Senior Manager - Advanced Analytics

Bangalore, Karnataka, India

Chubb

Chubb insurance products and services in Germany

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Responsibilities

  • Collaborate with cross-functional teams and stakeholders to identify business requirements and objectives, manage deliverables against timelines, present of results and implement the model.
  • Utilize advanced statistical analysis techniques to perform hypothesis testing, A/B testing, and predictive modeling.
  • Stay abreast of the developments in the rapidly changing field of AI and machine learning.
  • Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise.
  • Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business.
  • Use broad spectrum of NLP, Machine Learning, and deep learning techniques to extract impactful features from unstructured data.
  • Develop and implement models that help with drawing risk related insights from large datasets to aid business decision making; Ensure that the model can meet the desired KPIs postproduction. Develop metrics to measure business performance and monitor the effectiveness of data-driven initiatives.
  • Collaborate with IT teams to optimize data collection, storage, and retrieval processes to support efficient and reliable data analytics.

 

Requirements 

  • Sound understanding of Generative AI based models and Prompt Engineering and LLMs to drive innovation and generate valuable insights from the data.
  • Strong grasp of foundational ML concepts, including Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning.
  • Good knowledge in machine learning tools and libraries (matplotlib, ggplot, scikit-learn, h2o,  MLlib, etc.)
  • Proficient in Python with strong capabilities in data engineering, data transformation, data analysis and data dashboard building. Knowledge of R/SQL would be an add-on. 
  • Strong understanding of BERT and Transformers models is highly desired for this position. 
  • Bachelor's degree in computer science, Statistics, Math, Actuarial, or related quantitative fields. Advanced degree in data science, business analytics would be an add on.
  • Minimum 6 years of hands-on experience in data analytics fields would be good.
  • Previous exposure to/ knowledge of the insurance industry will be an added advantage. 

A deep passion for staying up to date with the latest advances and trends in the fields of ML, AI, 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing BERT Business Analytics Computer Science Data analysis Data Analytics Deep Learning Engineering Generative AI KPIs LLMs Machine Learning Mathematics Matplotlib NLP Predictive modeling Prompt engineering Python R Scikit-learn SQL Statistics Testing Transformers Unstructured data Unsupervised Learning

Region: Asia/Pacific
Country: India

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