Senior Data Scientist

Irwin Mitchell; Birmingham; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the UK is seeking a Data Scientist to enhance their data-driven decision-making capabilities. The successful candidate will design and implement data solutions, apply advanced analytics, and work collaboratively across teams to turn data insights into business improvements. This role offers a dynamic environment where innovation is encouraged and well-being is prioritized.

Benefits

25 days holidays plus bank holidays

Generous pension schemes

Paid volunteering days

Health membership benefits

Qualifications

• Experience in Python, R, and SQL is required.
• Proven background in machine learning and data visualization.
• Strong problem-solving and analytical skills are essential.

Responsibilities

• Design and develop data science solutions for business opportunities.
• Collect, clean, and transform large data sets for analysis.
• Build and validate predictive models aligned with business objectives.

Skills

Python

R

SQL

Data Manipulation

Data Visualization

Machine Learning

Statistical Analysis

Problem Solving

Collaboration

Attention to Detail

Tools

Azure

Power BI

Databricks

Job description

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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 can be effectively implemented.

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 can be effectively implemented.

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. Use of 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 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.