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)