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Data Scientist
Posted on 2/1/2022
London, UK
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Science
Data Structures & Algorithms
Natural Language Processing (NLP)
  • Once your application has been submitted, a member of the Talent Team will review
  • If successful, they will book you in for an initial phone interview to find out more about your skills and experience, plus give you the opportunity to ask any questions
  • If successful, you will then be booked in for a coding and problem solving session so we can see you in action! You will meet your potential team members and also see the sort of problems that you will be solving in the role
  • If successful, you will then have a final interview with the hiring manager. They will want to find out more about you and give you all the information you need to make an informed decision
  • If successful, we will present an offer!
  • Work alongside our Engineering, Data Analytics and Product Teams to process huge amounts of structured and unstructured data to extract information
  • Collaborate with different teams to perform cross data source analysis for better data unification
  • Have a deep understanding of existing data sources, related challenges and potential improvements, developing a roadmap to improve data quality
  • Use exploratory data analysis and data mining techniques to identify actionable items for product improvement
  • Have ownership of data metrics; you will be designing data metrics for each machine learning module using business requirements and customer feedback
  • Provide data insights and powerful visualisations which will act as insights for new ideas that will be part of our product roadmap
  • Continuously research tools, technologies, frameworks and practices to ensure that we ahead of the curve
  • Possess an MSc or PhD in numerate subjects, or equivalent experience
  • Have a passion for data and have previously solved complex real world problems through algorithms
  • Possess the availability to translate business requirements into technical solutions
  • Have the ability to communicate effectively with a multitude of stakeholders, sharing complex messages in an easily understandable way
  • Be able to write and test code, ideally in Python
  • Have experience with one of more of the following, natural language processing, entity resolution, graph theory, graph machine learning, unsupervised machine learning techniques
  • Have hands-on experience with modern machine learning frameworks such as Scikit-learn, TensorFlow, or Spark
Desired Qualifications
  • Experience delivering machine learning solutions and integrating into data pipelines
  • Experience with Kubernetes
  • Experience with Big Data platforms such as Spark
  • Willingness to undertake bespoke research and learn “on-the-job” as required

201-500 employees

Company mission
ComplyAdvantage helps firms make intelligent risk decisions, faster by providing real-time insight into the risk of people and companies.