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Internship Data Science
Accident Fund Holdings, Inc.Lansing, MI, United States- Promoted
Middle School Science Teacher
Mid-Michigan Leadership AcademyLansing, MI, US- Promoted
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Varsity TutorsLansing, MI, USFORENSIC PATHOLOGY PHYSICIAN
AMN HealthcareMI, United StatesMiddle School Science
County : IoscoIosco, US- Promoted
Internship Data Science
Emergent HoldingsLansing, MI, United StatesBuilding Science Consultant
ClearesultMichiganScience Teacher
Fitzgerald Public SchoolsMacomb, US- Promoted
Civil Engineer - Land Development
Robson ForensicLansing, MI, USTeacher – Secondary Science
County : MacombMacomb, USInternship Data Science
Accident Fund Holdings, Inc.Lansing, MI, United StatesJob Description
SUMMARY :
The data science team at AF Group is seeking an intern who's excited to get hands-on experience using statistics, machine learning and natural language processing to solve complex business problems and help deliver valuable insights to our claims and pricing business partners.
Check out the Internships at Emergent Holdings video to learn more.
JOB DESCRIPTION :
- Perform exploratory data analysis and feature engineering.
- Build predictive models using supervised and unsupervised learning approaches on structured and unstructured data.
- Train natural language processing models to extract information from notes and scanned documents.
- Conduct hyper-parameter tuning and feature selection.
- Evaluate model performance and create exhibits such as lift charts.
- Research new machine learning and statistics algorithms / concepts / frameworks.
- Communicate results via presentations, reports, and dashboards to both technical and nontechnical stakeholders.
- Assist with peer review of code.
- Learn about risk, pricing, claims handling and gain an in-depth understanding of property and casualty insurance.
- Attend sprint planning and daily standups and present work completed during biweekly sprint reviews.
EMPLOYMENT QUALIFICATIONS :
EDUCATION OR EQUIVALENT EXPERIENCE : Should hold or be pursuing a bachelor's or master's degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Engineering, Physics, Actuarial Science, or similar analytical STEM field .
EXPERIENCE : With proper education and projects (either personal or scholastic) no prior work experience necessary.
SKILLS / KNOWLEDGE / ABILITIES (SKA) REQUIRED :
Gradient boosted trees e.g. XGBoost, LightGBM, etc.
WORKING CONDITIONS :
The qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.
Actual compensation decision relies on the consideration of internal equity, candidate's skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $18 and $33.
We are an Equal Opportunity Employer. Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.