Emergent Holdings · 10 hours ago
Internship - Advanced Analytics
Emergent Holdings is seeking an intern in their Data Science team to gain hands-on experience in machine learning, statistics, and natural language processing. The intern will work on solving complex business problems and delivering valuable insights to claims and pricing business partners.
Health CareInformation ServicesInformation TechnologyInsuranceMedical
Responsibilities
Perform exploratory data analysis and feature engineering
Resolve data-related challenges such as outliers, missing data, imbalanced target, etc
Build predictive models using supervised and unsupervised learning approaches on structured and unstructured data sets
Train language models to extract information from notes and scanned documents
Conduct hyper-parameter tuning and feature selection
Perform A/B testing
Provide explainable results on black-box models using SHAP, LIME, or similar techniques
Evaluate model performance and create exhibits such as lift charts
Learn about risk, pricing, claims, or actuarial science
Gain an understanding of insurance and how the business works
Present work completed during sprint reviews
Qualification
Required
Have status as either graduate student or third year undergraduate by the end of the spring term
Completed at least five courses related to data science, machine learning, statistical modeling, or optimization
Hold a cumulative GPA of 3.5 or better as of the most recent grading period
Be able to work full-time during normal business hours for this summer with a start date between mid-May and mid-June
Should hold or be pursuing a bachelor's or advanced degree in data science, statistics, mathematics, operations research, engineering, physics, actuarial science, or similar quantitative field
Comfortable programming in Python
Knowledge of SQL with ability to join multiple tables
Knowledge and experience with all of the following: Linear and logistic regression, Gradient-boosted decision trees e.g., LightGBM or similar, Neural network, K-means clustering
Knowledge of any two or more of the following: Causality modeling: regression discontinuity, matching (e.g. propensity score), meta-learners, etc., Natural language processing: TF-IDF, LDA, word2Vec, BERT, LLM, etc., Time series modeling using either linear model (e.g. ARIMA) or state-space model (e.g. Kalman filter) or neural network model (e.g. LSTM), Advanced clustering methods: T-SNE, Gaussian Mixture, or UMAP, Graph data mining and network science, Bayesian linear modeling, Collaborative filtering or low rank models, Mixed-effect modeling, Reinforcement learning, Linear programming using simplex or similar methods, Stochastic processes and Markov chains
Experience with Git repos for version control
Comfortable with cloud computing platforms like Azure, AWS, GCP
Company
Emergent Holdings
Emergent Holdings’ elite team makes lives, companies and communities better! Emergent Holdings is driven by a singular goal — improving the health and safety of our customers and our communities.
H1B Sponsorship
Emergent Holdings has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Recent News
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2025-06-21
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