Description
As a Lead Data Scientist at Faculty, you'll play a pivotal role in setting the technical direction and ensuring the high-quality delivery of complex, high-impact projects.
Faculty is a company that has been at the forefront of AI since its inception in 2014. With over 350 global customers, they transform performance through human-centric AI. Their Energy, Transition and Environment business unit focuses on accelerating the transition to net-zero emissions and driving efficiencies for utility companies.
In this role, you'll be responsible for:
- Setting technical direction for complex projects, balancing speed, innovation, and reliability
- Designing and implementing reliable, production-grade technical solutions
- Defining project roadmaps and overseeing end-to-end delivery
- Leading technical scoping and feasibility studies for high-value sales opportunities
- Managing client relationships and communications
- Driving the adoption of best practices across the Data Science craft
- Mentoring and developing other data scientists
To be successful in this role, you should have:
- Depth of expertise in at least one machine learning domain and strong technical breadth across data science
- Proven technical leadership and project management skills
- Experience in managing complex projects and delivering innovative outcomes under commercial pressure
- Strong customer leadership skills and ability to drive long-term strategic relationships
- Excellent cross-functional collaboration skills
Faculty's recruitment ethos emphasizes diversity and inclusion, encouraging applications from all backgrounds.
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