We’re a national law firm with a local reach. Our legal experts are here for you. Whether it’s personal or business, we understand that everyone’s situation is different. But we’re more than just a law firm – we’re a team of people working together to help individuals and businesses navigate life’s ups and downs. Working here you’ll feel a part of our friendly and inclusive environment.

We’ll value you for who you are and what you bring. We support each other and push boundaries to achieve incredible things and make a real difference to our clients and communities.

We're always looking to support our colleagues to work in a way that works best for them and everyone else, including our clients, the business and the regulators. Please speak to a member of our Recruitment and Onboarding team for more information.

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.
• 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.

• 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.

• 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.

As part of the Irwin Mitchell Group’s on-boarding process all successful applicants are required to complete the group’s employment screening process. This process helps to ensure that all new employees meet our standards in relation to honesty and integrity therefore protecting the interests of the Group, colleagues, clients, partners and other stakeholders.

We carry out pre employment screening to establish your eligibility to work in the UK, criminal record and financial checks ­with our trusted 3rd parties.

The employment screening process will fully comply with Data Protection and other applicable laws.

Irwin Mitchell LLP is an equal opportunity employer.