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1–2 jobs· newest first

Data Scientist
M&G plc · Kildean, United Kingdom+3 more
Consulting Project Management
Microsoft · Bangalore, India

+10K new in the last hour

Data Scientist

M&G plc · Posted Nov 4, 2026

Kildean, United Kingdom +3 more

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Design, build, and optimise data solutions for actuarial modelling and assumption setting within the financial services domain.

Locations (4)

Kildean, United Kingdom
Edinburgh, Scotland, United Kingdom
Reading, England, United Kingdom
Stirling, Scotland, United Kingdom

Responsibilities

Design, build, and maintain scalable data pipelines
Ensure data quality, integrity, and consistency
Collaborate with stakeholders to translate data requirements
Optimise data systems and processes
Provide technical expertise and guidance on data science approaches

Consulting Project Management

Microsoft · Posted Nov 3, 2026

Bangalore, Karnataka, India
8+ years

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Skills

Data pipeline development Data modelling and architecture Programming and scripting for data processing Data science and machine learning Data governance and quality assurance Problem-solving and analytical thinking Stakeholder engagement Continuous improvement and innovation Performance tuning and optimisation People management Azure Databricks Spark Spark SQL Python pyspark

Benefits

Pension scheme up to 18%
Share Save and Share Incentive Plan
38 days annual leave
Inspiring Families policy
Private Healthcare

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Solution Architect responsible for translating client business requirements into system, application, or process designs for large complex technology solutions and architectures, acting as client advocate and leading project governance.

Responsibilities

Gather customer/partner insights from stakeholders
Shape and form project definition and execution
Define and document architecture
Communicate value proposition and project approach
Work with business sponsor and stakeholders to gather and ratify requirements

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field
Master's Degree in Computer Science, Information Technology, Engineering, or related field

Skills

Enterprise-scale technical experience with cloud and hybrid infrastructures Architecture designs Database migrations Data warehouse platform design Transactional, temporal, time series, structured and unstructured data handling Big Data and Data Warehouses Azure Synapse Analytics Snowflake GCP Big Query AWS Redshift Azure Data Lake Azure Data Explorer Advanced Analytics Azure Data Bricks PowerBI Tableau Data Science and Machine Learning Azure ML ML Server TensorFlow Cloud infrastructure Storage optimization Query optimizations DevOps/MLOps SQL development Database administration Cloud platforms such as Azure Data security measures and compliance regulations Data integration tools Azure DevOps MLOps SQL

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