Data Scientist building production ML systems and deploying autonomous AI agents for Walmart. Collaborating across teams to drive business insights from complex data and enhance operational efficiency.
About the role
- GIS Specialist supporting the delivery of geospatial solutions for pricing, underwriting, and risk management decisions. Collaborating with data scientists and engineers in a dynamic environment.
Responsibilities
- Collect, process and analyze complex geospatial datasets relevant to insurance operations and transform into actionable insights and recommendations to support pricing, underwriting and product strategies.
- Create high-quality maps, dashboards and visualizations for business users.
- Support spatial risk assessments, catastrophe modelling and exposure analysis.
- Communicate model results and findings effectively to both technical and non-technical stakeholders.
- Collaborate with business and engineering partners to enhance geospatial modelling solutions and tools and integrate with business operations.
- Support innovation and continuous improvement in the use of geospatial data and analytics.
- Stay current with advancements in GIS technology and best practices.
Requirements
- University degree in Geography, GIS, Data Science, Mathematics, Physics, or a related field (Master’s degree is an asset).
- Proficiency in English, including excellent oral and written communication are required.
- Minimum of 3 years of experience in GIS analytics (QGIS, GEoserver, Postgres /PostGIS) and working with large datasets (industry or academic setting).
- Proficiency in Python and best practices in software engineering (modularity, code reuse, documentation).
- Strong analytical skills and a keen interest in geospatial concepts within insurance pricing.
- Excellent communication skills and ability to explain complex concepts clearly.
- Collaborative mindset and eagerness to learn and contribute within a high-performing team.
Benefits
- Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
- Hybrid flexible work model.
- Outstanding career development opportunities.
- We’ll support your professional development education.
- Competitive vacation package with the option to purchase 5 extra days off per year.
- Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
- Corporate wellness programs to support our employees’ physical and mental health.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist responsible for translating data into actionable insights for business strategy. Collaborating across teams to enhance data - driven decision - making.
Space Data Manager maintaining data integrity and supporting workplace decision - making at JLL. Collaborating with digital and analytics teams to deliver comprehensive reporting solutions and optimize efficiency.
Subject Matter Expert creating engaging educational content on data science and AI for high school students. Join a multidisciplinary team focusing on free science education globally.
Data Analyst transforming product data into strategic insights at Brazil's leading private bank. Collaborating with product teams to drive decisions based on data analysis.
Analista de Produto atuando na subscrição e vendas de frotas na HDI e Yelum. Colaborando com equipes multidisciplinares e conduzindo análises de mercado.
Data Scientist focusing on AI to enhance fraud prevention efforts at albo, a fintech company in Mexico. Lead the implementation of machine learning models and collaborate with teams on product integration.
Associate Clinical Data Manager leading data management activities for clinical research studies. Collaborating with internal teams and clients to ensure project success and compliance.
Lead Data Scientist with strong expertise in Data Science modeling within the CPG domain. Designing, developing, and deploying scalable forecasting solutions while leading projects and mentoring teams.
Gen AI Engineer/Data Scientist designing and deploying Generative AI solutions for business. Building and optimizing ML models with a focus on advanced analytics.