Senior Data Scientist

Senior Data Scientist

London

Up to £75,000 + Excellent Benefits

Our client, a very highly regarded technology consultancy firm, is seeking an exceptional Data Scientist to join their team.

The ideal candidate would be a highly collaborative and personable individual with a passion for technology, who enjoys working on complex data problems, and is equally comfortable building prototypes or delivering presentations.

This would be a London based role with hybrid working options available.

Key Responsibilities

• Leading client projects and providing subject matter expertise.
• Solving problems using data science techniques, in a scientifically robust fashion.
• Working with various forms of data (e.g. unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g. table, key-value pair, graph) for efficient data science use.
• Investigating and thoroughly analysing data, applying statistical and evidence-based techniques to inform insights and actions from it.
• Building maintainable code that uses existing data science libraries, implement existing data science techniques, or implement novel techniques.
• Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms.
• Developing scalable models and algorithms that can be deployed into production environments.
• Supporting client engagements, including pitches and presentations.

Key Requirements

• 5+ years in a data science related role, with a public sector or consulting background.
• Experience of working on cloud-based infrastructure (e.g. AWS, Azure, GCP), and using CI/CD tooling to analyse, build, test and deploy your code, with proven experience in their technologies.
• Experience in database technologies (e.g. SQL, NoSQL such as Elasticsearch and Graph databases).
• A good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting.

Keywords: Senior Data Scientist; Data Scientist; Data Science; Data Engineering; Machine Learning; Technology; Data; Python; STEM

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