Finance Transformation Data Scientist

Role Overview

The Finance Transformation Data Scientist will design, develop, and apply advanced analytic models to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. The role will involve using visualization techniques to translate analytic insights into understandable business stories and embedding analytics into client’s business processes and applications.

What You Will Do

Responsibilities include defining and developing the value proposition to lead the formulation and definition of analytics solution objectives and technical requirements, conceptualizing, building, developing, and enhancing a client’s analytic model, and embedding analytic models into enhanced large scale business processes and operational systems.

Why It Might Be a Fit

The ideal candidate will have a PhD degree in Statistics, Operations Research, Computer Science or equivalent and 5+ years of relevant experience, or a Master’s Degree in these areas and at least 8 years of relevant experience. The candidate will have extensive knowledge of data science methodologies, ability to translate business requirements into mathematical models and data science objectives, and advanced understanding of analytics software and deployment architectures.

Requirements

• PhD degree in Statistics, Operations Research, Computer Science or equivalent
• 5+ years of relevant experience
• Master’s Degree in these areas and at least 8 years of relevant experience
• Extensive knowledge of data science methodologies
• Ability to translate business requirements into mathematical models and data science objectives
• Advanced understanding of analytics software and deployment architectures

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion