Senior Data Scientist

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:

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.
Collaborates and supports colleagues from across the business, applying advanced analytical techniques to ensure deeper insight to business processes and clients.
Sharing knowledge, techniques, and conducting research to improve and progress the Data & Analytics services.
Coordinate with analytics colleagues to ensure consistent approach to the delivery of insights and analytics.
Develop an understanding of the business, its services and how the business works to identify opportunities for improvement based upon data and analytics, and to ensure that actions and recommendations from analytics and insight provides can be identified.
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 implement Data Science products in a cloud environment, preferably Azure. Use of tools such as Databricks, Auto ML, Azure ML, etc. Important
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 of applying knowledge of statistical analysis techniques, machine learning algorithms and predictive modelling, with a track record of taking models from experimentation to production deployment.
Demonstrated ability to operationalize data science solutions, ensuring models are robust, scalable, and integrated into business processes.
Strong problem-solving and critical-thinking abilities to identify and address business challenges.
Collaborative mindset, with the ability to work effectively in cross-functional teams.
Strong attention to detail and a commitment to delivering high-quality results.
Our Benefits - What We Can Offer You
25 days holidays as standard plus bank holidays - You can ‘buy’ up to 35hrs of extra holiday too.
Generous and flexible pension schemes.
Volunteering days – Two days of volunteering every year for a cause of your choice (fully paid)
Westfield Health membership, offering refunds on medical services alongside our Aviva Digital GP services.

We also offer a wide range of well-being initiatives to encourage positive mental health both in and out of the workplace and to make sure you’re fully supported. This includes our Flexible by Choice programme which gives our colleagues more choice over a hybrid way of working subject to role, team and client requirements.

We have been ranked in the Best Workplaces for Wellbeing for Large Organisations for 2024!

Our responsible business programmes are fundamental to who we are and our purpose. We’re committed to being a diverse and inclusive workplace where our colleagues can flourish, and we have established a number of inclusion network groups across our business to support this aim. 

Our commitment to Social Responsibility, community investment activity and tackling climate change is a fundamental part of who we are. It’s made up of four strands: Our People, Our Community, Our Environment and Our Pro Bono.