Data Scientist

About us

bolt is the leading insurance exchange for the P&C insurance industry, uniting distributors, and providers on a single platform to transform the way insurance is bought and sold. The result is the world's biggest exchange, working with two-thirds of America's leading carriers and connecting more people with ways to protect the things they value.

In this position you will…

bolt is looking for a talented
Data Scientist
to join our growing AI & Data Analytics team. You'll work alongside our technical leadership to build data-driven solutions that power intelligent decision-making across our insurance platform.

In this role, you'll focus on extracting insights from complex datasets, building predictive models, and developing analytical solutions that directly impact our customers' success. You'll work within our sophisticated, multi-tenant SaaS platform, contributing to both traditional machine learning applications and cutting-edge GenAI solutions.

This is a hands-on role perfect for a data scientist who enjoys solving complex business problems through advanced analytics, statistical modeling, and machine learning techniques

You will be responsible for…

Data Analysis & Modeling

• Conduct exploratory data analysis to uncover patterns, trends, and insights in insurance and business data
• Build and validate predictive models for risk assessment, customer behavior, and business optimization
• Perform statistical analysis, hypothesis testing, and causal inference to support business decisions
• Develop anomaly detection systems and behavioral analysis models

Machine Learning Development

• Design and implement machine learning models using Python and modern ML frameworks
• Contribute to GenAI and LLM applications, including RAG-based systems and NLP solutions
• Build and maintain data pipelines for model training and inference
• Optimize model performance through feature engineering and hyperparameter tuning

Data Engineering & Infrastructure

• Work with big data tools (Spark, Hadoop, Hive) to process large-scale datasets
• Develop and maintain ETL pipelines for data preparation and model serving
• Collaborate on MLOps practices including model versioning, monitoring, and deployment
• Build APIs and integrations to serve model predictions to business applications

Business Impact & Collaboration

• Partner with Product, Engineering, and Business teams to translate requirements into analytical solutions
• Create clear, actionable reports and visualizations for stakeholders
• Present findings and model results to both technical and non-technical audiences
• Support data-driven decision making across the organization

Research & Innovation

• Stay current with latest developments in data science, ML, and AI technologies
• Experiment with new techniques and methodologies to improve model performance
• Contribute to the team's knowledge base and best practices
• Participate in code reviews and technical discussions

For you to be successful…

We expect you to be able to demonstrate the following key competencies:

• Impactful: Has a clear understanding of team's objectives and aligns efforts to these goals Empowered to be quick to act and take steps to address issues
• Curious: Engages in learning activities and is interested in understanding different ways of doing things including the key activities performed by others in team. Keeps up to date on relevant frameworks, applications, software, and/or tools
• Collaborative: Builds diverse networks and cooperative key working relationships to work in partnership with others. Co-operates with team members to resolve problems and achieve goals
• Creative: Identifies beneficial new approaches and ways of looking at problems, introduces them within team. Experiments with new trends and innovations and is an early adopter where they can benefit team
• Literacy – Digital, Tech & Data: Proficient and competent in navigating and using digital, data and technology tools and software applications relevant to role including performing basic trouble shooting strategies

You will require the following qualifications and skills

Education & Experience

• Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field
• 5+ years of hands-on experience in data science, machine learning, and statistical modeling
• Proven experience building and deploying ML models in production environments

Programming & Data

• Strong proficiency in Python and SQL
• Solid understanding of object-oriented programming principles
• Experience with data manipulation libraries (pandas, numpy, scikit-learn)
• Proficiency in statistical analysis and hypothesis testing

Machine Learning & AI

• Experience with ML frameworks (TensorFlow, PyTorch, or similar)
• Knowledge of deep learning and modern ML techniques
• Hands-on experience with GenAI and foundation models (preferred: AWS Bedrock, Databricks)
• Experience building NLP applications (text classification, chatbots, document processing)
• Understanding of RAG architectures and LLM fine-tuning

Data & Infrastructure

• Experience with big data tools (Spark, Hadoop, Hive, or similar)
• Knowledge of cloud platforms (AWS strongly preferred, Azure, GCP)
• Experience with data visualization tools and techniques
• Basic understanding of MLOps practices and model deployment
• Familiarity with REST APIs and data integration

Statistical & Analytical Skills

• Strong foundation in statistics, probability, and experimental design
• Experience with A/B testing and causal inference methods
• Knowledge of predictive modeling and time series analysis
• Understanding of model evaluation metrics and validation techniques

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication skills with ability to explain complex concepts clearly
• Collaborative mindset with cross-functional teams
• Self-motivated with strong attention to detail
• Curiosity and eagerness to learn new technologies

Nice to Have

• Experience in insurance, financial services, or similar regulated industries
• Knowledge of reinforcement learning techniques
• Experience with real-time data processing and streaming analytics
• Familiarity with data governance and model risk management
• Experience with advanced visualization tools (Tableau, Power BI, etc.)

Diversity and Inclusion

At bolt, we are diverse and inclusive. We value each person's unique skills, background, and identity. We never discriminate on cultural background, religion, sex, gender, gender identity or expression, sexual orientation, age, disability, veteran status, genetic information, marital or family status or any legally protected status. Everyone belongs. And because everyone's different, we're also flexible in the ways we work, so each person can bring their best efforts every day.