Data Scientist

Proclink; Hyderabad, Ahmedabad District; Hybrid; INR 8,637,000 - 12,476,000; Full time

Job summary

Proclink is seeking an experienced Data Scientist with strong expertise in Machine Learning and statistical modelling to join our modelling team. The ideal candidate will have hands-on experience developing, validating, and implementing ML models, preferably within the US Banking / Financial Services domain.

Key responsibilities include developing ML and statistical models for banking use cases, translating business problems into analytical solutions, and performing data exploration, feature

Qualifications

• 5–8 years of experience in Data Science / ML / Statistical Modelling.
• Hands-on experience developing ML models using various techniques.
• Proficient in Python and ML libraries; strong SQL skills.
• Experience in US Banking / Financial Services domain preferred.

Responsibilities

• Develop, implement, and enhance ML and statistical models for banking and financial services use cases.
• Translate business problems into analytical and modelling solutions.
• Perform data exploration, feature engineering, model development, validation, and performance monitoring.
• Work with large datasets to identify patterns, trends, and actionable insights.
• Evaluate model performance using statistical and ML techniques.
• Collaborate with stakeholders, data engineers, analysts, and modelling teams to deliver scalable solutions.
• Document modelling approaches, assumptions, methodologies, and results.
• Continuously improve existing models and explore new modelling techniques.

Skills

Python

ML techniques

SQL

Statistics

Model validation

Big data

Problem solving

Job description

Role Overview:

We are looking for an experienced Data Scientist with strong expertise in Machine Learning and statistical modelling to join our modelling team. The ideal candidate should have hands-on experience in developing, validating, and implementing ML models, preferably within the US Banking / Financial Services domain.

Key Responsibilities:

• Develop, implement, and enhance Machine Learning and statistical models for banking and financial services use cases.
• Translate business problems into analytical and modelling solutions.
• Perform data exploration, feature engineering, model development, validation, and performance monitoring.
• Work with large and complex datasets to identify patterns, trends, and actionable insights.
• Evaluate model performance using appropriate statistical and ML techniques.
• Collaborate with business stakeholders, data engineers, analysts, and modelling teams to deliver scalable solutions.
• Document modelling approaches, assumptions, methodologies, and results.
• Continuously improve existing models and explore new modelling techniques.

Required Skills & Experience:

• 5-8 years of experience in Data Science / Machine Learning / Statistical Modelling.
• Strong hands-on experience in developing ML models using various machine learning techniques.
• Strong programming skills in Python and experience with relevant ML libraries.
• Good understanding of statistics, predictive modelling, model validation, and performance metrics.
• Experience working with large datasets and strong proficiency in SQL.
• Strong problem-solving and analytical skills.
• Experience working with US Banking / Financial Services data and business problems is highly preferred.
• Ability to independently understand business requirements and convert them into modelling solutions.

Preferred Domain Experience:

• US Banking / Financial Services
• Collections & Recoveries modelling experience is highly preferred.
• Experience with credit risk, customer Behavior, collections strategy, recovery prediction, or related banking use cases would be an advantage.