About the Role
Reference: CTI -Chels-1
Step right up, kid. This ain't the minor leagues. My client calling up an Intermediate Data Scientist with a credit background who knows how to swing big, read the numbers, and knock risk clean out of the park.
If you can stare down a messy dataset like a fastball over the plate, call your shot, and turn raw data into winning credit decisions — then grab your bat. This one's for you.
Minimum 2–4 years' experience as a Data Scientist or Credit Analyst
A completed degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a closely related field — no shortcuts to the majors
A solid credit and financial risk background — no benchwarmers here
Strong hands with Python or R, SQL, and statistical modelling
Experience swinging at machine learning models built for credit risk
A sharp understanding of credit scoring, risk metrics, and portfolio performance
A degree in Data Sci...
Step right up, kid. This ain't the minor leagues. My client calling up an Intermediate Data Scientist with a credit background who knows how to swing big, read the numbers, and knock risk clean out of the park.
If you can stare down a messy dataset like a fastball over the plate, call your shot, and turn raw data into winning credit decisions — then grab your bat. This one's for you.
Duties & Responsibilities
Minimum 2–4 years' experience as a Data Scientist or Credit Analyst
A completed degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a closely related field — no shortcuts to the majors
A solid credit and financial risk background — no benchwarmers here
Strong hands with Python or R, SQL, and statistical modelling
Experience swinging at machine learning models built for credit risk
A sharp understanding of credit scoring, risk metrics, and portfolio performance
A degree in Data Sci...
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