Associate Data Scientist designing and evaluating LLM - based applications for Manulife. Collaborating on AI initiatives and gaining experience in a supportive environment.
About the role
- Senior Data Scientist leading advanced data modeling initiatives to automate and transform processes at Farmers. Collaborating with business leaders to deliver AI/ML solutions that enhance efficiency and decision-making.
Responsibilities
- Lead the design, build, and validation of quantitative models (descriptive, predictive, optimization/simulation) for underwriting automation and other business functions.
- Develop and deploy ML solutions that accelerate quote-to-bind processes, automate risk assessment, and enable straight-through processing for standard risks.
- Create sophisticated risk and customer segmentation strategies; build real-time scoring engines to support instant decisioning.
- Pull, clean, and manage datasets; design models using advanced statistical and machine learning concepts (e.g., regression, GLMs, decision trees, ensemble modeling etc.).
- Own business outcomes (OKRs and KPIs) and communicate results and insights to business leaders and stakeholders.
- Perform research and development on new algorithms, modeling concepts, and technical tools; recommend adoption of new approaches into our analytics toolkit.
Requirements
- 5-7 years as Data Scientist or related technical role in a delivery oriented environment required.
- Experience within the insurance industry and insurance data preferred.
- 5-7 years of experience building and deploying machine learning models in production environments with proven track record of building models that impact business KPIs
- Advanced proficiency in Python and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch).
- Expert proficiency in data management programming (SQL) and real-time data processing pipelines.
- Experience integrating and working with third-party data APIs and ETL pipelines.
- Strong written and oral communication skills; ability to present to senior executives and non-technical stakeholders.
- Well-organized and able to lead projects from a technical standpoint.
- Experience leading projects using CRISP-DM or similar frameworks.
- Experience with insurance data and industry-specific modeling.
- Knowledge of AI-powered development tools (e.g., GitHub Copilot) for accelerated model development.
- Proven expertise in processing automation and workflow optimization using ML/AI.
- Mastery of advanced statistical and machine learning concepts, including regression, GLMs, decision trees, ensemble modeling, clustering, and SVM.
Benefits
- Bonus Opportunity (based on Company and Individual Performance)
- 401(k)
- Medical
- Dental
- Vision
- Health Savings and Flexible Spending Accounts
- Life Insurance
- Paid Time Off
- Paid Parental Leave
- Tuition Assistance
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist III performing analytics for fraud client experience at Truist. Leveraging data science to improve business outcomes and minimize risk in financial services.
Data Scientist developing analytics and technology platforms to improve health care at CVS Health. Collaborating with cross - functional teams to deliver powerful solutions focusing on automation and efficiency.
Data Scientist supporting national security initiatives through data analysis and quality assurance. Working with complex datasets to ensure accuracy and drive meaningful insights.
Senior Data Scientist designing and leading projects to enhance machine learning classifiers for cancer detection. Collaborating with cross - functional teams in a healthcare company focused on early cancer detection.
Placement Data Science Engineer at Medialab building data software and infrastructure for media advertising. Working on Python tools, automated pipelines, and AI solutions in a hybrid role based in London.
Data Scientist specializing in structured and unstructured data analysis and ML solutions for predictive analytics and NLP. Join a fast - paced team in Hyderabad, India.
Data Scientist at Capital One leading machine learning initiatives to unlock customer behavior insights. Collaborating with product teams to enhance digital experiences across a vast dataset.
As a Data Scientist at Capital One, collaborate with cross - functional teams on AI/ML technologies. Drive innovation using big data, impacting customer financial experiences.
Lead Data Scientist focused on Reinforcement Learning algorithms at Fractal Analytics. Leading teams delivering scalable machine learning models in a fast - paced environment.