Location Planning :
+44 (0)20 7602 6000

Data Scientist


We are looking for a data scientist to work within our Location Intelligence technical team. It is a young and sociable team that are looking for a self-motivated person with a willingness to learn new skills and who is comfortable receiving a high level of responsibility from day one. 
Within the wider Location Intelligence team, we work with companies from a broad range of sectors, both within the UK and internationally, including retail, leisure, automotive and the public sector on projects with timescales spanning from a few days to several months.
We are looking for someone who can come up with creative solutions to our clients’ problems, and help to drive innovation and efficiency within the team.
Key responsibilities include:

  • Taking on deep-dive analysis of data and generate new business insights with the development of predictive models
  • Helping to create and deliver a wide range of bespoke projects and tools using a variety of different environments, languages and techniques
  • Developing our analytical capabilities, researching related technologies and approaches, enabling other areas of the group
  • Playing a part in owning and maintaining the underlying processes and infrastructure we are building tosupport the day to day work


  • A degree in a numerate discipline and strong understanding of statistics
  • You are a self-starter, creative and willing to challenge the status quo
  • Demonstrate an intellectual curiosity and passion for learning in the data sciences, exploring the fields of data engineering and machine learning
  • Be a communicative person that values building strong relationships and you can explain complex topics in simple terms
  • Can demonstrate skills in algorithm development, data manipulation and visualisation
  • Experience in, or comfortable with, learning to write and maintain programming code and database scripts
  • Strong Microsoft Excel skills
  • Excellent oral and written communication
  • Dependable team player


  • Familiar with analytics and business intelligence platforms (e.g. Alteryx, QlikView/Sense, Tableau, Power BI)
  • Familiar with programming languages (e.g. R, Python)
  • Familiar with database query language (e.g. SQL)
  • Knowledge of spatial and non-spatial data modelling technique
  • Experience and knowledge of the consumer retail market


Competitive salary and benefits package (including technical team bonus) • Gym membership • We are an equal opportunities employer and welcome applications from all suitably qualified persons
regardless of their race, sex, disability, religion/belief, sexual orientation or age.


The Location Strategy & Analytics team, based in our head office in Kensington, London, is responsible for delivering geographically based analysis and insight to clients.  We provide consultancy, tools and recommendations to help our clients develop an optimal locational strategy fitting their customer base, operational requirements, business drivers and company objectives.  Projects typically last between a week to 6 months, ranging from performance analysis and customer profiling and understanding through to the development of fully customised spatial interaction models.  We work closely with our clients to ensure we understand their aims and objectives, incorporate their feedback and knowledge, and develop a solution to meet
their business needs.


To apply for this role, please email a copy of your up to date CV to Tom Hewer - thewer@caci.co.uk


Headquartered in London, CACI is a £100m, wholly owned subsidiary of CACI Inc., a £4bn company listed on the NYSE.
CACI's marketing solutions are based on both an in-depth understanding of individual consumer behaviour, as well as expertise on how geographical locations (towns, shopping centres, individual stores) influence the way consumers buy products and services.
CACI offers a combination of data, software and consultancy. Data products cover a range of individual, household and postcode level consumer classifications, including the market leading Acorn classification, as well as information on income, expenditure and more.