Data Scientist

Executive recruitment company Monroe Consulting Group's Technology Division is partnered with a tech organisation that provides data science solutions to their clients. Our client is seeking a highly skilled and motivated data scientist to join our team. The successful candidate will have a strong background in statistics, machine learning, and programming, as well as experience working with large and complex data sets.

Job Responsibilities:

  • Develop and implement data-driven solutions to business problems using statistical analysis, machine learning techniques, and data visualization
  • Collaborate with cross-functional teams to identify and prioritize business opportunities and data-driven initiatives
  • Build and maintain predictive models to support decision making and drive business growth
  • Conduct research and stay up-to-date on the latest trends and techniques in the field of data science
  • Present findings and recommendations to stakeholders in a clear and concise manner

Job Requirements:

  • Advanced degree in a related field, such as computer science, data science, statistics, or mathematics
  • Strong programming skills, particularly in Python or R
  • Experience with machine learning libraries and frameworks, such as scikit-learn or TensorFlow
  • Experience with machine learning techniques and process
  • Proficiency with data management and experience working with large and complex data sets
  • Excellent communication and problem-solving skills
  • Experience in experiment design, hypothesis testing and causal inference
  • Passionate about data
  • Ability to work independently and as part of a team
  • Ability to communicate effectively with both technical and non-technical stakeholders, and be comfortable working in a fast-paced, constantly evolving environment.

Preferred Qualifications:

  • Master's degree in a related field
  • Experience with data visualization tools, such as Tableau or Matplotlib
  • Experience with natural language processing (NLP) and/or deep learning
  • Experience working with unstructured data and/or non-traditional data sources
  • Experience working in a business setting and using data to inform decision-making
  • Minimum 2 years of hands-on experience in relevant field / 5 years for Senior (Project or business use case)