/data-science-jobs

Data Science Jobs

Job positions and metadata downloaded from Reed Employment on 16th January 2021.

There are three datasets for the three job titles: Data Scientist, Data Analyst, Data / Machine Learning Engineer.

Data Format

Column Example
jobId 41750951
employerId 549323
employerName Bench IT
employerProfileId NA
employerProfileName NA
jobTitle Junior Data Scientist - Graduate
locationName London
minimumSalary 27000 (note this is sometimes a day rate not an annual salary)
maximumSalary 30000 (ditto)
currency GBP
expirationDate 25/02/2021
date 14/01/2021
jobDescription Junior Data Scientist/Data Analyst Our client are at an exciting phase, with ambitions to expand its range of tradeable financial products, providing innovative risk management options for their industry, and for investors. The data function provides quantitative expertise to the ongoing maintenance, quality assurance and development of its benchmark indices. It manages the technical design, testing and imple...
applications 20
jobUrl https://www.reed.co.uk/jobs/junior-data-scientist-graduate/41750951
fullDescription

Junior Data Scientist/Data Analyst

Our client are at an exciting phase, with ambitions to expand its range of tradeable financial products, providing innovative risk management options for their industry, and for investors. The data function provides quantitative expertise to the ongoing maintenance, quality assurance and development of its benchmark indices. It manages the technical design, testing and implementation of new financial products, and operates the analytical framework that underpins the quality assurance cycle of our FCA regulated benchmarks.

  • Bachelors or Postgraduate degree in computer science, maths, statistics, economics or related disciplines
  • Familiarity with authoring and querying APIs, particularly for regular use within data analysis pipeline - understanding of Graphql would be a bonus
  • Strong understanding of the capabilities of Microsoft Excel, and familiarity with M
  • Python programming skills (e.g. data manipulation and analysis)
  • Solid Statistical Competency, particularly with time series analysis, but crucially a scientific approach to understanding and testing new ideas, as well as identifying patterns in financial data
  • Interest in financial markets, and particularly with derivative products
  • Confidence in creating visualisations and dashboards
  • Understanding of the Azure Cloud Analytical stack
  • Strong written English skills

This role will support several key areas

  • Data Visualisation for internal stakeholders
  • Supporting with scoping, prototyping and testing developments for our benchmarks
  • Refining and maintaining the ingestion pipelines used for internal analytics
  • Supporting, and developing the automated statistical quality metrics run on our products
  • Exploratory research to support the validity and/or the relevance of our benchmarks, such as the use of historical transactional and market data
  • Reporting functions for the finance function which has recently moved to Business Central Dynamics

This function within the organisation is new, but with extremely rapid development having taking place and highly ambitious goals to expand. Accordingly, the successful applicant must be comfortable tacking brand-new problems and enjoy applying their statistical skills in a creative way. Equally the role will be a broad one, with strong internal demand for support with data analysis across a number of projects. Most importantly a successful applicant must be willing to acquire deep subject matter expertise on the Indices themselves, and on the derivatives market: this is a complex, rich and fascinating set of instruments, so intellectual curiosity and a good memory is critical.

Challenges

  1. What interesting insights can we gain from the datasets?
  2. What is the different focus & ewmphasis of the different job roles?
  3. What does it tell you about what you need to learn on the MSc?

For basic exploration and analysis, you can use Excel. For more advanced analysis you might want to use a Python language library such as NLTK or Spacy