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Data Science Team Lead

Type: full
Location: London
Reference: CPC273

What will you be doing?

The Team Lead will work closely with our Head of Data Science and Software to manage and lead the data science team, who have diverse technical backgrounds and focuses. They will develop and grow the team’s capability and strength to deliver across our projects ranging from human-centric data strategy, with a ‘discovery’ focus through to applied advanced statistical modelling. Working alongside other programme leads, and with close alignment especially to the Software Engineering team, they will leverage and support the Data Science team to successfully deliver the programme of work to an expected quality, taking ownership over this and troubleshooting where necessary – that might mean guiding technically, or working with clients and partners to define scope and opportunity. They will provide technical input into new business opportunities such that work is scoped appropriately to ensure quality, strategic fit and feasibility. The Lead will be expected to stay up to date on latest developments in the field of data science such that state-of-the-art data science techniques and processes are employed to deliver innovative and cutting-edge solutions. They will be ultimately responsible for bringing data science best practice to the design and delivery of new and innovative tools, products and services to the market.

 

Key Responsibilities:

  • Line manage the Data Science Team by implementing and enabling organisational policies and procedures, including but not limited to recruitment, learning & development, team technical workflows and performance management
  • Care for the culture in the data science team, promoting peer support outside of project focus and providing a technical learning environment supportive of innovation and creativity
  • Use expertise to provide hands-on insight, technical support and input into deliverable work
  • Develop and grow the capacity, skills and service offering of the Data Science Team to match the needs of our project pipeline and operational plan
  • Develop, embed and promote the tools and processes the Data Science Team use to deliver their work effectively and sustainably; working closely with the Software Engineering team Lead for consistency
  • Ensure the delivery of high-quality work, understanding project requirements, coordinating with resources and leading the project in the right direction
  • Work actively with other specialists and team leads for example in mobility technology, built environment and human centred design to guide collaborative, multidisciplinary projects in the right direction
  • Help scope new project opportunities to ensure quality, technical credibility and feasibility
  • Be a thought leader in the data science domain, playing a driving role in formulating our data vision on current place-based challenges and remain abreast of the place-based data project opportunity landscape
  • Engage with academic research partners and institutions to incorporate in the development and delivery of collaborative activities
  • Actively build external relationships by supporting our engagement with key companies, researchers and policy makers
  • This role may require some travel and may also require the management of team members across multiple locations
  • You may be required to undertake any other reasonable duties to support the Catapult in achieving its strategic outcomes and ensure effective business operations

 

Skills and Experience: 

  • Masters, PhD or equivalent experience in a numerate or scientific discipline such as physics, Operational Research, Statistics, computer science
  • Excellent understanding of different methodologies/ approaches across data science, data analytics, data visualisation, machine learning, scientific modelling, as well as awareness of data engineering approaches and concepts such as open data, data ethics and standards
  • Good programming skills in data science relevant languages like Python and R – experience and flexibility to learn new languages
  • Significant work experience outside academia, applying data analytics and/or modelling to applied projects with real impact
  • Demonstrable experience in business, whether employed or self-employed, in large or small firms; and/or in research, in universities or research organisations. Mixed background is a plus
  • Ability to manage projects and guide a technical team through understanding an aligning on scope and problem, conceptual solution design, development, testing and deployment stages reviewing completed work effectively
  • Experience preventing or recovering ‘failing’ projects under particularly difficult circumstances
  • Proven experience managing teams to high-performance, driving team engagement, growing competencies and skills, as well as working with individuals on development plans and career paths
  • Ability to work with limited supervision under pressure and to tight deadlines
  • Excellence at managing relations with colleagues and stakeholders at all levels, being persuasive and approachable

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