Data Scientist - Flexible Working Available

Recruiter
wmrecruit
Location
Homeworking
Salary
£55K +
Posted
12 Mar 2020
Closes
12 Apr 2020
Ref
LB/WMBDM
Contract Type
Permanent
Hours
Full Time

We have an amazing opportunity for a Data Scientist with as little as 6 months experience to join a fantastic business.

The role is within a funded start-up who have developed a B2B data intelligence platform. The successful applicant will work closely with other Data Scientist to create a wide range of commercial data science models utilizing a state-of-the-art Azure Data Platform. The role is ideal for an experienced data scientist who has an excellent understanding of how to write efficient PySpark code. It would also be a great option for a more Junior candidate with relevant experience.

Main Accountabilities and Responsibilities

  • Develop a range of machine learning models via the full lifecycle process {business understanding, feature engineering, prototyping, training, evaluation}
  • Work with engineering team to deploy accepted models
  • Create visualisations to articulate model results and performance
  • Create presentations which tell the story of these models, utilising the

visualisations

  • Work collaboratively with the engineering, platform, product and wider business

teams

  • Work within a DataOps framework

Knowledge,Expertise and Qualifications

  • Degree in mathematics, statistics, computer science, engineering or similar
  • Masters or PHD an advantage
  • Have created advanced prediction and classification models in PySpark  (Experience of Databricks is a huge plus)
  • Experience working on big data problems using cloud technology
  • Deeply experienced within creation of statistical models and comfortable working

with imperfect data

  • Experience in data visualisation techniques and tools
  • Demonstrable knowledge of modelling (e.g. cluster analysis, decision trees, regression, propensity modelling, Bayesian etc.)
  • Experience in using version control software an advantage (e.g Git, Azure DevOps etc.)
  • Experience of graph database/network analysis an advantage (e.g. Neo4J), but not essential

Personal Qualities

  • Excellent verbal & written communication and presentation skills, with well-structured and analytical approach.
  • Structured in code development and annotation, ensuring usability for others
  • Highly commercially aware, particularly in prioritising time.