Lead Data Scientist, Climate

2 months ago

London, United Kingdom eFinancialCareers Full time

Join us as a Lead Data Scientist, Climate & Data Technology
- Working as part of a growing modelling team, you'll help us to make climate-first business decisions, quantify the environmental impact of our lending, and guide our customers to reduce their carbon footprint in an economically sustainable manner
- We'll look to you to act as a role model and lead the data community to identify and deliver opportunities to support the bank's strategic direction through better use of data
- This is an opportunity to achieve excellent exposure in a challenging role, and to make a real impact with your work by setting standards, and helping your team upskill with your expertise in Python
- This role is available for a period of six months

**What you'll do**
As a Lead Data Scientist in the Climate & Data Technology team, you'll be evaluating and improving business processes and products with a focus on how our business and our customers affect the world around us.
You'll be supporting and collaborating with multidisciplinary teams on a wide range of business problems, including modelling the impact of climate change, and identifying new, innovative ways to support our green transition.
You'll also be:

- Leading technical research projects and training junior data scientists in a growing data science team
- Communicating effectively across our functions and franchises to make business recommendations, influencing, and gaining business buy-in
- Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders
- Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment

**The skills you'll need**
To succeed in this role, you'll need evidence of previous project implementation and work experience gained in a data analysis related field as part of a multidisciplinary team. Additionally, you'll hold a degree in a quantitative discipline or have evidenceof equivalent practical experience.
You'll also demonstrate:

- Practical experience using advanced statistical techniques and machine learning models to help drive business decisions
- Strong Python skills, ideally with knowledge or experience of AWS, SQL, Tableau, and PySpark
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- The ability to demonstrate leadership, self-direction, and a willingness to both teach others and learn new techniques
- Effective written and verbal communication skills and the ability to adapt your communication style to a specific audience
- Extensive relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods

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