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Senior Data Scientist

Job Location: Hybrid  |  London
Salary & Benefits: Up to £59k per annum + bonus and bens
Tags: Azure  |  Fabric  |  Python  |  R  |  Synapse  |  Tableau
Be part of a major data transformation journey!

If you’re a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you!

This is a fantastic opportunity to join our client at the start of its major data transformation journey.

Their move to the cloud with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data science team.

The role.

We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation.

You will

  • Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance.
  • Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights.
  • Maintain and further develop pricing analytics models and web applications for internal stakeholders.
  • Drive segmentation modelling projects, improving customer targeting and personalization strategies.
  • Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric.
  • Play a key role in cloud migration projects, supporting the organization’s transition to Azure-based analytics.
  • Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape.
  • Champion coding best practices, version control, and testing within the data science team.
  • Collaborate with internal teams and external partners, ensuring alignment with business goals.

About you.

We would love to talk to you if you have the following skills and experiences

  • Strong experience in machine learning, statistical methods, and predictive modelling.
  • Expertise in programming with Python or R, including optimization, modularization, and best practices.
  • Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms.
  • Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable.
  • Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI.
  • Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus.
  • Knowledge of Generative AI and experience using LLMs in data workflows.
  • Strong stakeholder management and communication skills, translating complex findings into actionable insights.
  • Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.).

The benefits.

  • Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem.
  • Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse.
  • Competitive salary + 10% discretionary bonus.
  • Exceptional pension benefits with a 27% Civil Service pension scheme.
  • A hybrid working model with flexibility.
  • Collaborate with cross-functional teams and external data partners.
  • Excellent career development opportunities with continuous learning and leadership potential.

This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you’re passionate about data science, cloud transformation, and predictive modelling, we’d love to hear from you!

Apply today and be part of our exciting data journey!

Ignite Digital Talent is committed to creating equal opportunities and welcomes applications from all qualified individuals eligible to work in the UK, regardless of colour, ethnic or national origin, race, gender, sex, disability, age, sexual orientation, religious or political beliefs, marital status, or family circumstances

 

Senior Data Scientist

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