Apollo Finvest - Data Scientist - R/Python

Key Responsibilities

• Collaborate with business stakeholders to identify opportunities for leveraging data and AI to drive business solutions in the insurance space.
• Design and implement forecasting models, predictive models, classification systems, and deep learning solutions tailored to insurance-specific use cases.
• Own the end-to-end delivery of data science projects - from data exploration and model development to validation, deployment, and monitoring.
• Work with large and complex insurance datasets to extract meaningful patterns and drive
  

• Apply advanced statistical techniques, machine learning algorithms, and deep learning
  

• Collaborate with data engineers and DevOps teams to productionize ML models and scale solutions on cloud platforms like Azure or AWS.
• Maintain awareness of the latest AI/ML tools, techniques, and industry trends to keep
  

• Mentor junior team members and provide technical leadership where needed.
• Build dashboards and reports to visualize the performance of models using tools such as
  

• Proven experience in delivering complex AI/ML projects within the insurance domain preferably life, general, or health insurance.
• Expert-level proficiency in R and Python, with hands-on experience in :
• Machine Learning : XGBoost, LightGBM, Random Forest, SVM, etc.
• Deep Learning : CNNs, RNNs, LSTMs, Transformers (using TensorFlow, PyTorch, or Keras).
• Statistical modeling & forecasting : ARIMA, Prophet, Exponential Smoothing, etc.
• Strong understanding of modeling concepts, feature engineering, hyperparameter tuning,
  

• Experience with data manipulation and transformation using pandas, dplyr, SQL, etc.
• Familiarity with cloud platforms (Azure or AWS) and their respective ML/AI services (Azure ML, Sagemaker, etc.
• Good understanding of data engineering concepts data pipelines, ETL processes, and
  

• Ability to articulate findings clearly to both technical and non-technical stakeholders.
• Strong problem-solving ability and attention to detail in a fast-paced, high-performance
  

• Knowledge of data visualization tools such as Tableau, Power BI, or Plotly is a :
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5 - 10 years of relevant experience in data science roles, preferably in insurance or financial services.
• Certifications in Machine Learning, Deep Learning, or Cloud-based AI services (e.g., Microsoft Azure AI Engineer, AWS ML Specialty) are a plus