Senior Data Scientist - Cloud Analytics & AI Focus

Ignite Digital; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

10% discretionary bonus

27% Civil Service pension

Hybrid working model

Career development opportunities

Collaboration with external data partners

Job summary

A dynamic tech company in Greater London seeks a Senior Data Scientist to lead data transformation initiatives in a cloud-first environment. The ideal candidate will have a strong background in machine learning and predictive modelling, alongside expertise in Python or R. Responsibilities include developing and optimizing reporting pipelines, predictive models, and pricing analytics. They will work with cutting-edge technologies like Azure, Fabric, and Synapse, and contribute to improving customer insights and data integration.

Qualifications

• Strong experience in machine learning and predictive modelling.
• Proficiency in Python or R for data programming.
• Hands-on SQL experience and cloud platform exposure.

Responsibilities

• Lead automated reporting pipelines ensuring quality and performance.
• Build and deploy predictive models, enhancing forecasting.
• Develop pricing analytics models for internal stakeholders.
• Drive data segmentation projects for customer targeting.

Skills

Machine learning and statistical methods

Predictive modelling

Programming in Python or R

SQL and relational databases

Data visualization with tools like Power BI

Stakeholder management

Education

Degree in a numerate or statistical discipline

Tools

Azure Data Services

Fabric

Synapse

Job description

A dynamic tech company in Greater London seeks a Senior Data Scientist to lead data transformation initiatives in a cloud-first environment. The ideal candidate will have a strong background in machine learning and predictive modelling, alongside expertise in Python or R. Responsibilities include developing and optimizing reporting pipelines, predictive models, and pricing analytics. They will work with cutting-edge technologies like Azure, Fabric, and Synapse, and contribute to improving customer insights and data integration.