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 techniquesYou will be responsible for…Data Analysis & ModelingConduct exploratory data analysis to uncover patterns, trends, and insights in insurance and business dataBuild and validate predictive models for risk assessment, customer behavior, and business optimizationPerform statistical analysis, hypothesis testing, and causal inference to support business decisionsDevelop anomaly detection systems and behavioral analysis modelsMachine Learning DevelopmentDesign and implement machine learning models using Python and modern ML frameworksContribute to GenAI and LLM applications, including RAG-based systems and NLP solutionsBuild and maintain data pipelines for model training and inferenceOptimize model performance through feature engineering and hyperparameter tuningData Engineering & InfrastructureWork with big data tools (Spark, Hadoop, Hive) to process large-scale datasetsDevelop and maintain ETL pipelines for data preparation and model servingCollaborate on MLOps practices including model versioning, monitoring, and deploymentBuild APIs and integrations to serve model predictions to business applicationsBusiness Impact & CollaborationPartner with Product, Engineering, and Business teams to translate requirements into analytical solutionsCreate clear, actionable reports and visualizations for stakeholdersPresent findings and model results to both technical and non-technical audiencesSupport data-driven decision making across the organizationResearch & InnovationStay current with latest developments in data science, ML, and AI technologiesExperiment with new techniques and methodologies to improve model performanceContribute to the team's knowledge base and best practicesParticipate in code reviews and technical discussionsFor 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 issuesCurious: 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 toolsCollaborative: Builds diverse networks and cooperative key working relationships to work in partnership with others. Co-operates with team members to resolve problems and achieve goalsCreative:

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 teamLiteracy – 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 skillsEducation & ExperienceMaster's or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field5+ years of hands-on experience in data science, machine learning, and statistical modelingProven experience building and deploying ML models in production environmentsProgramming & DataStrong proficiency in Python and SQLSolid understanding of object-oriented programming principlesExperience with data manipulation libraries (pandas, numpy, scikit-learn)Proficiency in statistical analysis and hypothesis testingMachine Learning & AIExperience with ML frameworks (TensorFlow, PyTorch, or similar)Knowledge of deep learning and modern ML techniquesHands-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-tuningData & InfrastructureExperience with big data tools (Spark, Hadoop, Hive, or similar)Knowledge of cloud platforms (AWS strongly preferred, Azure, GCP)Experience with data visualization tools and techniquesBasic understanding of MLOps practices and model deploymentFamiliarity with REST APIs and data integrationStatistical & Analytical SkillsStrong foundation in statistics, probability, and experimental designExperience with A/B testing and causal inference methodsKnowledge of predictive modeling and time series analysisUnderstanding of model evaluation metrics and validation techniquesSoft SkillsStrong analytical and problem-solving abilitiesExcellent communication skills with ability to explain complex concepts clearlyCollaborative mindset with cross-functional teamsSelf-motivated with strong attention to detailCuriosity and eagerness to learn new technologiesNice to HaveExperience in insurance, financial services, or similar regulated industriesKnowledge of reinforcement learning techniquesExperience with real-time data processing and streaming analyticsFamiliarity with data governance and model risk managementExperience with advanced visualization tools (Tableau, Power BI, etc.

)Diversity and InclusionAt 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.