Integrated Marketing :
+44 (0)20 7602 6000

Data Scientist

About CACI

Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI Inc., a company listed on the New York Stock Exchange. In the UK, CACI’s turnover is in excess of £70m, with over 800 employees. CACI leads in the business transformation space, providing services to both the private and public sector. We have an excellent reputation in the markets we operate in. We support our clients with first class service, unrivalled domain expertise, innovative propositions and leading edge technological solutions.

CACI operates in all major sectors including financial services, Telcos, Utilities, Publishing and Media, Retail, Leisure and Automotive. Our clients include: AEG Europe, Channel 4, Chelsea Football Club, EDF Energy, Lloyds Banking Group and Telegraph Media Group.

About the Business Division

Within Integrated Marketing Group (IMG), our data science team supports the business by providing actionable data driven solutions. We work on a range of consultancy engagements for a range of major brands across all industries, as well as developing and selling our own analytics software, and our internal data products (Acorn, Ocean). We focus on using rigorous analytics and forward-looking techniques to deliver user-friendly insight and capabilities.

Examples of recent engagements include:

  • A range of customer segmentation projects, combining clients’ internal data with CACI datasets such as Ocean to provide increased business insight
  • A range of analytics projects, from propensity modelling to attribution modelling
  • Ongoing development, marketing, sales, training, and support on CACI Forecaster – class leading time series forecasting software built completely in house

The data science team is looking for a new member to work on a range of projects, applying a creative data driven approach using the latest techniques and tools.

About the Role

This is an exciting opportunity to be part of a team that specialises in marketing analytics. The successful candidate will be joining a team of 12 based in Kensington, and will be involved with delivering bespoke project work, both off and on-site. We are looking for a candidate with analysis experience in a marketing environment, with knowledge of at least one of R or Python languages and libraries.

We work closely with the sales teams and account managers, and you would be expected to support these teams from a technical point of view. Analytics projects are often highly bespoke, and we are looking for someone who can come up with creative solutions to our clients’ problems. These solutions may be highly technical, but need to be explained simply and be easy to use in order to provide real business benefits to our clients.

Key Requirements

  • Develop an in depth understanding of CACI data and in-house systems
  • Help create and deliver a wide range of bespoke analytics projects and tools using a range of different environments, languages, and machine learning techniques
  • Help to maintain and improve our analytics capability, through a collaborative, code sharing environment
  • Adhere to CACI’s Core Values at all times – transparency, honesty, and integrity – we always do what’s right and we do what’s best for our clients

Throughout you would be expected to work with a range of teams, from sales to account managers and application developers, and with a wide range of clients of different levels of seniority and experience.

About You

  • Experience in a data-driven marketing environment
  • The creativity and technical knowhow to be able to develop and deliver analytically rigorous yet easy to use solutions
  • Degree or postgraduate study in a numerate discipline
  • An interest in implementing or developing novel machine learning algorithms and techniques, and applying those on customer engagements
  • The willingness to take on a range of roles, from customer project work, to product development, to user training and supporting the sales team
  • An ability to communicate complex ideas in an approachable way
  • A good grounding in machine learning, predictive analytics and relevant experience in techniques from regression to clustering
  • Very good analytical and problem-solving skills
  • Knowledge and experience of at least one of R or Python
  • Critical thinking approach in being able to design new techniques and approaches, and critique and improve existing algorithms
  • Good writing and communication skills: proposals and documentation
  • The ability to work in a small team or independently

Nice to haves

  • Knowledge and experience of Alteryx
  • Knowledge and experience of SAS
  • Experience in SQL and developing in VBA in Excel
  • Knowledge of simulation techniques

About the benefits

We have a range of benefits on offer to support our employees not only through their day to day well-being but also to foster their future career growth.

We have a comprehensive list of schemes ranging from pension plans to health and wellness policies, in addition you can opt into a selection of flexible benefits to meet your personal needs.

Learning and development is a top priority for us, and we have built a wide ranging framework which has an extensive list of soft skills and technical workshops/training internally on offer to meet your growth needs

TO APPLY FOR THE POSITION PLEASE EMAIL YOUR CV AND COVER LETTER TO RTomlinson@caci.co.uk

All applicants must be eligible to work in the UK on a permanent basis

NOTICE TO THIRD PARTY AGENCIES:

Please note that CACI does not accept unsolicited CVs from recruiters or employment agencies. CACI only works with carefully selected recruiters and agencies who have signed CACI’s standard recruitment agreement. If a recruiter or agency submits a CV or candidate to CACI, absent a signed agreement, CACI will not pay (or consider payment of) any referral or recruiter fee or any other type of compensation. CACI and its hiring managers reserve the right to use, pursue and/or hire any such CV(s) and candidate(s) at any time, without any financial or other obligation to the recruiter or agency.