Research Scientist – Research & Applied Data Science

Kalibrate

Manchester, UK

Apply
To apply for this position please email your CV to phillip@aspiredata.co.uk

As a market leader in fuel pricing and network planning technologies, Kalibrate develops and delivers strategy and technology solutions to drive greater value from the fuel and convenience retail chain.

In a highly dynamic and fast-paced environment, this position will provide the successful candidate with a unique opportunity to develop and apply state-of-the-art machine learning and artificial intelligence techniques and methods to interpret, analyse and model data, to address specific business problems. You will play a vital role in introducing new computational and decision analysis techniques to support strategically important future business development.

The Role

  • Develop and apply knowledge of mathematical and statistical analysis to improve dynamic pricing and network planning software, to provide competitive pricing and presence in the marketplace.
  • Design, execute, analyze and interpret pricing experiments to understand real time dynamics of a highly competitive retail market.
  • Develop, document and analyze metrics, analytics, and insight generators for pricing strategy and network planning optimization.
  • Identify a potential business problem, or take a business problem originated by others, and create a solution that allows repeatable analysis, and productization of the solution.
  • Report analysis and results to senior management.
  • Actively participate in project meetings by offering feedback on assigned tasks and gather additional information from internal members linked to the analysis project.
  • Increase skills on a continuous basis to remain current with new processes, methodologies and techniques.
  • Communicate with international regional office personnel during non-business hours as required.
  • Collaborate with development team to create a single integrated library of intellectual property with appropriate management processes, and work with them in implementing models in a production data-streaming environment integrating Apache Kafka with Alteryx, R and Keras.

Candidate Experience

  • A Master’s degree in Statistics, Mathematics, Operations Research, Economics, Computer Science or a related engineering/science degree is preferred. A PhD in a related field is a plus.
  • One to three years of mathematical and/or statistical analysis work experience is required, preferably in the commercial arena.
  • Experience in the following areas:
  • 1. Expertise in statistical and mathematical methods, including: mathematical modeling and regression; supervised and unsupervised machine learning for data analytics, prediction and classification.
  • 2. Knowledge of advanced statistical concepts, including: time-series analysis, Bayesian models and optimization.
  • 3. High proficiency in programming with a scientific software language – preferably R, or Python
  • 4. Demonstrate an ability to create innovative solutions to complex problems, suggest new and enhanced modeling methodologies to meet future business requirements., and to review others’ designs.
  • 5. Motivated to lead oneself, with a desire and ability to learn new mathematical/statistical skills and techniques.
  • 6. Demonstrate a strong desire to work in a team environment, share knowledge and facilitate the sharing of knowledge between peers and to communicate with others within the department and company in both written and oral format.
  • 7. Ability and desire to understand the business domain and engage with non-technical staff and clients, and to present material in a fashion appropriate to the audience
  • Experience in the following areas is advantageous:
  • 1. Knowledge of econometrics (e.g., elasticities, pricing, market competition models).
  • 2. Deep learning with Keras or Tensorflow
  • 3. Familiarity with programming in SQL and using Microsoft SQL Server Management Studio

Applications should be directed to Phillip Hartley at Aspire Data Recruitment –phillip@aspiredata.co.uk

www.aspiredata.co.uk / +44 (0)1706 825 199


Apply
To apply for this position please email your CV to phillip@aspiredata.co.uk

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