- Notice period only required

Role Overview :

As a Predictive Modeling Specialist, you will be at the forefront of developing and deploying sophisticated statistical and machine learning models to address critical business challenges. Your day-to-day will involve analyzing large datasets, building predictive models, and collaborating with cross-functional teams to translate insights into actionable strategies.

You will work closely with stakeholders across various departments, including risk management, marketing, and product development, to understand their needs and deliver data-driven solutions. The impact of your work will directly influence key business decisions, optimize processes, and ultimately enhance customer experience and drive revenue growth.

Key Responsibilities :

- Develop and implement advanced statistical and machine learning models to predict future outcomes and trends for various business applications.

- Analyze large and complex datasets to identify patterns, insights, and opportunities for improvement for internal stakeholders.

- Collaborate with cross-functional teams to define project requirements, develop modeling strategies, and communicate results effectively to ensure alignment and impact.

- Evaluate and refine existing models to improve accuracy, efficiency, and scalability for continuous improvement of predictive capabilities.

- Present findings and recommendations to stakeholders in a clear and concise manner to facilitate data-driven decision-making.

- Stay abreast of the latest developments in statistical modeling, machine learning, and data science to continuously enhance skills and knowledge.

Required Skillset :

- Core Modeling & Statistical Keywords

- Predictive Modeling/Analytics

- Machine Learning/Deep Learning

- Statistical Analysis/Modeling

- Algorithms (e.g., Random Forest, Gradient Boosting, Decision Trees)

- Regression Analysis (Linear, Logistic)

- Time Series Forecasting

- Ensemble Methods (XGBoost, LightGBM, CatBoost)

2. Technical Tools & Languages :