Predictive Modelling Specialist

What role you will play in team: Develop and implement predictive models to improve business outcomes, focusing on risk assessment and fraud detection.

What you will do: Apply statistical methods and machine learning techniques to build models that predict future events or behaviors.

Key responsibility:

• Design, develop, and validate predictive models using statistical and machine learning methods
• Perform data analysis and feature engineering to improve model accuracy
• Implement models in production environments and monitor their performance
• Communicate findings and recommendations to stakeholders
• Collaborate with other data scientists and business stakeholders
• Stay up-to-date on the latest advancements in predictive modeling and machine learning

Required Qualification and Skills:

• Master's degree in Statistics, Data Science, or a related field
• 2-4 years of experience in predictive modeling
• Strong programming skills in Python or R
• Experience with machine learning libraries (e.g., scikit-learn, XGBoost)
• Excellent communication and presentation skills

Benefits Included:

• Competitive salary and benefits
• Opportunities for professional development
• Collaborative work environment
• Work From Home Option.

A Day in the Life: A typical day will include data analysis, model building, model evaluation, and collaboration with team members to refine the models and ensure successful implementation.