Managing Data Scientist in Glasgow

Managing Data Scientist in Glasgow

Glasgow Full-Time 75600 - 92400 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Lead the UK Financial Crime ML portfolio and drive model lifecycle ownership.
  • Company: Join Barclays, a leader in financial services with a commitment to innovation.
  • Benefits: Competitive salary, career development, and a dynamic work environment.
  • Other info: Collaborative culture focused on growth and compliance in a regulated environment.
  • Why this job: Make a real impact in financial crime prevention using cutting-edge machine learning.
  • Qualifications: Extensive experience in ML models, Python, and team management required.

The predicted salary is between 75600 - 92400 £ per year.

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.
  • Driveend-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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Managing Data Scientist in Glasgow employer: 慨正橡扯

At Third Bridge, we are not just offering a job; we are providing a career launchpad in a vibrant and fast-paced environment. With a strong focus on employee growth, our Client Services Associate role allows you to develop essential skills while working with top-tier clients, all within a supportive culture that values work-life balance and personal development. Join us to accelerate your career and enjoy comprehensive benefits, including generous vacation days and the flexibility to work from anywhere for a month each year.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Managing Data Scientist in Glasgow

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We think you need these skills to ace Managing Data Scientist in Glasgow

Machine Learning
Python
Distributed Computing (e.g., Spark)
Cloud Platforms (e.g., AWS, Azure, GCP, Databricks)
MLOps Practices
Team Management
Stakeholder Management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 慨正橡扯. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

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Brush Up on Your Statistics

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Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.