Junior Data Scientist

Junior Data Scientist at Amwins Group, Inc. — Research Report

Introduction

The Junior Data Scientist role at Amwins Group, Inc. offers a unique entry point into the high-stakes world of commercial insurance analytics. This position is valuable because it allows candidates to apply advanced statistical modeling to real underwriting decisions, directly impacting risk assessment and profitability. The internship or job period has a deadline that is not mentioned, meaning candidates should apply as soon as possible to secure a spot. Securing this role provides a powerful career boost, offering exposure to industry-leading data infrastructure and the potential for full-time conversion.

Overview of Amwins Group, Inc.

Amwins Group, Inc. is a premier wholesale insurance broker and technology provider specializing in commercial lines. The company operates as a powerhouse in the insurance sector, connecting independent agents with specialized carriers for complex risks. Amwins is distinct because it combines traditional brokerage expertise with cutting-edge digital platforms, creating a hybrid model that drives efficiency. Their niche lies in serving specialized markets like waste hauling, health, and vision care, where standard underwriting rules often fail.

In terms of industry positioning, Amwins competes with major brokers but maintains a unique advantage through its proprietary technology stack. Key products include their digital underwriting platforms and specialized program underwriting services for niche industries. The company boasts significant market presence, with a reputation for rapid growth and innovation in the commercial insurance space. According to Glassdoor reviews, 72% of employees recommend working at Amwins, and 76% hold a positive outlook for the business, reflecting a strong culture of collaboration and investment in employee development.

People want to work here because Amwins values collaboration and actively invests in its workforce. The work environment is dynamic, blending the analytical rigor of data science with the fast-paced nature of insurance brokerage. This environment fosters professional growth, making it an ideal place for aspiring data scientists to build a robust portfolio.

Junior Data Scientist Role

Role Overview

A Junior Data Scientist at Amwins focuses on extracting, transforming, and analyzing data to calculate rates and forecast risk. Day-to-day, the intern or employee works on data pipelines that feed into underwriting models, ensuring data completeness and accuracy. The role has a direct impact on the business by improving the precision of rate calculations and identifying emerging risk trends. This work supports the Program Underwriters in making faster, more informed decisions on complex submissions.

Detailed Responsibilities

The core tasks for this role involve a mix of data engineering and statistical analysis. Key responsibilities include:

• Gathering and organizing information to ensure the completeness of incoming submissions from internal and external partners.
• Utilizing financial reporting tools to extract data for profitability, cost, claims expense, and forecasting analysis.
• Applying quantitative models to underwrite rates with executive summaries that justify financial impacts.
• Identifying risks and accomplishing goals under general supervision while relying on independent judgment.
• Collaborating with underwriting teams to validate data integrity and refine predictive models.

Day-to-Day Workflow

A realistic daily workflow begins with reviewing data ingestion logs to ensure new submissions have been processed correctly. The data scientist then spends time cleaning and transforming raw data using tools like Python or SQL, preparing it for analysis. Mid-day often involves collaborating with underwriters to discuss specific risk cases or to validate model outputs. The afternoon is typically dedicated to building or refining predictive models, analyzing performance metrics, and documenting findings. The day ends with updating project trackers and preparing brief summaries for the team.

Tools and Technologies

Amwins utilizes a robust tech stack that supports its data-driven underwriting approach. The primary tools include Python for scripting and statistical modeling, and SQL for database management. Data scientists also work with financial reporting platforms that handle profitability and claims expense metrics. The environment likely includes cloud-based data warehouses for storing large volumes of underwriting data. Proficiency in Microsoft Office is also expected for reporting and documentation purposes.

Skills and Requirements

Technical Skills

Candidates must possess strong technical skills in data manipulation and statistical analysis. Essential tools include Python, SQL, and familiarity with data visualization libraries. Domain knowledge in insurance, health, or vision care is highly preferred, as it helps in understanding the nuances of risk. A solid grasp of quantitative methods and the ability to work with financial reporting tools are critical for success in this role.

Soft Skills

Soft skills are equally important, particularly communication and teamwork. The ability to explain complex data findings to non-technical underwriters is vital. Problem-solving skills are required to identify data anomalies and resolve them efficiently. Candidates should demonstrate curiosity and initiative, as Amwins prioritizes these traits over perfection. A collaborative mindset helps in working effectively with cross-functional teams.

Experience Expectations

Amwins targets motivated candidates in relevant programs, such as Risk Management, Insurance, or Data Science. A graduate degree is not required; the company values practical skills and a strong academic foundation. Candidates should have a portfolio of projects or coursework that demonstrates their ability to handle data. While a specific GPA is not mandated, strong academic performance is generally expected. Entry-level positions typically require 0 to 1 years of experience, making this an ideal opportunity for recent graduates or juniors.

Salary and Benefits

The estimated pay range for a Junior Data Scientist or similar entry-level data role at Amwins is between $55,000 and $60,000 annually, based on market data for comparable positions. Interns may receive a competitive stipend. Benefits include remote or hybrid work options, a learning budget for professional development, and access to industry-leading training resources. The company also offers full-time conversion opportunities for successful interns, providing a clear path to long-term employment.

Amwins Group, Inc. Hiring Process

Step-by-Step Hiring Stages

The hiring process at Amwins follows a structured sequence to identify the best candidates. The stages include:

1. Application: Submitting a resume and portfolio through the company portal.
2. Screening: An initial review by the ATS and recruiting team to check for key qualifications.
3. Assignment: Completing a data analysis task or case study relevant to underwriting.
4. Interviews: Participating in technical and behavioral interviews with the data and underwriting teams.
5. Offer: Receiving a formal job offer if the candidate meets all criteria.

Application Timeline

Candidates should apply as soon as they find the posting, as the deadline is not mentioned. The typical process duration ranges from two to four weeks, depending on the volume of applicants. It is advisable to submit applications early to avoid missing potential interview slots.

Screening Methods

The screening process relies on an Applicant Tracking System (ATS) that scans for specific keywords like "Python," "SQL," "underwriting," and "data analysis." A strong portfolio is crucial, as it demonstrates practical experience with data projects. Candidates should ensure their resumes clearly highlight relevant coursework and any insurance-related experience.

Interview Preparation

Example Interview Questions

Recruiters may ask questions that test both technical knowledge and problem-solving abilities. Examples include:

• "How would you handle a dataset with missing values for claims expense forecasting?"
• "Explain how you would use Python to extract and transform data for rate calculation."
• "Describe a project where you used quantitative models to solve a business problem."
• "How do you communicate complex data findings to a non-technical underwriter?"

How to Answer

When answering, use the STAR method (Situation, Task, Action, Result) to structure your responses. Start by describing the context of the problem, then explain the specific task you faced. Detail the actions you took, such as the tools or methods used, and conclude with the measurable result of your work. This approach demonstrates clarity and a results-oriented mindset.

What Recruiters Evaluate

Recruiters evaluate candidates based on their technical proficiency, problem-solving skills, and ability to collaborate. They look for evidence of curiosity and initiative, as these are key traits at Amwins. The ability to explain data concepts clearly and the relevance of past projects to the insurance industry are also critical factors in the hiring decision.

How to Get Selected

Practical Tips

To get selected, tailor your resume to highlight specific data skills and any insurance-related experience. Include a portfolio with projects that demonstrate your ability to handle real-world data challenges. Network with current Amwins employees or recruiters to gain insights into the company culture and hiring priorities. Submit your application early and follow up professionally to show your enthusiasm.

Common Mistakes to Avoid

Candidates often get rejected for failing to highlight relevant technical skills or for submitting generic resumes. Avoid using vague language that does not demonstrate specific experience with data tools. Neglecting to include a portfolio or failing to explain the impact of past projects can also lead to rejection. Do not assume that a lack of a deadline means you can wait; applying late is a common mistake.

How to Stand Out

To stand out, create a portfolio that includes a project specifically related to insurance data or underwriting. This shows you understand the industry context. Network with Amwins employees on LinkedIn to learn about their work and express your interest. Tailor your submission to emphasize how your skills align with Amwins' focus on collaboration and innovation. Demonstrating a strong grasp of the company's niche markets can also make a significant difference.

Final Thoughts

The Junior Data Scientist role at Amwins Group, Inc. is a fantastic opportunity for aspiring data professionals to make a real impact in the insurance industry. With a focus on collaboration, innovation, and data-driven decision-making, Amwins offers a supportive environment for growth. Take action now by preparing your resume, building your portfolio, and applying early to secure your spot. Your future in data science could start here.

Frequently Asked Questions

Q: What is the salary for Junior Data Scientist at Amwins Group, Inc.?
A: The estimated salary range is between $55,000 and $60,000 annually, based on market data for similar entry-level data roles.

Q: How competitive is it to get hired at Amwins Group, Inc.?
A: The process is competitive, as Amwins values specific technical skills and industry knowledge. A strong portfolio and tailored application are essential to stand out.

Q: What skills are most important for this role?
A: The most important skills include proficiency in Python and SQL, quantitative modeling, and a basic understanding of insurance or underwriting concepts.