Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

About the Organisation

A leading technology institute that works to develop and deploy advanced technology in pursuit of solving some of humanity’s most challenging and enduring problems. Guided by leading scientists and entrepreneurs, they seek to accelerate innovation by driving scientific and technological advancements across four key areas: health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation and the era of artificial intelligence.

Their Culture

We believe that an inclusive, collaborative team atmosphere is just as important to our mission as our scientific aims and methods.

We strive to build a supportive environment where everyone feels confident taking creative risks toward innovation. We value emotional intelligence and communication with empathy and respect for others.

We foster a team that is curious, committed, responsible, and resilient in the pursuit of excellence.

About the AI Capability

We are a team of AI researchers, Applied AI scientists, data and software engineers. We work across all our key areas, supported by world-class data platforms and large-scale compute.

AI is at the heart of how the institute tackles humanity's most pressing challenges. Our mission is to harness state-of-the-art statistical machine learning to dramatically increase the impact of our programmes and discover novel AI approaches for even greater future impact.

To achieve this, we unite:

1. The expertise of multi-disciplinary scientists and our full-stack machine learning teams.
2. World-renowned AI scientists across partner institutions, discovering breakthroughs in foundational machine learning research.
3. The brilliance of the brightest graduate students, funded by our scholarship network.

Position

We are currently looking for multiple Data Scientists to join on a permanent basis, working across multiple different business areas such as health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation.

Your day-to-day:

• Researching and developing new models and techniques to tackle key business challenges
• Overseeing the production and maintenance of systems
• Conducting code reviews and collaborating on various projects across teams
• Providing mentorship and coaching, facilitating career growth within the team
• Engaging in project rotation for a fresh perspective and sustained engagement
• Proposing new initiatives and collaborating in team OKR crafting
• Participating in morning stand-ups and weekly prioritisation meetings

Your skillset:

We're on the hunt for a driven individual who employs a scientific approach to data, where the following qualities are paramount:

• Excellent problem-solving skills: Tackle a wide array of challenges through independent work and collaboration
• Innovation and curiosity: Work across the business to understand challenges and develop practical solutions
• Self-starter: Identify issues and opportunities independently, constantly seeking to learn and innovate
• Team player: Collaborate effectively, accept feedback, and provide mentorship
• Communication skills: Influence stakeholders and articulate data science concepts to non-technical audiences

Required Experience

• Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting
• Designing experiments and modelling to generate actionable insights and enhance business performance
• Proficient in machine learning and statistical methods for predictive modelling and forecasting
• Experience deploying ML models to production at scale
• Solid understanding of SQL
• Proficiency in unit testing, CI/CD, model management and experiment tracking

💰 Excellent compensation

📍 Hybrid working position, 2 days per week in Oxford

📑 Permanent position

If you are interested in finding out more about this hire, please reach out to [email protected] for immediate consideration.

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford