Data Scientist (Python / Spark / SQL)

London

£600 - £650 a day

Data Scientist (Python / Spark / SQL)
London
3 Months
£600 - £650 per day
Group Digital is playing a key part in the development & delivery of new cloud computing technology in order to effectively use data science & machine learning tools across the Group. Delivery of such tools will support the transformation agenda of the Group. The use of big data will be critical to transformation of customer propositions whilst keeping them secure as they switch towards digital technologies.
Accountable for taking requests for data, insights, and information, helping to optimise the performance of our fraud and security controls, both those developed internally, and those provided by third parties and identifying innovative solutions within machine learning and statistical analysis to create an improved digital experience for our customers and business processes.
The required skills
Previous experience of Machine Learning concepts and techniques.
Be proficient at Python and SQL and familiar with Spark
Is quantitatively-minded and has a strong understanding of basic statistics
has good communication skills
Desired skills/experience:
An understanding of Online Fraud and detection strategies
Big Data experience
Retail Banking
Key Accountabilities
Support the theme in the on-going development of the Security and Fraud Strategic Roadmap
Ensure compliance to all policies such as Group Fraud Policy, ITEC standards and sourcing policies
Engage business stakeholders to identify future requirements and opportunities to maximise fraud controls whilst delivering a world class customer experience
Identify opportunities for optimisation of business processes related to fraud detection and prevention, in Digital Banking
Help create a Centre of Excellence in the area of Digital Banking Fraud Data Analytics, through defining and delivering best practice technologies, processes and framework
Help shape the requirements and specifications of a cross-channel continuous authentication and risk assessment platform for the group

Posted by Pontoon, 07 Jun