Data Scientist

Location

Bristol, London, Warrington

 

About the job

Summary

Join us and be part of a fast-paced team working together to fight serious and organised crime across the UK. If you like a challenge and enjoy a varied workday, you’ll feel at home here. At the NCA we put our people first, providing opportunities for you to grow and succeed as individuals and working together as part of a team. Love learning? Great, we’re looking for self-starters who we can support through our professional communities and training to further your knowledge and development. We’re growing and evolving, and we need people like you to help us achieve our ambition of putting data exploitation at the heart of our fight against serious and organised crime.

Data Scientists collate and manipulate large datasets to create analytical products that inform NCA operational delivery. We’re looking for someone to apply cutting-edge approaches to managing and interrogating data and contribute to the embedding of data science across the Agency.

 

Job description

The NCA’s mission is to protect the public and to lead the UK’s fight against serious and organised crime (SOC). By joining us in NDEC, you are not only joining a key component of the NCA’s Operations - Intelligence Command, but are also joining part of the UK’s national security capabilities focused on tackling the greatest threats to the UK population and interests through the use of data exploitation and data science. This is an area that has grown significantly in recent years and will continue to grow as we adapt and respond to the ever-increasing expansion of technology and data in our personal and commercial lives.

NDEC are, and will be, at the heart of this response and you will be joining a team of dedicated and diverse professionals who are all committed to making NDEC and the NCA a success.

What are we looking for?
• Knowledge of efficient and effective ways of using data science to tackle business and organisational challenges.
• Skills in applying data science techniques to present challenges and an ability to communicate through data visualisation techniques and other methods.
• Strong stakeholder management and consultative skills.
• Experience managing, coaching and mentoring technical team members and/or a professional interest in developing management skills.
• An understanding of ethical considerations of potential data science approaches, and the legislation applicable in this area.
 

Responsibilities

What will I be doing?

• Data Management: Gather data from a variety of sources and manage large datasets in accordance with best practice.
• Software Analysis: Apply appropriate analytical methods and software tooling to datasets and articulate the strengths and weaknesses of each approach.
• Data Manipulation: Manipulate large datasets to solve analytical challenges and provide support to intelligence-led enforcement activity.
• Solution Management: Develop scientifically robust and innovative solutions to technical challenges.
• Data Handling: Develop and implement processes for direct data capture and analysis.
• Quality Assurance: Ensure the quality, secure handling and dissemination of data and analytical products, whilst ensuring confidentiality and sensitivity in line with NCA policy and enterprise governance standards.
• Team Management: Line manage, support and mentor technical members of staff.
• Coaching: Provide guidance and support to the technical team members, helping them scope solutions and pursue new ways of working with data and tools.
• Collaboration: Contribute to the sharing and dissemination of knowledge and findings across the broader analytical and NCA community as appropriate.
• Communication: Build working relationships with colleagues across the NCA’s technical community to develop skills and cross-functional working.

***All NCA officers must hold SC Enhanced upon entry as a minimum. To meet the National Security Vetting requirements for this role you will need to have resided in the UK for a minimum of 3 out of the past 5 years. For more information please see the Candidate information Pack***

Qualifications

The following qualifications/skills are essential to the role and proof will be required at interview:

• 2:1 in a STEM degree

Please ensure the dates of any accreditations you are relying on, are entered on to the CV.

Should you progress to the assessment stage of the process, you will be required to provide a copy of the original certificate.

Failure to provide evidence at interview may result in your application not progressing to the next stage.

Behaviours

We'll assess you against these behaviours during the selection process:

  • Changing and Improving
  • Leadership

Technical skills

We'll assess you against these technical skills during the selection process:

  • Programming / Computing: Experience of using scripted programming (e.g. R or Python) to solve data science problems in a professional context
  • Data: Evidence that they have autonomously designed data processing to support analysis.
  • Statistics: Evidence of explaining analysis to influence non-technical stakeholders. Has autonomously designed analysis to support a decision.

Benefits

If you are an active police pension member immediately prior to joining the NCA, you can continue your membership throughout your employment with us as if you were a serving police officer. If you do remain an active member and subsequently return to a police force, you should be able to continue your membership there too.

All officers in the NCA are members of the UK Civil Service. You will be eligible for:
• Civil Service pension scheme
• 26 days annual leave rising to 31 on completion of 5 years continuous service
• Training and development opportunities
• Cycle2work scheme

We take the welfare of NCA officers very seriously. All staff have access to Occupational Health services and there are a number of staff representative groups. We also have a range of sporting and other activities on offer.

We can provide flexible working arrangements if the role in question is suitable. These include flexi-time, job sharing and compressed hours (working contracted hours over a shorter period).

Apply now!