Job Title: Principal Data Scientist
Tax Term: W2/1099 Only
Location: Basking Ridge NJ (Onsite)
Employment Type: Contract
Job Summary:
We are looking for a highly experienced Senior Data Scientist with deep expertise in the insurance domain to join our this role you will design build and deploy advanced machine learning and statistical models to solve complex insurance business problems. You will work with large-scale structured and unstructured datasets to generate actionable insights that support strategic decision-making across underwriting claims pricing risk and fraud functions.
This role requires strong hands-on expertise in Python R SQL machine learning and statistical modeling along with the ability to translate complex analytical outcomes into clear business insights for senior stakeholders.
Key Responsibilities
- Collect integrate and manage structured and unstructured data from multiple internal and external data sources
- Clean preprocess and transform raw datasets into analysis-ready formats
- Apply advanced statistical techniques and machine learning algorithms including supervised unsupervised and reinforcement learning
- Develop predictive and analytical models to support insurance use cases such as risk assessment fraud detection underwriting pricing and customer segmentation
- Implement techniques including regression classification clustering and time series analysis to uncover trends and patterns
- Build optimize and fine-tune machine learning models for insurance applications such as claims prediction and pricing models
- Design and execute model deployment strategies and monitor model performance post-deployment
- Translate analytical findings into clear actionable insights for business leaders and non-technical stakeholders
- Create data-driven reports visualizations and dashboards to enable informed decision-making
- Collaborate closely with business analysts actuaries product managers and IT teams to address business challenges using data-driven solutions
- Provide technical leadership guidance and mentorship to junior data scientists and team members
Qualifications
Required Qualifications
- 15 years of overall experience in data science with a minimum of 5 years in the insurance services industry
- Strong expertise in Python and R for data analysis machine learning and statistical modeling
- Advanced proficiency in SQL including data manipulation and query optimization
- Hands-on experience with machine learning frameworks and libraries such as scikit-learn TensorFlow XGBoost Keras and PyTorch
- Experience using data visualization tools including Tableau Power BI Matplotlib Seaborn and ggplot2
- Strong proficiency in data wrangling feature engineering and data preprocessing techniques
- Deep understanding of insurance business processes including underwriting claims pricing risk modeling and actuarial analysis
- Proven experience applying data science techniques to insurance-specific challenges such as fraud detection risk assessment and customer churn prediction
- Strong analytical and problem-solving skills with a data-driven mindset
- Excellent communication and presentation skills with the ability to explain complex analytical models to non-technical audiences
- Ability to work effectively in cross-functional and collaborative team environments
- Experience with cloud platforms such as AWS Google Cloud Platform or Microsoft Azure is a plus
Preferred Qualifications
- Experience working with big data technologies such as Hadoop Spark or Databricks
- Familiarity with actuarial science or advanced insurance-specific statistical methodologies
- Advanced experience in Natural Language Processing (NLP) for analyzing textual data such as claims descriptions and policy documents
- Strong background in predictive analytics and risk management within the insurance domain
Founded in 2014 ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK Canada and India we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions a highly knowledgeable team and proactive talent mapping ensure we remain at the forefront of the IT industry. ConglomerateIT is driven by our Center for Excellence and Innovation an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.
Job Title: Principal Data Scientist Tax Term: W2/1099 Only Location: Basking Ridge NJ (Onsite) Employment Type: Contract Job Summary: We are looking for a highly experienced Senior Data Scientist with deep expertise in the insurance domain to join our this role you will design build and deplo...
Job Title: Principal Data Scientist
Tax Term: W2/1099 Only
Location: Basking Ridge NJ (Onsite)
Employment Type: Contract
Job Summary:
We are looking for a highly experienced Senior Data Scientist with deep expertise in the insurance domain to join our this role you will design build and deploy advanced machine learning and statistical models to solve complex insurance business problems. You will work with large-scale structured and unstructured datasets to generate actionable insights that support strategic decision-making across underwriting claims pricing risk and fraud functions.
This role requires strong hands-on expertise in Python R SQL machine learning and statistical modeling along with the ability to translate complex analytical outcomes into clear business insights for senior stakeholders.
Key Responsibilities
- Collect integrate and manage structured and unstructured data from multiple internal and external data sources
- Clean preprocess and transform raw datasets into analysis-ready formats
- Apply advanced statistical techniques and machine learning algorithms including supervised unsupervised and reinforcement learning
- Develop predictive and analytical models to support insurance use cases such as risk assessment fraud detection underwriting pricing and customer segmentation
- Implement techniques including regression classification clustering and time series analysis to uncover trends and patterns
- Build optimize and fine-tune machine learning models for insurance applications such as claims prediction and pricing models
- Design and execute model deployment strategies and monitor model performance post-deployment
- Translate analytical findings into clear actionable insights for business leaders and non-technical stakeholders
- Create data-driven reports visualizations and dashboards to enable informed decision-making
- Collaborate closely with business analysts actuaries product managers and IT teams to address business challenges using data-driven solutions
- Provide technical leadership guidance and mentorship to junior data scientists and team members
Qualifications
Required Qualifications
- 15 years of overall experience in data science with a minimum of 5 years in the insurance services industry
- Strong expertise in Python and R for data analysis machine learning and statistical modeling
- Advanced proficiency in SQL including data manipulation and query optimization
- Hands-on experience with machine learning frameworks and libraries such as scikit-learn TensorFlow XGBoost Keras and PyTorch
- Experience using data visualization tools including Tableau Power BI Matplotlib Seaborn and ggplot2
- Strong proficiency in data wrangling feature engineering and data preprocessing techniques
- Deep understanding of insurance business processes including underwriting claims pricing risk modeling and actuarial analysis
- Proven experience applying data science techniques to insurance-specific challenges such as fraud detection risk assessment and customer churn prediction
- Strong analytical and problem-solving skills with a data-driven mindset
- Excellent communication and presentation skills with the ability to explain complex analytical models to non-technical audiences
- Ability to work effectively in cross-functional and collaborative team environments
- Experience with cloud platforms such as AWS Google Cloud Platform or Microsoft Azure is a plus
Preferred Qualifications
- Experience working with big data technologies such as Hadoop Spark or Databricks
- Familiarity with actuarial science or advanced insurance-specific statistical methodologies
- Advanced experience in Natural Language Processing (NLP) for analyzing textual data such as claims descriptions and policy documents
- Strong background in predictive analytics and risk management within the insurance domain
Founded in 2014 ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK Canada and India we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions a highly knowledgeable team and proactive talent mapping ensure we remain at the forefront of the IT industry. ConglomerateIT is driven by our Center for Excellence and Innovation an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.
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