About the role:
As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.
What you’ll be doing:
- Mapping the end-to-end data science approach and designing the associated software architecture for projects
- Driving the technical scoping and feasibility assessment of new projects
- Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
- Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high‑stakes decision‑making
- Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
- Contributing to Faculty’s thought leadership and reputation through teaching, public speaking, or open‑source projects
Who we’re looking for:
- You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.
- You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep‑learning framework (TensorFlow/PyTorch).
- You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time‑series, NLP, model validation) and the ability to innovate new algorithms.
- You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.
- You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non‑technical audiences.
- You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
#J-18808-Ljbffr…
