Job Description
Insight Global is looking for Data Scientists to join the team of one of its leading Life Insurance customers in Metro Detroit. You will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sage maker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance.
Specific Responsibilities:
Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models.
Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis.
Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement
Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques.
Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed.
Forecast campaign results based on models built and validate forecast against actuals.
Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms.
Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building
Proactively identify opportunities for model improvement and need for additional modeling projects.
Maintain clear and organized documentation of data, methodologies, and results.
Implement automation in existing processes to improve overall efficiency.
Perform ad hoc analysis to support Marketing Distribution efforts
Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.
Compensation: 115k-187k. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . The EEOC "Know Your Rights" Poster is available here .
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Skills and Requirements
- Recent master's degree in either Statistics, Data Science, etc.
- Minimum 5+ years in Business Analytics
Extensive experience Agentic AI and ML learning
Solid background in statistical analysis & predictive modeling
Expertise in modeling algorithms
Strong Python & SQL coding skills
AWS monitoring/deployment cloud platform experience
Hands-on experience with AWS services like S3, Lambda, and SageMaker.
Experience with Data Engineering orchestration tools
Expertise in Power BI reporting/visualizations
Outstanding people skills
Attitude, motivation, communication skills Apache Airflow experience
Insurance industry experience
Marketing/marketing analytics domain experience null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .