pythonsqldata sciencepandascloudmlopsmachine learningscikit learnagentic systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
£49к-54к/год
£66к£170кмедиана£210к
По похожим ролям (15) ~ £170к/год
На СНГ рынке: $3.6к/мес ($2.6к - $4.7к)
84
Хорошая вакансия
развернуть
Чётко описанная роль в крупном банке: прикладная работа с ИИ в сфере безопасности и сильный пакет льгот, хотя в большой компании может быть больше процессов и медленнее изменения.
Кликните для подробной информации
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →