Data Science Consultant

Description

This is great opportunity to work with one of the top consultancies in the UK and Internationally.

Their freshwater ecology and hydro-ecology projects require a data science consultant to help design, optimise and analyse large scale environmental monitoring programmes. Typical clients include the UK environment and conservation agencies, water and energy utility companies, and infrastructure developers.

Your profile

A BSc or MSc degree in a relevant subject is preferred, as well as professional work experience in an analytical role. You will have a passion for data, an eye for detail and enjoy finding creative and efficient solutions to client’s problems.

You will be a highly motivated and an organised self-starter who proactively keeps abreast of new developments in data science and has a demonstrated commitment to ongoing personal development.

You will be expected to work independently, as well as part of the projects team. You will be able to confidently provide technical input when communicating with clients and the multi-disciplinary projects team.

In addition, you should be prepared to travel to attend meetings across the UK. Therefore, a valid drivers licence is essential for this position.

Required skills:

  • Professional work experience in an analytical role involving data management, processing, analysis and visualisation.
  • Proficiency with R and MS Excel.
  • Strong, creative problem-solving, organisational and analytical skills
  • Experience in working with concepts such as predictive modelling, model validation, data quality and version control.
  • Excellent communication and report writing skills.


Desired skills:

  • Proficiency with R Markdown or Jupyter notebooks, R Shiny, PowerBI, Python, SQL, ArcGIS/QGIS, or similar.
  • Experience using cloud platforms such as AWS or Azure and associated machine learning tools.
  • Experience of working within a fast-paced commercial consultancy environment.
  • Experience of preparing proposals and tenders.

Hybrid remote working options are available, and the remuneration package is highly competitive. 

Don't miss out, apply today!

Closing Date:
15/07/2022

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