Data Scientist - 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 Data Scientist

Participating in the data community, you'll identify and deliver opportunities to support the bank's strategic direction through the better use of data
It's a chance to develop your skills and bring an innovative and passionate approach to data science to benefit our business

What you'll do
As a Data Scientist, 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 range of businessproblems, understanding customer interactions with the bank and how we manage credit risk.

You'll also be:

Developing your knowledge of data structures and metrics, advocating for changes for product development where needed
Conducting analysis, including gathering data and specifying requirements in collaboration with business stakeholders
Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
Working with other colleagues across our functions to make business recommendations and presenting your findings to stakeholders

The skills you'll need

To succeed in this role, you'll hold a degree in a quantitative discipline or have equivalent practical experience in a data analysis related field.

You'll also be able to demonstrate your experience with statistical software, database languages, big data technologiesand cloud environments.

Additionally, you'll bring:

Experience of working as part of a multidisciplinary team
The ability to articulate and translate business questions and use statistical techniques to resolve data analysis problems
Knowledge of statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods
Experience with machine learning on large datasets and in deploying machine learning models into a production environment
Excellent written and verbal communication skills