Data Scientist
Lensa
Job Overview
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Job Description
About Sedgwick
By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Primary Purpose of the Data Scientist Role
To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.
Are You an Ideal Candidate?
We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic.
Essential Responsibilities May Include
- Execute data science projects as 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 with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
- Experience writing Python or R code, and notebook environments
- Knowledge of common unsupervised/supervised ML 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
Work environment requirements for entry-level opportunities include:
- Physical: Computer keyboarding
- Auditory/visual: Hearing, vision and talking
- Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Key skills/competency
- Predictive Modeling
- Machine Learning
- Data Visualization
- Python/R Programming
- ETL Data Pipelines
- Data Wrangling
- Feature Engineering
- Insurance Claims Knowledge
- Statistical Analysis
- Communication Skills
How to Get Hired at Lensa
- Research Sedgwick's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight predictive modeling, Python/R, and insurance claims experience relevant to Sedgwick.
- Showcase analytical projects: Prepare to discuss data science projects, emphasizing problem-solving and business impact, aligning with Sedgwick's domain.
- Demonstrate collaborative spirit: Highlight experiences working in teams and communicating complex findings, reflecting Sedgwick's collaborative environment.
- Understand Sedgwick's industry: Familiarize yourself with risk and claims administration to show genuine interest and industry insight.
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