• Execute. This means being constantly biased towards action, knowing the data, being in the details, setting a high bar and building strong collaborative relationships with other teams, thinking boldly, disambiguating, always thinking of the customer first, and rapidly iterating towards something demonstrably awesome. • Learn. Always exploring new techniques and technologies. Collaborating with team members and helping to push the practice forward. • Design and Deploy. Ability to design and deploy end-to-end AI systems and pipelines • Communicate. Ability to communicate clearly with clients and peers. • Requirements Gathering. Ability to work with business to define requirements to solve business problems and translate those into solutions • Management. Ability to manage your time and client expectations, as well as complete quality work on time and within budget

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers 2) led by advantaged underwriting in insurance 3) to protect the whole home As a leader in the home services software-as-a-service (“SaaS”) space, we’ve built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies. In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Data Scientist, Insurance Location: India Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we’d love for you to be a part of it as our Data Scientist. We are looking for a results-driven Data Scientist to join our high-impact team focused on transforming the insurance and home services industries. You will play a key role in leveraging Porch’s unique property data to drive innovation, improve risk estimation, optimize underwriting, and deliver a compelling product for customers and agents. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about delivering measurable business value. At Porch, data science is central to our mission of delivering value to customers and shareholders. You’ll be part of a team that values strategic thinking, technical excellence, and high-velocity impact. Join us to help shape the future of how people move, maintain, and improve their homes. What You Will Do As A Data Scientist - Model Development: Build and deploy advanced predictive models that support risk estimation, underwriting, and/or customer and agent satisfaction. - Data Exploration & Analysis: Conduct deep-dive analyses to uncover insights that inform strategic decisions across the business. - Cross-Functional Collaboration: Work closely with product, engineering, and business teams to scope projects and integrate data science solutions into operational workflows. - Innovation & Impact: Contribute to a culture of experimentation and continuous improvement, stay up to date on new technologies and innovation, and identify new opportunities to apply data science for competitive advantage. What You Will Bring As A Data Scientist - 8+ years’ professional experience, including 5+ years of experience in data science - Strong communication skills and ability to translate complex data into actionable insights - Experience building, deploying, and testing predictive models in high traffic environments - Solid understanding of statistical modeling, machine learning, and data wrangling - Proficiency in Python and R, along with strong SQL skills - Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP) - Experience in property insurance - Exposure to experimentation frameworks and causal inference methods - Experience with code versioning, documentation, and project management tools such as Git, Wikis/Confluence, and Jira/Rally, etc. - Proven experience working with US based business teams  - Excellent written and communication skills in English language. - Ability to work within core US business hours / time zone expectations - Eastern Standard Time (EST) overlap. - Working Hours: 8 Hours (Excluding breaks) 4 Core US Hours Overlap (7:30pm- 11:30pm IST) 4 flexible hours (IST)   - Workspace: A quiet space to work, an internet connection of at least 30 Mbps download | 10 Mbps upload The application window for this position is anticipated to close in 2 weeks (10 business days) from April 1, 2026. Please know this may change based on business and interviewing needs. What You Will Get As A Porch Group Team Member Pay Range*: 2,775,000 INR- 3,885,000 INR Annually *Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location. - Our benefits package will provide you with comprehensive coverage for your health, life, and financial well-being. - Our benefits include medical insurance, accident insurance and retiral benefits. - Our wellness programs include 12 company-paid holidays, 2 flexible holidays, privilege/earned leave, casual/sick leave, paid maternity and paternity Leaves, and weekly wellness events. #LI-PD1 #LI-Remote What’s next? Submit your application below and our Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have! Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work. Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.

• Act as team lead for data science projects • Produce insights and recommendations • Implement new statistical modeling capabilities • Apply machine learning to enhance operational efficiencies

• An expert in quantitive analysis, data mining, and the presentation of data beyond the numbers that understands how users interact with both consumer and business products • Able to partner with Product and Engineering teams to solve problems and identify trends and opportunities • Inform, influence, support and execute product decisions and product launches • Critical thinker with strong communication skills • Reliable, self-motivated, shows initiative • Able to work well within a team and independently • Product Operations and designing and evaluating experiments • Monitoring key product metrics, understanding root causes of changes in metrics • Building and analyzing dashboards and reports • Building key data sets to empower operational and exploratory analysis • Evaluating and defining metrics • Exploratory analysis • Proposing what to build in the next roadmap • Understanding ecosystems, user behaviors, and long-term trends • Identifying new levers to help move key metrics • Building models of user behaviors for analysis or to power production systems • Influencing product teams through presentation of data-based recommendations • Communicating state of business experiment results, etc to product teams • Spreading best practices to analytics and product teams • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica • Automating analyses and authoring pipeline via SQL and Python-based framework