SENIOR DATA SCIENTIST – ML

• You are determined to stay ahead of the latest technologies in Data Science!
• We’re one of the largest and most advanced Data Science practices in the country
• Together we can build state-of-the-art Data Science models that power seamless experiences for millions of customers.

TECH SKILLS:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure to any one of them or other equivalent tools in ML and statistical modelling will set you up for success in this role.

• Solid foundational experience in leading projects in Data Science, building ML and credit risk models within a financial services organization or an equivalent large-scale environment.
• Strong hands-on coding and ability to write modular and optimized code using Python( R Knowledge preferred but not required) and SQL.
• Deep expertise in developing, building and deploying advanced statistical, credit risk and ML predictive models to implement scalable solutions.
• Innate ability to identify, analyse and prioritise opportunities to expand Data Science capability and think ahead of curve to bring forth AI solutions with greatest impact.

• Curious and innovative mindset blended with pragmatic thinking.Bachelor’s degree Or Master’s degree Or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics.

KEY RESPONSIBILITIES:

This role supports the Senior Manager in Home Buying Modelling to deliver impactful modelling solutions. You will be responsible for the development and management of key credit risk models within the team, with an objective to foster a team vision that utilises state of the art data science and statistical techniques to outperform the market with regards to credit risk origination and portfolio management. You will be expected to drive higher quality/efficient use of data through continuous process improvements. More specifically this will include:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure to any one of them or other equivalent tools in ML and statistical modelling will set you up for success in this role.

• Solid foundational experience in leading projects in Data Science, building ML and credit risk models within a financial services organization or an equivalent large-scale environment.
• Strong hands-on coding and ability to write modular and optimized code using Python( R Knowledge preferred but not required) and SQL.
• Deep expertise in developing, building and deploying advanced statistical, credit risk and ML predictive models to implement scalable solutions.
• Innate ability to identify, analyse and prioritise opportunities to expand Data Science capability and think ahead of curve to bring forth AI solutions with greatest impact.
• Curious and innovative mindset blended with pragmatic thinking.Bachelor’s degree Or Master’s degree Or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics