10 дней назад
Senior Data Scientist (SC Cleared)
49 500 - 75 000GBP
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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