Description
Salary: The starting salary is £60,893, which includes allowances totalling £2,928.The salary is broken down as £57,965 basic salary, which will increase annually until you reach the top of the scale £63,230 Plus, a location allowance of £1,928 and a non-pensionable allowance of £1,000.
Location / Hybrid Working:
The primary Met Location for this role is either Lambeth, Sidcup or Hendon. Travel across the Met Estate, to attend meetings as required by the business, is expected.
Security Clearance:
This post requires access to the most sensitive intelligence material on a daily basis. Applicants must hold or be prepared to undergo National Security Vetting (NSV) Security Check (enhanced) (SC(e)) level before taking up the post.
The Role:
Policing London is a hugely complex challenge that evolves every day. To make sure the Met is up to the task, we need the right IT and systems across our organisation. As a Senior Data Scientist, you will help to enable us to do our best for the London area. Join us and play your part in making London the safest capital in the world and delivering ‘More Trust, Less Crime and High Standards’.
As a member of the Met, you will also enjoy great benefits including annual leave, civil service pension arrangements, maternity/paternity support, as well as being part of a continuous learning culture.
Digital, Data and Technology (DDaT)
The mission of Digital, Data and Technology (DDaT) is to provide the Met with information (and specifically data), communications and technology to help frontline officers and Met staff do their jobs more efficiently, in order to deliver the New Met for London plan. In other words, DDaT is about “passionately delivering trusted technology for precise data driven policing”.
As well as keeping up to speed with developments in technology and making recommendations for new equipment and systems that will help modernise policing, DDaT also comprises the Data Office which:
- Owns and drives the data compliance and analytics agenda.
- Brings together the accountabilities that are currently dispersed across the Met business areas.
- Consolidates and further develops existing Met data and insight services.
- Enables data sharing and collaboration to serve the public and external partners.
DDaT is committed to creating an inclusive working environment. We support hybrid working, and the hiring manager will be happy to discuss arrangements for this role.
Job Purpose
As a senior data scientist in the Data Science team, you are an expert in your field and ready to engage with the business to understand their needs and identify the most appropriate response. You have the responsibility for managing and delivering projects, maintaining the existing products and identifying new opportunities.
Our roles are aligned to the HMG DDaT Capability Framework, and this role relates to a Principal Data Scientist.
At this role level, you will:
- have a broad knowledge of data science techniques, use cases and potential impact, as well as the tools and technologies
- have extensive experience in scoping, designing and delivering data science outputs and products
- work collaboratively with a range of experts in support of organisational objectives
- communicate effectively and challenge delivery plans and priorities
- appreciate and understand data ethics, data preparation and manipulation
- appreciate and understand delivery methods, and how to deliver supported solutions at scale
- be a Subject Matter Expert on ethical use of AI and AI–enabled technologies
- more information can be found at: https://www.gov.uk/guidance/data-scientist
Key Role Responsibilities
- Take ownership of Data Science products across the whole project lifecycle
- Engage with senior stakeholders to understand business needs and translate these into technical requirements
- Manage, mentor and develop data scientists in the team
- Build relationships across forces and external partners to promote knowledge sharing and re-use of products
- Provide advice and assurance on new project plans and engage with vendors to understand offerings
- Present at conferences as a representative of the team
- Optimise product suite for a cloud architecture
- Engage across internal teams to align required project resources as necessary and ensure required data are fit for purpose
Essential Criteria:
- Excellent numerical, technical, and analytical skills.
- Evidence of practical application of several data science methods and techniques, e.g., NLP, Regression, Network analysis, working at scale.
- Programming skills in Python & SQL.
- The ability to form effective working relationships across all business groups and external business stakeholders.
- Experience in managing data ethics, privacy and governance within projects.
Qualifications:
- A STEM based degree, or equivalent experience.
Desirable Criteria:
- Experience working with the Agile methodology.
- Understanding of front-end frameworks to support data science solutions.
- Experience working within an Azure Databricks environment.
- Senior stakeholder engagement, presenting in a variety of settings.
- An understanding of Intelligence and/or operational policing would be advantageous.
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