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19 часов назад

Data Scientist - Security Data & AI Lab

48 987 - 54 430GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist - Security Data & AI Lab (Machine Learning/Agentic Systems): Building and integrating traditional machine-learning and agentic systems to detect, mitigate, and prevent security threats in a data-rich banking environment with an accent on unsupervised ML, model explainability, and MLOps. Focus on translating security and business problems into actionable data-science solutions, querying large datasets, and communicating analytical findings to technical and non-technical audiences.

Location: Leeds, Manchester or Edinburgh, UK; hybrid working with at least two days per week or 40% at an office site

Salary: £48,987–£54,430 per year

Company

hirify.global is a major UK banking organisation developing financial services while supporting customer, colleague and asset security.

What you will do

  • Collaborate with data engineers, DevOps engineers and security domain experts to deliver data-science solutions across security areas.
  • Convert internal customer and stakeholder problems into data-driven solutions with measurable business impact.
  • Build and maintain traditional machine-learning and agentic systems.
  • Integrate models into existing systems using MLOps and model explainability so insights are actionable.
  • Develop security domain knowledge and communicate data-science concepts through demonstrations and show-and-tells.
  • Participate in planning, prioritisation, dependency management and team ceremonies.

Requirements

  • Experience delivering data-science or analytics projects from problem definition through implementation, including articulating measurable business impact.
  • Solid understanding of machine learning and underlying statistics, including fundamentals needed for design decisions with unsupervised ML models.
  • Knowledge of foundational model systems, agent frameworks and best practices for building agents.
  • Experience with Python and common data-science libraries including pandas, scikit-learn, NumPy and visualisation frameworks.
  • Strong SQL skills and experience querying and transforming large datasets, ideally with BigQuery, Snowflake or similar data warehouses.
  • Working knowledge of cloud platforms and infrastructure.
  • Effective communication skills for explaining technical concepts and analytical findings to technical and non-technical audiences.
  • Strong problem-solving skills and a structured approach to turning business challenges into data-driven solutions.
  • Curiosity and an innovation-focused approach, with motivation to stay current with industry developments.

Culture & Benefits

  • Inclusive environment focused on diversity, equity, inclusion, learning and development.
  • Reasonable workplace adjustments are available for disabilities, long-term health conditions and neurodivergence, including flexibility in office attendance, location and working patterns.
  • Pension contribution of up to 15%, annual performance-related bonus and share schemes including free shares.
  • 28 days of holiday plus bank holidays, adaptable lifestyle benefits and wellbeing initiatives.
  • Generous parental leave policies.

Hiring process

  • Applicants with relevant transferable experience are encouraged to apply even where the advert references specific years of experience.
  • Reasonable adjustments are available throughout the recruitment process; applicants can request the support they need.

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