5 days ago

Data Scientist

Lensa

Hybrid
Full Time
$100,000
Hybrid

Job Overview

Job TitleData Scientist
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$100,000
LocationHybrid

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Job Description

Data Scientist

At Sedgwick, you'll be part of something truly meaningful, joining 33,000 colleagues dedicated to helping people worldwide navigate unexpected challenges. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. There's no limit to what you can achieve here.

Sedgwick is recognized by Newsweek as one of America’s Greatest Workplaces National Top Companies, certified as a Great Place to Work®, and listed among Fortune Best Workplaces in Financial Services & Insurance.

Sedgwick is the world’s leading risk and claims administration partner, helping clients thrive by navigating the unexpected. The company’s expertise, combined with advanced AI-enabled technology, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for a rapidly changing and complex risk landscape.

Primary Purpose of the Role

As a Data Scientist, you will develop and manage predictive modeling assignments from conception through completion. This involves communicating results, making recommendations to management, and ensuring model ownership, implementation, and monitoring. Your goal will be to spot trends and gain maximum insight to give Sedgwick a competitive advantage.

Are you an Ideal Candidate?

We are looking for enthusiastic candidates who thrive in a collaborative environment, are driven to deliver great work, are customer-oriented, and are naturally empathetic.

Essential Responsibilities May Include

  • Execute data science projects identified by Sr Data Scientists, leadership, and stakeholders.
  • Help to build, prototype, and deploy machine learning models in sandbox and production environments.
  • Produce reports to communicate metrics and outcomes of stakeholder interest.
  • Assist with developing and maintaining end-to-end ETL data pipelines.
  • Work to explore new internal data sources and their utility within projects.
  • Communicate modeling challenges, findings, and outcomes to stakeholders.

Qualifications

  • Insurance claims knowledge preferred.
  • Minimum one year of predictive modeling, data science, and analysis experience.
  • Solid background in using data visualization tools and libraries.
  • Experience with data exploration, data wrangling, and feature engineering.
  • Experience writing Python or R code, and working in notebook environments.
  • Knowledge of common unsupervised/supervised machine learning techniques.

Taking Care of You

  • Career development and promotional growth opportunities.
  • A diverse and comprehensive benefits offering including medical, dental, vision, 401k, PTO, and more.

Work environment requirements for this opportunity include:

  • Physical: Computer keyboarding
  • Auditory/visual: Hearing, vision, and talking
  • Mental: Clear and conceptual thinking ability; excellent judgment and discretion; ability to meet deadlines

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. We encourage all qualified candidates to apply, even if your experience doesn’t perfectly align with every qualification, as we are building a diverse, equitable, and inclusive workplace.

Key skills/competency

  • Predictive Modeling
  • Data Analysis
  • Machine Learning
  • Python Programming
  • R Programming
  • Data Visualization
  • ETL Data Pipelines
  • Feature Engineering
  • Stakeholder Communication
  • Insurance Claims

Tags:

Data Scientist
predictive modeling
data analysis
machine learning
ETL
data visualization
feature engineering
communication
reporting
prototyping
insights
Python
R
SQL
machine learning
data pipelines
sandbox environments
production environments
notebook environments
data visualization tools
cloud platforms

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How to Get Hired at Lensa

  • Research Sedgwick's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their 'caring culture'.
  • Customize your resume: Highlight experience in predictive modeling, machine learning, Python/R, ETL, and data visualization, particularly if you have insurance claims knowledge.
  • Showcase your impact: Provide quantifiable examples of how your data science projects have driven insights or competitive advantage in past roles.
  • Prepare for technical questions: Review common unsupervised/supervised ML techniques, data exploration, feature engineering, and data pipeline concepts.
  • Demonstrate empathy and collaboration: Be ready to share examples of how you thrive in collaborative environments and prioritize customer-oriented solutions.

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