Chief Data Scientist / Architect (contract)

  • Job Reference: 0000005588
  • Date Posted: 4 December 2018
  • Recruiter: careerwise
  • Location: London
  • Salary: £550 to £600 Per Day
  • Sector: I.T. & Communications
  • Job Type: Contract
  • Duration: 6 months +
  • Work Hours: Full Time

Job Description

Chief Data Scientist / Architect (contract)

£550 - £600 per day

Initial 6 months (extensions likely)

East London

We are working with one of the UK's largest Entertainment companies who are looking to add a dynamic Chief Data Scientist / Architect to their Data Excellence Team based in East London to take responsibility for building a Next Best Action recommendation engine, and for architecting, designing and building an Machine Learning Chatbot for 10 plus significant use cases.

Basic Qualifications:

  • A minimum of Bachelor's degree in data science, mathematics, economics, statistics, engineering and information management or related field of study
  • A minimum of 5 years researching, designing, implementing, and deploying full-stack scalable data science and machine learning solutions to solve various business issues
  • A minimum of 5 years building and maintaining a large-scale analytics infrastructure used across the business including conducted research, design, implementation, and validation of cutting-edge algorithms to analyze diverse data sources
  • A minimum of 5 years designing, developing, and implementing data management systems of analytic frameworks for the business's data by applying advanced statistical capabilities and delivering statistical models
  • A minimum of 5 years working and conceptual knowledge in data structures, algorithms, statistics, machine learning, natural language processing and programming in R, Python, or other equivalent languages

Preferred Skills:

  • Masters or MBA (Statistics or Mathematics)
  • PhD in Analytics, Statistic or other quantitative disciplines
  • Experience with evolving approaches and technologies such as Big Data, Artificial Intelligence, Machine Learning, Cognitive Systems, RPA
  • Strong working and conceptual knowledge translating business requirements into quick prototypes integration services, NoSQL, Tableau, Salesforce, or other data visualization tools
  • Specific working and conceptual knowledge of data integration tools streamlining data across several big data solutions such as Cerner EMR, Apache Hive, Apache Pig, Apache Spark, Hadoop, MapReduce, MongoDB and Couchbase.
  • leading data science teams, managing technical work quality
  • overseeing data science projects and implementation

Chief Data Scientist / Architect (contract)