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.
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Senior Data ScientistPRIMARY PURPOSE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.
ESSENTIAL FUNCTIONS and RESPONSIBILITIES
- Builds, prototypes, and deploys machine learning models in production environments.
- Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
- Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders.
- Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources.
- Explores new internal and external data sources and assesses their commercial benefit.
- Mentors team members and serves as a subject matter expert in cross-functional discussions.
ADDITIONAL FUNCTIONS and RESPONSIBILITIES
- Performs other duties as assigned.
- Travels as required.
QUALIFICATIONS
Education & Licensing
Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.
Experience
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years 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 with natural language processing and healthcare data preferred.
Skills & Knowledge
- Proficiency writing code in Python or R and documenting for reproducibility
- Strong knowledge of reviewing other’s models and code
- Ability to use data visualization tools and libraries
- Strong data exploration, data wrangling and feature engineering skills
- Knowledge of application of supervised/unsupervised ML techniques
- Thorough knowledge of SQL to query relational databases
- Excellent oral and written communication skills, including presentation skills
- PC literate, including Microsoft Office products
- Analytical and interpretive skills
- Strong organizational skills
- Ability to create and complete comprehensive, accurate and constructive written reports
- Ability to work in a team environment
- Ability to meet or exceed Performance Competencies
WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodations.
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical: Computer keyboarding, travel as required
Auditory/Visual: Hearing, vision and talking
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. Management 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.Skills Required
- Ten years of related experience or equivalent combination of education and experience
- Three years of predictive modeling, data science, and analysis experience
- Experience with data visualization tools and libraries
- Experience with data exploration, data wrangling, and feature engineering
- Proficiency writing reproducible code in Python or R
- Knowledge of supervised and unsupervised machine learning techniques
- Thorough knowledge of SQL and relational databases
- Strong model and code review skills
- Excellent oral, written, and presentation skills
- Master's degree or Ph.D. in statistics, mathematics, computer science, data science, economics, or a related quantitative field
- Experience with natural language processing
- Experience with healthcare data
Sedgwick Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sedgwick and has not been reviewed or approved by Sedgwick.
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Leave & Time Off Breadth — Generous paid time off and paid holidays are emphasized, with PTO accruals increasing with tenure. Paid parental leave and caregiver support further expand time-off coverage.
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Healthcare Strength — Medical, dental and vision coverage is complemented by telemedicine and a personal health concierge. Wellbeing supports such as diabetes and weight-management programs, fertility services, and robust mental-health access (coaching, therapy, psychiatry) broaden care.
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Parental & Family Support — Paid parental leave and caregiver support are offered alongside family-forming resources. Fertility services and adoption assistance reinforce family-oriented benefits.
Sedgwick Insights
What We Do
From our modest beginnings as a regional claims administrator, Sedgwick has grown into a leading global provider of technology-enabled risk, benefits and integrated business solutions with 31,000+ colleagues, located across 80 countries. Through innovative product development, organic business development and strategic acquisitions, Sedgwick’s offerings continue to evolve beyond claims processing to meet the current and future needs of our clients. Our approach to delivering quality service in areas such as workers’ compensation, liability, property, disability and absence management goes far beyond just managing claims—we aim to simplify the process and reduce complexity, making it easy and effective for everyone involve.
Why Work With Us
We stay tuned into what our colleagues want and need and deliver a world-class colleague experience that demonstrates how much we value their unique contributions to our business. You’ll see and feel what it’s like to work for a company that’s committed to doing the right thing – for those we serve, for our planet and for each other.
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