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10 дней назад

Senior Data Scientist (SC Cleared)

49 500 - 75 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (Machine Learning/Public Sector): Building data science solutions and end-to-end ML pipelines for public sector organisations with an accent on client collaboration, model deployment, and reliable data-driven decision-making. Focus on designing statistical and machine learning models, developing NLP and deep learning solutions, advising on data science environments, and mentoring data teams.

Location: Any UK office hub: Bristol, London, Manchester, or Swansea. Part-time remote working is available for staff.

Salary: £49,500–£75,000 per year

Company

hirify.global helps public sector organisations improve digital services and make informed decisions through modern technology and data systems.

What you will do

  • Work directly with public sector clients, users, and data engineers to understand data and deliver actionable insights.
  • Shape client data strategies and develop end-to-end data science and machine learning solutions.
  • Perform exploratory data analysis, model evaluation, feature engineering, and model deployment.
  • Advise clients on data science practices and help establish effective data science environments.
  • Share knowledge, upskill client teams, participate in hiring, and contribute to the development of the data science capability.
  • Line-manage team members up to mid-level.

Requirements

  • Current SC clearance is ideal; all successful candidates must be eligible for SC clearance.
  • SC eligibility requires five years of UK residency.
  • Strong knowledge of linear algebra, statistics, classification, regression, unsupervised learning, and matrix factorisation.
  • Good working knowledge of Python and its data science ecosystem, including NumPy, SciPy, pandas, scikit-learn, and Matplotlib.
  • Experience implementing end-to-end ML pipelines, deep learning with TensorFlow or PyTorch, NLP, document processing, and model selection and evaluation.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP, along with strong communication, presentation, mentoring, and collaboration skills.

Nice to have

  • Consultancy experience and experience working with public sector organisations.
  • Agile experience with Pairing, Scrum, XP, or Kanban.
  • Experience integrating data with data engineering teams and working in multidisciplinary technology teams.
  • GitHub or Bitbucket knowledge and experience with SparkML.

Culture & Benefits

  • Inclusive and diverse workplace with communities focused on anti-racism, disability, LGBTQIA+ advocacy, neurodiversity, parents and carers, and women in technology.
  • 30 days of paid annual leave and flexible parental leave.
  • Part-time remote working for all staff.
  • Flexible benefits platform with Smart Tech, Cycle to Work, healthcare cash plan, and pension options.
  • Paid counselling plus financial and legal advice, with optional social and wellbeing events.

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