Lead Data Scientist, Climate - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

1 week ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Join us as a Lead Data Scientist, Climate & Data Technology

Working as part of a growing modelling team, you'll help us to make climatefirst 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 buyin
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, selfdirection, 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