Machine Learning Data Scientist

Job Type Full-time Description

Tower Hill Insurance Group has an exciting opportunity for a talented Machine Learning Data Scientist who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.   

The Machine Learning (ML) Data Scientist develops actionable insights and recommendations in support of business objectives using in-house and external data sources. This position utilizes problem-solving skills to collaborate with business and data engineering professionals for timely and reliable delivery of data solutions. This role leverages the team’s deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.

ESSENTIAL DUTIES AND RESPONSIBILITIES

· Collaborate with technical stakeholders and business partners to understand strategy, objectives, and questions. Bring structure to business requests, translate requirements into an analytical project approach, and create visualization mockups.

· Acquire and validate structured / unstructured data to verify its quality. Conduct exploratory data analysis to reveal deficiencies and opportunities. 

· Perform analysis of historical data to uncover trends and insights, using advanced analytical methods including statistical and machine learning based methods.

· Visualize and report using dashboarding tools such as Power BI and Python libraries to support internal and external communication of research findings.

· Develop, own, and manage recurring analytic or reporting processes. 

· Develop comprehensive documentation to communicate underlying data / tools framework and deliverables to both technical and non-technical stakeholders.

ADDITIONAL DUTIES

This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.

Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION 

High School Diploma or GED required. Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or related field preferred.

EXPERIENCE 

Minimum of five (5) years of relevant work experience in data engineering, analytics, and/or business intelligence required, including the following:

· Proficiency in SQL and Python. 

· Experience with data storytelling through visualization tools.

· Strong written and verbal communication skills. Strong storytelling and presentation abilities to communicate complex technical concepts and insights to diverse non-technical stakeholders.

Proven ability to lead and execute in client-focused environments.

Knowledge of statistical and machine learning based methods. 

The following work experience is highly preferred: 

· Strong programming skills in Python libraries with experience using PySpark and Pandas for large-scale data processing.to clean, transform, and integrate data from multiple sources into unified datasets.

· Hands on experience using python libraries (Python, scikit-learn etc.) to implement a variety of methods (e.g., hypotheses testing, multiple regression), exploratory (e.g., clustering, PCA, correlations), anomaly detection, and AI-ML techniques (supervised / unsupervised learning), visualization (matplotlib, seaborn, plotly), constrained optimization, forecasting, and, time series analyses.

· Minimum of three plus (3+) years of experience in Power BI.

· Experience in Snowflake cloud data platform and AWS (S3, Glue).

· Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus. 

CERTIFICATIONS

AWS Certifications in AI or ML preferred.