Are you passionate about using data to predict trends and guide business decisions?

Do you excel at building predictive models that unlock future insights and provide a competitive edge?

If you’re ready to apply your analytical expertise to shape impactful forecasts, our client has the perfect role for you.

We’re seeking a Predictive Modeler (aka The Forecasting Expert) to develop and deploy predictive models that support strategic decision-making, from customer behavior predictions to risk assessment.As a Predictive Modeler at our client, you’ll collaborate with data scientists, analysts, and business stakeholders to create models that anticipate trends, optimize processes, and mitigate risks.

Your work will be essential in turning historical data into valuable forecasts that inform marketing, finance, and operational strategies.Key Responsibilities: Develop Predictive Models: Build and implement models for forecasting, customer behavior prediction, demand forecasting, and risk assessment.

You’ll leverage data to predict outcomes that drive informed decision-making across various departments.

Conduct Data Exploration and Feature Engineering: Analyze datasets to identify trends, patterns, and relevant features.

You’ll prepare data for modeling by cleaning, transforming, and selecting variables that enhance model accuracy.

Collaborate on Model Deployment and Integration: Work closely with data engineers and software developers to deploy predictive models into production.

You’ll ensure models are scalable, maintainable, and optimized for real-time applications.

Optimize and Maintain Model Performance: Continuously monitor model accuracy and refine models based on new data and performance metrics.

You’ll implement retraining workflows to maintain reliability over time.

Apply Advanced Statistical and Machine Learning Techniques: Use techniques such as regression analysis, time-series forecasting, classification, and clustering to solve complex forecasting problems.

You’ll stay updated on the latest methods to improve model performance.

Create Reports and Visualizations for Insights: Develop reports and visualizations that communicate model outputs and forecasts to stakeholders.

You’ll ensure that insights are actionable and accessible for non-technical users.

Stay Updated on Industry Trends and Modeling Tools: Keep current with advancements in predictive modeling, machine learning, and data tools.

You’ll bring innovative techniques and tools that improve forecasting accuracy and efficiency.