Data Science Specialist

Randstad Digital UK; Slough; Hybrid; GBP 78,000 - 112,000; Full time

Job summary

Randstad Digital UK is seeking a Data Science Operations & Strategy Consultant to join our London team on a hybrid basis. You will partner with leadership to optimize data science delivery, governance, and operating models, balancing technical rigor with strategic business outcomes.

Ideal candidates have a strong ML background, production-grade Python experience, and a track record of shaping operating models and roadmaps.

Qualifications

• Master’s degree in Data Science or a related field with significant ML focus.
• Hands-on data science experience with practical ML.
• Production-grade Python coding with testing, logging and deployment.

Responsibilities

• Optimize Operations: Assess and refine current delivery processes, governance and operating models to boost collaboration across cross-functional teams.
• Strategic Roadmap: Review roadmaps, optimize short-term resourcing, and plan a medium-term team development plan for 2027 P&L.
• Standards & Best Practices: Define end-to-end standards for data science development, testing and deployment.
• Team & Capability Design: Define future team structures, roles and hiring strategies for permanent talent and contractors.
• Mentorship: Coach team members through process updates and modern cross-functional ways of working.

Skills

Data Science & ML

Software Engineering

Operations & Strategy

Education

Master’s degree in Data Science or related field

Tools

Python

Git

AWS

Docker

Kubernetes

CI/CD

Job description

We're Hiring: Data Science Operations & Strategy Consultant

Hybrid Working: London 3 days/week in-office

Contract: 6 months

My client is looking for an experienced Data Science Operations & Strategy Consultant to join our team in London on a hybrid basis.

Client is a data-driven market insights and forecasts enable global organizations to navigate risks and make strategic investment decisions. As we continue embedding and scaling our Data Science capabilities across the business, we are seeking a senior consultant to advise business leadership on optimizing our operating model, team structure, delivery processes, and stakeholder management.

Key Responsibilities

• Optimize Operations: Assess and refine current delivery processes, governance, and operating models to reduce friction and boost collaboration across cross-functional teams (Product, Content, and Software).


• Strategic Roadmap: Review delivery roadmaps, optimize short-term resourcing, and help construct a medium-term team development plan for 2027 P&L planning.


• Standards & Best Practices: Refine end-to-end standards for data science development, testing, and deployment to balance technical rigor with commercial delivery.


• Team & Capability Design: Collaborate with leadership to define future team structures, role designs, and hiring strategies for permanent talent and contractors.


• Mentorship: Coach existing team members through process updates and modern cross-functional ways of working.

Skills & Qualifications

• Data Science & ML Expertise: Strong academic background (e.g., Master’s degree in Data Science or a scientific discipline with significant ML focus) alongside practical data science experience.


• Software Engineering Discipline: Proven ability to write production-grade Python code, enforce unit testing, exception handling, and logging, and manage full deployment without handing prototypes off to separate teams.


• Operations & Strategy Track Record: Experience assessing and improving operating models, delivery processes, and team effectiveness within data-driven environments.

Technical Stack:

• Core: Python, Git


• Cloud & DevOps: AWS, Docker, EKS, Kubernetes awareness, and automated CI/CD deployment pipelines


• Concepts: Configuration management (separating configuration from code), dimensionality reduction, and prompt engineering/LLMs


• Communication: Exceptional written and verbal skills, with a track record of producing clear technical documentation and aligning cross-functional stakeholders.

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