Back to Job Search

Job Description

​Our client is looking for a Data Scientist to join their growing team in building their Data Analytics platform. This is a unique opportunity to contribute, and add value at the start of a multi-year-long transformation program.

Responsibilities of the Role:

  • Design algorithms and statistical models to solve complex business problems, ensuring effective deployment into production.

  • Support advanced data science projects by contributing to the creation of innovative insights, advanced modelling methods, and data science capabilities.

  • Design and deploy machine learning pipelines using high-quality code on the Google Cloud Platform.

  • Collaborate with the data engineering team to identify and incorporate new datasets or machine learning features that can enhance our data products, and actively participate in the planning and implementation of related initiatives.

  • Establish procedures and tools for monitoring, analyzing, and optimizing model performance.

  • Stay up-to-date with the latest data science trends and technologies, contributing to research and development efforts.

Requirements of the Role:

  • A Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

  • 1-2 years of relevant experience in data science or data modelling.

  • Proficiency in Python programming is required.

  • Familiarity with a Cloud platform such as Google Cloud Platform (GCP) is preferred (e.g., Vertex AI, Looker, etc.).

  • Knowledge of MLOps (e.g., ML model monitoring, logging, versioning, etc.) is a plus.

  • Excellent communication skills, with the ability to effectively convey technical information clearly and understandably.

  • Strong aptitude in data mining, analytics, and modelling, including algorithm development and simulation.

  • A problem solver who is willing to challenge existing approaches.

  • Experience with DataOps/MLOps in a large-scale enterprise environment is a preferable


  • Python (Programming Language)

  • Java

  • Scala

  • Hadoop

  • Apache Spark

  • Machine Learning

  • Skill Development

  • Data Science

  • Apache

  • MLOps