Data Science Lead

3 weeks ago

London, United Kingdom eFinancialCareers Full time

Join us as a Data Science Lead
- We'll look to you to actively participate in 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

**What you'll do**
As our Data Science Lead, you'll be evaluating and improving business processes and products using scientific rigour and statistical methods. You'll be supporting and collaborating with multidisciplinary teams of data engineers and analysts on a wide rangeof business problems including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk.
You'll also be:

- Developing and deepening your knowledge of data structures and metrics, advocating for changes where needed for product development
- Communicating effectively across our functions and franchises to make business recommendations, gaining business buy-in to solutions tailored to customers' needs
- 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:

- Experience with statistical software, database languages, big data technologies and cloud environments
- 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 the 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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