Data Analysis, Insurance, 70k

Our client is a leading insurance company.

Responsibilities

• Design, develop, and deploy machine learning, AI, and advanced analytics solutions to solve complex business challenges.
• Build predictive models, recommendation engines, forecasting models, and intelligent decision-support tools.
• Explore Generative AI and Agentic AI use cases to drive innovation and automation.
• Develop interactive dashboards and reporting solutions using Power BI to deliver actionable business insights.
• Perform data exploration, feature engineering, model validation, and performance monitoring on large datasets.
• Partner with business stakeholders, technology teams, and data professionals to translate business requirements into scalable data solutions.
• Present insights, recommendations, and project outcomes to senior stakeholders and business leaders.
• Ensure all solutions follow data governance, privacy, and regulatory requirements.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Business Analytics, or a related quantitative discipline.
• 5+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.
• Strong hands-on programming skills in Python and SQL.
• Proven experience developing and deploying machine learning models in a production environment.
• Experience with machine learning techniques such as Classification, Regression, Clustering, Forecasting, Recommendation models, Propensity modelling
• Experience working with large and complex datasets.
• Knowledge of Generative AI, Large Language Models (LLMs), AI Agents, or intelligent automation is highly advantageous.
• Experience with Power BI, data visualization, and stakeholder-facing analytics projects.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Able to thrive in a fast-paced project environment and manage multiple initiatives concurrently.