The multinational professional services network is looking to hire a Data Scientist to develop, test, and deploy machine learning/AI models, contribute to project planning and direction, and communicate complex concepts effectively.
Requirements
- Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
- Coursework related to machine learning, deep learning, and programming
- At least an introductory understanding of LLMs and prompt engineering
- Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
- Demonstrated ability to write high-quality code
- Demonstrated ability to develop machine learning models
- Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps
- Familiarity with machine learning model development life cycles
- Experience with version control practices and tools (Git, etc.)
- Public AI-related projects you have developed available on GitHub
Responsibilities
- Develop, test, and deploy machine learning/AI models
- Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives
- Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives
- Contribute to internal discussions on emerging machine learning methodologies
- Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders
Other
- Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
- 2+ years of relevant experience
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
- You should expect to co-locate with team members or other colleagues in office, at a client site and/or virtually, based on specific team and business expectations.
- Ability to travel up to 10%, on average, based on the type of work you perform and the clients served
- Limited immigration sponsorship may be available
- Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
- Relevant work experience (internships, school jobs, etc.)
