Job Title: Data Scientist

Salary: £51,840 to £56,549 plus a Location allowance of £1,721. You will receive £51,840 the band minimum. Progress to the band maximum of £56,549 will be via incremental progression.

Location: Hendon, Sidcup, Westminster, Lambeth

The Metropolitan Police Service

Since its inception in 1829, the mission of the Metropolitan Police Service, “The Met” has been to make London safe for everyone. As London has grown and developed, so has the Met, and is now proudly serving 9 million residents and millions of commuters, visitors, and tourists daily. The Met is undergoing a significant digital transformation to enable a data driven service to dive forward modern policing. As a data scientist, you will deploy your skills at the cutting edge of this transformation, supporting all teams across the Met from the Front Line to our business systems.

About the team

DDAT

The Commissioner and Management Board have determined that the Met will be a data driven organisation. This means treating our data in the same way we treat our people, methods and technology, as a strategic asset.

• Owns and drives the data compliance and analytics agenda
• Provides data science powered insights and analytics in support of Met business areas
• Brings together the accountabilities that are currently dispersed across the Met business areas
• Enables data sharing and collaboration to serve the public and external partners

The Data Science and Engineering team sits in DDAT, at the heart of the Met. Our data scientists, working in partnership with data analysts, engineers, and subject matter experts, provide the valuable data-driven insights to drive the strategic and operational decision making across the Met. They deploy advanced statistical tools, such as machine learning and predictive analytics, to improve the Met’s data capabilities, and create predictions of areas of high risk to inform the deployment of resources for maximum impact. We know professional development is essential to maintain our capabilities and so we offer a range of training and development opportunities as well as time for self-directed learning on the job.

Job description

As a data scientist in the Data Office, you will be engaging and providing advice to users and stakeholders across the Met. You will collect requirements for data science tool development, identifying the underlying causes of problems or inefficiencies. You will use your programming skills to build operational solutions using best in class capabilities. You will become a champion in the use of data to support better operational decision making. You will be a subject matter expert on the use of tools in an ethical and transparent way.

Please click on the below link to view an online candidate information pack that will you give you an insight into the Met, the competency framework we use which shapes our daily work behaviours, the application process and a host of other information, that will help inform and support your application:

https://sscl-innovation.com/MPScandidatepack/

Click the apply now button below and start your career at the Met. Applications will be via a detailed CV, Personal Statement and online application form. Your personal statement should outline why you are interested in the role and how your skills and experience demonstrate your suitability for the role. (NB. Please do not attach 2 copies of your CV).

Completed applications must be submitted by 3rd March 2023.

We view diversity as fundamental to our success. To tackle today’s complex policing challenges, we need a workforce made up from all of London’s communities. Applications from across the community are therefore essential.

As a Disability Confident Committed Employer the Met have committed to ensuring that disabled people and those with long-term health conditions have the opportunities to fulfil their potential and realise their aspirations.

Essential For The Role, e.g. qualifications, licenses, languages, training

Knowledge, skills and experience

Essential:

• A STEM based degree, or equivalent experience
• Excellent numerical, technical, and analytical skills
• Knowledge of a range of data science methods and techniques, e.g. NLP, Regression, Network analysis
• Strong programming skills in Python and/or R
• Ability and versatility to pick up new technologies
• The ability to form effective working relationships across all business groups and external business stakeholders
• Ability to translate complex problems into business solutions and communicate them to none technical stakeholders

Desirable Criteria

• Awareness of data ethics, privacy, and governance
• Experience working with the Agile methodology
• Understanding of front end frameworks to support data science solutions

Additional Information:

• Paper sift will be based on a CV and personal statement.

At interview, candidates will be tested on technical competency, and asked to provide evidence on the following competencies and values from the Competency and Values Framework (CVF) -

• We take ownership (Level 2)
• We support, deliver and inspire (Level 2)
• We are innovative and open-minded (Level 3)
• Met Values: Professionalism