Data scientists & statisticians Work, Jobs in Johnstone, Rfw (with Salaries)

Managing Data Scientist
Barclays —Glasgow
- Azure
- AWS
- Analysis skills
Data Scientist – Data & Analytics Products
Experian —Glasgow
- Full-time
- Hybrid work
- Azure
- Data analysis skills
- SQL
- Annual leave
Quick apply
10d
Machine Learning Engineer
Barclays —Glasgow
- Azure
- AWS
- Machine learning
Applied AI ML Lead - Python & Agentic AI
JPMorganChase —Glasgow
- Full-time
- Java
- Master's degree
- AWS
14d
AI Engineer II
Zonda Home —Glasgow
- £55,000 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Assistant Vice President Transaction Monitoring Analyst,
Barclays —Glasgow
- SQL
- Maths
- Machine learning
Applied AI ML Lead- Agentic AI & Python
JPMorganChase —Glasgow
- Full-time
- Computer Science
- System design
- Master's degree
3d
AI Engineer
Barclays —Glasgow
- AWS
- Machine learning
- Continuous improvement
2h
AI/ML Computational Science Manager
Accenture —Glasgow
- Full-time
- Azure
- AWS
- Machine learning
Senior / Staff Machine Learning Scientist
Chemify Ltd —Glasgow
- Full-time
- Azure
- Doctoral degree
- AWS
Quick apply

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Managing Data Scientist
Barclays —Glasgow
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making.
Lecturer in Statistics (Health/Medical; Data Science)
University of Strathclyde —Glasgow
Salary range: £47,389-£58,228 FTE: 1 (35 hours/week) Term: Open Contract Closing date: 12/06/2026 The Department of Mathematics and Statistics is a…
£47,389 - £58,228 a year

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Managing Data Scientist

Barclays -
Glasgow

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Job details

Permanent

Qualifications

Azure
Spark
Google Cloud Platform
AWS
Analysis skills
Machine learning
Distributed systems
Python

Full job description

Date live: 05/06/2026

Business Area: Group Economic Crime COO

Area of Expertise: Risk and Quantitative Analytics

Contract: Permanent

Reference Code: JR-0000091595

Day-to-Day Responsibilities:

Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases.
Drive end-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation.
Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions.
Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement.
Engage senior stakeholders (1LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment.

Candidate Requirements:

Extensive experience building and deploying machine learning models in production, with strong hands-on Python capability.
Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments.
Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices.
Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability.
Strong stakeholder management skills, able to operate in complex, regulated environments; experience in Financial Crime or related risk domains is advantageous.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

Design analytics and modelling solutions to complex business problems using domain expertise.
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
Ensure all development activities are undertaken within the defined control environment.

Director Expectations

To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
Escalates breaches of policies / procedure appropriately.
Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
Negotiate with and influence stakeholders at a senior level both internally and externally.
Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
Mandated as a spokesperson for the function and business division.

All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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data scientists & statisticians jobs in johnstone, rfw

Managing Data Scientist

Data Scientist – Data & Analytics Products

Machine Learning Engineer

Applied AI ML Lead - Python & Agentic AI

AI Engineer II

Assistant Vice President Transaction Monitoring Analyst,

Applied AI ML Lead- Agentic AI & Python

AI Engineer

AI/ML Computational Science Manager

Senior / Staff Machine Learning Scientist

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