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Data Science Engineer Apprentice

Employer
SKY STAR EIGHT LIMITED
Location
122, Leadenhall Street, London, EC3V 4AB
Salary
£25,000.00 - £28,000.00 annually
Closing date
20 Aug 2021

View more

Specialism
Other
Sector
Unspecified
Role Type
Apprenticeship, Degree
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A great opportunity for someone interested in learning data science and its application to sports, and the betting industry. The successful applicant will work within the data science engineering team to develop, test and deploy models into production.

Key Responsibilities:
  • Create statistical and machine learning models for use-cases throughout the organisation
  • Data engineering of sportsbook data assets to assist in DS model development
  • Establish and monitor robust data flows between DS products and the rest of the organisation
  • Implement DS products in Python
  • Create automatic tests to ensure accuracy of DS products
  • Build advanced data-driven analytics tools for DS product monitoring
  • Research new approaches to optimise the performance of all models and data science processes

Education, Qualifications & Experience:
  • Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field
  • Experience using Python and its application to data science and data engineering
  • An understanding of Kafka, ideally with real-world experience
  • Experiencing with object-oriented programming is beneficial
  • Containerisation and Kubernetes experience is also beneficial
  • Some understanding of data science and statistical modelling principles will be considered an asset

Behavioural Competencies:
  • Effective collaborator - works well with others within the team and the wider organisation, whilst communicating effectively across a range of channels and audiences
  • Inquisitive - Self-learner who is open to learning new things
  • Driven - can formulate ideas and research their validity, as well as experiment with different solutions to a given problem
  • Business insight - understands the organisation and the problems it faces
  • Innovative - always looking for new opportunities that will grow the organisation


Requirements and prospects

Desired skills

  • Good communication skills
  • Collaboration


Personal qualities

  • Attention to detail
  • Drive
  • Willingness to learn


Desired qualifications

  • You should possess a minimum of 5 GCSEs (or equivalent) - grades A - C / 4-9 including maths, English and IT
  • For entry to the AI & Data Specialist (Level 7) apprenticeship you must have a degree in a STEM subject, grade 2:1 or above
  • Alternative experience and qualifications may be considered


Future prospects

  • Apprentices progress along a career path from day one, gaining professional skills, status and accreditation as they go
  • Future career prospects will be discussed at Interview


Things to consider

  • The apprentice must be able to demonstrate the required attitudes, behaviours and interpersonal skills associated with the professional workplace
  • The apprentice must be willing to commit an amount of personal time to study
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