.
• Collect, clean, and transform large and complex data sets from various sources to prepare them for analysis and modelling.
• Apply advanced statistical and machine learning techniques to identify patterns, correlations, and trends in the data.
• Build and validate predictive models, algorithms, and statistical analyses ensuring they are robust, scalable, and aligned with business objectives.
• Collaborate with engineering and data platform teams to implement CI/CD pipelines, model monitoring, and automated retraining workflows to ensure business value.
• Utilise data visualisation tools to present findings in a clear and concise manner.
• Manage own workloads to deliver projects at pace and to a high quality.
• Collaborate and support colleagues from across the business, applying advanced analytical techniques to ensure deeper insights into business processes and clients.
• Share knowledge, techniques, and conduct research to improve and progress the Data & Analytics services.
• Coordinate with analytics colleagues to ensure a consistent approach to the delivery of insights and analytics.
• Develop an understanding of the business, its services, and how it operates to identify opportunities for improvement based on data and analytics, ensuring that actions and recommendations from analytics provide value.

About You

• Expert proficiency in programming languages such as Python, R, or SQL.
• Significant experience with data manipulation, data wrangling, and data visualization tools (e.g., pandas, NumPy, Matplotlib).
• Experience of developing and implementing Data Science products in a cloud environment, preferably Azure, using tools such as Databricks, Auto ML, Azure ML, etc.
• Proven experience in developing, deploying, and maintaining machine learning models in production, with a strong emphasis on MLOps best practices including CI/CD pipelines, model monitoring, and lifecycle management.
• Knowledge of Power BI or other data visualisation tools.
• Experience applying statistical analysis techniques, machine learning algorithms, and predictive modelling, with a track record of taking models from experimentation to production deployment.
• Ability to operationalize data science solutions, ensuring models are robust, scalable, and integrated into business processes.
• Strong problem-solving and critical-thinking skills to address business challenges.
• Collaborative mindset, with the ability to work effectively in cross-functional teams.
• Strong attention to detail and a commitment to high-quality results.

Our Benefits - What We Can Offer You

• 25 days holidays plus bank holidays, with options to buy up to 35 additional hours.
• Generous and flexible pension schemes.
• Volunteering days – Two paid days annually for a cause of your choice.
• Westfield Health membership, offering refunds on medical services along with Aviva Digital GP services.
• Well-being initiatives supporting mental health, including our Flexible by Choice programme for hybrid working.
• Recognition in the Best Workplaces for Wellbeing 2024.

We are committed to diversity, inclusion, social responsibility, community investment, and tackling climate change through our core values and initiatives.

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