Responsibilities
- Work to agile best practices and cross-functionally with multiple teams and stakeholders.
- Use technical skills to problem solve with clients, as well as work on internal projects.
- Participate in in-person whiteboarding sessions to problem solve as a team.
- Engage in asynchronous communication on Teams.
- Work on a broad variety of projects and tech stacks for clients across seven sectors.
Requirements
- Strong background in data science, mathematical modelling and ML.
- Focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations.
Benefits
- Budget for technical and non-technical training.
- Opportunity to gain certifications.
- Flexible and unique career growth.
- Inclusive environment that values excellence, innovation, and curiosity.
- Option to remain on a technical career track.
Work Arrangement
Hybrid — client site, office
Additional Information
- Hybrid working - minimum of 2 days per week in the office or on client site.
- Actual time spent in office or on client site may vary by role or assignment, including up to 5 days per week on a client site.
- You’ll have budget to take courses (technical and non-technical training).
- Opportunity to gain certifications.
- Option to progress on a technical career track without going onto the Partner career track.
