Data Scientist at Assurant in Bengaluru, Karnataka, India

Data Scientist Location: Bengaluru Data Scientist, Assurant, GCC-India The Data Scientist is responsible for using analytical techniques to solve complex business problems. This role will work alongside senior team members to leverage machine learning tools that advance Assurant’s business. The Data Scientist will present findings to the business and must be comfortable communicating to all levels of the organization. This position will be in Bangalore at our India location. What will be my duties and responsibilities in this job? Creating Value Through Data (25%) Produce clear, insightful, understandable work products (visualizations, reports, presentations, etc.) to outline business opportunities and actionable recommendations Transform data into insights through leveraging internal and external tools (e.g., R, SAS, Python, SQL, Hadoop, Excel, Sawtooth, Power BI, etc.) to identify and quantify opportunities Build studies that add substantial value to the decision-making process through proactive data analysis, reporting, and research Model Development (50%) Develops machine learning solutions for complex business problems; examine data and develop use cases to identify artificial intelligence/machine learning solutions Provides feedback to product and engineering teams on machine learning solution design and development and communicate the approach and implementation of the machine learning solution Works independently with mentorship from senior team members and/or leadership of the Data Science team on leveraging existing frameworks and models for known use cases around machine learning Devises new algorithmic approaches to solving difficult quantitative problems using large scale enterprise data sources Communicating Insights (5%) Presents analysis and resulting recommendations to senior management Leverages data to present compelling business cases to optimize investments and operations Communicates and educates both technical and non-technical employees on analytics and data-driven decision making Project Management (10%) Leads projects and assists in development of project plans, conducting analysis/modeling, hypothesis testing, presenting complex information for various audiences in simplified terms, and identifying next steps and future opportunity Mentors junior team members in technical proficiency, code reviews, and business acumen Collaborates with team members to prioritize requests requiring multiple resources for thorough project completion within stated timelines Support Data Strategies (5%) Remains abreast of developments in the field(s) of insurance, management, and data sciences by attending self-development programs, interacting with peers, and reviewing pertinent literature. Incorporates advancements when practicable and cost effective. Participate and drive data modeling and governance best practices Proactively engages internal and external teams to discover areas of analytical needs Advances company-wide understanding and implementation of AI and machine learning as well as matures the team’s practices and procedures, leveraging learnings from existing implementations Participates in the talent acquisition process by screening and interviewing candidates at all levels Product Leadership (5%) Work cross-functionally with business owners to develop innovative advanced analytics products that will increase customer experience, capitalize growth opportunities, deliver competitive advantage and improve decision making Analyze effectiveness of analytical products and services to constantly improve tools, procedures, and workflows that minimize risk and enhance customer experience Ensures data and model governance is established to comply with internal audit requirements and ensures compliance with data governance and data privacy policies Drive Analytics as a Product (AaaP) and provide thought leadership to Assurant’s Data Analytics COE, questioning traditional wisdom, current standard practices, and capabilities. What are the requirements needed for this position? 2-5 years - Experience in business analysis, research, statistics, applied mathematics, data management, business intelligence, or related fields 2-5 years - Experience with data science tools (e.g., R, Python, SQL, Hadoop, Advanced Excel, Tableau, Power BI, Sawtooth, CART, etc…) and relational database software 2+ years - Experience in data analysis that includes translating insights into recommendations 2+ years - Experience in an analytical role involving data extraction, analysis, statistical or machine learning modeling and communication Master’s Degree in Statistics, Economics, Applied Mathematics, Computer Science, or Information Management; or equivalent is required What are the Preferred requirements needed for this position? Master’s Degree preferred in business, mathematics, computer science, or related field Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization Experience with data storytelling and distilling complex information into understandable ideas Experience working in insurance industry Experience with data science tools (e.g., R, SAS, Python, SQL, Hadoop, Advanced Excel, Tableau, Power BI, Sawtooth, CART, etc.) and relational database software Ability to provide innovative approach to problem solving and demonstrate a track record of such Possesses strong analytical and research skills Ability to work independently on all project types Experience in performing statistical analyses, such as predictive modeling, time series analysis, exploratory data analysis, segmentation and cluster analysis, retention, etc. Experience with cloud technologies (e.g. Apache Spark, Azure (Databricks, Azure ML, Cognitive Services)) Helping People Thrive in a Connected World Connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more at jobs.assurant.com. What’s the culture like at Assurant? Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 14 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way. Company Overview Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products. AI and Biometric Usage Assurant supports the responsible use of Artificial Intelligence (AI), but we want to know the real you. Visit our AI Usage Guidelines page to understand what we expect from applicants regarding their use of AI during the application process. Employment is contingent upon completion of a required identity verification process, which may include biometric technology, where permitted by applicable law and subject to applicable notice and consent requirements. See our Privacy Notice to learn about Assurant’s privacy practices, including our use of AI-enabled technology, automated decision making, and biometric information. Equal Opportunity Statement Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions. Job Scam Alert Please be aware that during Assurant's application process, we will never ask for personal information such as your Social Security number, bank account details, or passwords. Learn more about what to look out for and how to report a scam here.