Data Scientist - Outsourcing

About The Company
WTW is a leading global advisory, broking, and solutions company dedicated to helping organizations manage risk, optimize benefits, and grow. With a rich history of innovation and a commitment to client success, WTW offers a comprehensive suite of services across various industries, leveraging advanced analytics and technology to deliver tailored solutions. The company values diversity, inclusion, and continuous learning, fostering an environment where talented professionals can thrive and make a meaningful impact in the world of risk management and consulting.
About The Role
We are seeking a skilled and intellectually curious Data Scientist to join our dynamic team. This client-facing role requires a strong foundation in applied statistics, predictive modeling, and analytical techniques to solve real-world, business-driven problems. The ideal candidate will have experience working with modern analytics tools and cloud platforms, capable of translating complex data into actionable insights that support decision-making, performance improvements, and enhanced client outcomes. This position offers an excellent opportunity for early-career professionals or recent graduates with hands-on project or internship experience to develop their skills within a collaborative and innovative environment.
The role is primarily remote, with a preference for candidates willing to be on-site in Charlotte periodically. In-office presence a few times per month is highly valued for early career development, team collaboration, and client engagement. Note that employment-based visa sponsorship is not available for this position.
Qualifications

• 2-3 years of relevant professional experience, including 1-2+ years in a client-facing or stakeholder management role
• Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, or related quantitative field
• Hands-on experience with applied statistics, exploratory data analysis, and predictive modeling
• Proficiency in regression models (linear, logistic), classification, and ensemble methods
• Strong programming skills in R and/or Python, including key data science libraries
• Intermediate SQL query development and data extraction skills
• Experience with data visualization tools such as Power BI, Tableau, or ggplot2
• Familiarity with cloud analytics environments, file storage systems, and enterprise data access methods
• Ability to analyze structured and unstructured datasets with strong data wrangling capabilities
• Excellent communication skills to translate technical findings into business insights

Responsibilities

• Apply advanced descriptive and inferential statistical methods to explore data, evaluate hypotheses, and generate actionable insights
• Build, optimize, and interpret regression and classification models, including tree-based and ensemble techniques
• Develop robust data pipelines and analytic workflows using R or Python, supporting data ingestion, cleaning, feature engineering, and model deployment
• Create high-quality data visualizations, dashboards, and narratives to effectively communicate insights to technical and non-technical audiences
• Write and optimize SQL queries for data extraction, transformation, and validation across relational databases
• Implement analytics solutions within cloud environments such as Azure, Blob Storage, and SharePoint for scalable data processing and reporting
• Build and maintain reusable analytical assets and code libraries to streamline recurring analyses and support team capabilities
• Partner with product, operational, and technology teams in Agile development environments, applying MVP principles, user stories, and iterative feedback
• Engage with operational and client stakeholders to provide data-driven insights that enhance performance, quality, and client outcomes
• Communicate modeling approaches, assumptions, risks, and results clearly and credibly to diverse audiences

Benefits

• Competitive salary range of $90,000 - $125,000 USD annually
• Eligibility for an annual short-term incentive bonus
• Comprehensive health and welfare benefits, including medical, dental, vision, and flexible spending accounts
• Paid holidays, paid time off, and various leave options such as FMLA, bereavement, and parental leave
• Retirement benefits including a contributory pension plan and 401(k) savings plan
• Wellbeing programs and work/life resources, including Employee Assistance Program
• Opportunities for professional growth, development, and exposure to client-facing projects

Equal Opportunity
WTW is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected class. We encourage qualified individuals from all backgrounds to apply and join our team.