Data Science Advisor

The Cigna Group

. Lead the design, development, and implementation of predictive modeling, machine learning, generative AI, and other advanced analytics solutions aligned with user needs and business goals .

Posted 9/28/2026full-timeUnited StatesMid-LevelSenior💰 $107,700 - $179,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, machine learning, and advanced analytics, with a strong ability to develop scalable data pipelines and communicate complex insights effectively to diverse audiences. Proficient in leveraging cloud-based tools and healthcare data to drive business value and improve solution quality.

Highest-signal resume keywords

Predictive ModelingMachine LearningPython ProgrammingData VisualizationAWS Cloud Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingMachine LearningRegression AnalysisDecision TreesNeural NetworksClusteringTime-Series AnalysisSQLR ProgrammingSAS

Soft Skills

CollaborationCritical ThinkingConsultingCommunication

Tools & Technologies

Scikit-learnTensorFlowPyTorchTableauApache Spark

Industry Keywords

Healthcare DataICD-10Generative AILarge Language ModelsData Pipelines

Tech Stack

Tools & technologies

ApacheAWSCloudPythonPyTorchScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead the design, development, and implementation of predictive modeling, machine learning, generative AI, and other advanced analytics solutions aligned with user needs and business goals
Build and improve supervised and unsupervised models using regression, decision trees, random forests, neural networks, clustering, segmentation, time-series analysis, topic modeling, sentiment analysis, and Bayesian analysis
Develop scalable data pipelines and analytics workflows using large healthcare datasets and modern cloud-based tools
Turn complex findings into clear insights, visual stories, and practical recommendations for technical and non-technical audiences
Partner with clinical, operations, technology, and business teams from early discovery through successful delivery
Provide thought leadership on advanced analytics, emerging AI methods, and responsible approaches that improve solution quality and business value
Work with curiosity, sound judgment, and a growth mindset in a fast-paced environment while maintaining high standards for accuracy and quality

Requirements

What you’ll need

Relevant experience in data science, advanced analytics, predictive modeling, machine learning, or a related field
Advanced programming skills in Python, R, SQL, SAS/SAS Enterprise Guide, or a similar analytics language
Hands-on experience developing predictive models using regression, decision trees, support vector machines, random forests, or neural networks
Experience with machine learning libraries or frameworks such as scikit-learn, MLlib, TensorFlow, or PyTorch
Ability to explain complex findings clearly and influence decisions with technical and non-technical partners
Strong collaboration, critical thinking, and consulting skills, with the ability to lead complex analytical work across teams
Internet connection through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload when working at home
Master's degree or PhD in a quantitative field is preferred
Experience with AWS cloud services, Apache Spark, and large-scale data pipelines is preferred
Knowledge of large language model technologies, including generative pretrained transformers, retrieval-augmented generation, agentic workflows, and vector databases is preferred
Experience with healthcare data, including claims and ICD-10, and knowledge of healthcare delivery processes is preferred
Experience with Tableau or another data visualization platform is preferred

Benefits

Comp & perks

Medical, vision, and dental benefits starting on day one
Well-being and behavioral health programs starting on day one
401(k)
Company-paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Leaves of absence
Annual bonus plan eligibility
Hybrid work arrangement
Cable broadband or fiber optic internet requirement for occasional or permanent home working