Looking for your next opportunity as a Data Scientist?
Explore positions that leverage your skills in data modeling, analytics, and machine learning to drive business results. If you are an experienced professional ready to solve complex problems with data, DW Simpson can connect you with opportunities that align with your expertise. For employers, we help you find top-tier data science talent to strengthen your analytics team.
What Does a Data Scientist Do?
A Data Scientist transforms raw data into actionable insights. They design and implement models, interpret trends, and support strategic decision making. In this role, you will work closely with stakeholders across business units to solve problems and uncover opportunities through data analysis.
- Developing and maintaining actuarial models for pricing, forecasting, reserving, or predictive analytics
- Conducting data-driven studies and providing insights to business leaders
- Collaborating across underwriting, finance, analytics, risk, and operations teams
- Preparing deliverables such as rate filings, loss forecasts, or portfolio analysis
- Communicating findings clearly to stakeholders and guiding business recommendations
Key Responsibilities of a Data Scientist
- Build and maintain predictive and statistical models to support business objectives
- Analyze large and complex datasets to identify patterns and trends
- Develop and deploy machine learning algorithms
- Collaborate with cross-functional teams to integrate data-driven solutions into operations
- Communicate technical findings to non-technical audiences in clear and actionable terms
- Ensure data integrity, governance, and compliance with relevant regulations
- Stay current with emerging technologies, tools, and best practices in data science
What Qualifications Define a Top Data Scientist?
The strongest candidates bring:
- At least 3–5 years of experience in data science, analytics, or related fields
- Proven success applying statistical methods and machine learning to real-world business challenges
- Proficiency in programming languages such as Python, R, or SQL
- Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop)
- Strong data visualization skills with tools such as Tableau or Power BI
- Advanced degree in Data Science, Computer Science, Mathematics, Statistics, or a related field preferred
What Skills do Successful Data Scientists Have?
- Predictive Modeling and Machine Learning
- Statistical Analysis and Hypothesis Testing
- Data Wrangling and Feature Engineering
- Natural Language Processing or Computer Vision (as applicable)
- Python, R, SQL
- Machine Learning Libraries (scikit-learn, TensorFlow, PyTorch)
- Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Cloud Computing: AWS, Azure, GCP
- Big Data Tools: Spark, Hadoop
- Problem Solving and Critical Thinking
- Communication and Data Storytelling
- Cross-Functional Collaboration
- Project Management and Prioritization
Your Data Science Career Partner at DW Simpson
DW Simpson connects data science professionals with high-impact roles in the insurance industry where they can make measurable contributions to business strategy. We also partner with employers to identify, attract, and secure data talent that meets their technical and cultural needs.
Looking to Recruit a Data Scientist?
We work with organizations to fill critical data science positions quickly and effectively. Whether you need an experienced modeler, a machine learning expert, or a versatile analytics leader, DW Simpson delivers candidates who can excel in your environment.