Associate Technical Scientist, GCC, India
The Data Scientist is responsible for using analytical techniques to solve and support complex data science problems. This role will work alongside senior team members to leverage machine learning tools that advance Assurant’s business. The Data Scientist will refresh existing ML models and bring maturity to the data science solutions.
This position will be Remote at our India location. But we are looking for the candidates from Bangalore, Chennai & Hyderabad regions only.
What will be my duties and responsibilities in this job?
Creating Value Through Data (15%)
Produce clear, insightful, understandable work products (visualizations, reports, presentations, etc.) to outline actionable recommendations. Transform data into insights by leveraging internal and external tools (e.g., 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 (30%)
Develops machine learning solutions for complex business problems; examine data and develop machine learning solutions for adding business value. Devises new algorithmic approaches to solving difficult quantitative problems using large-scale enterprise data sources. Develop automated ML models to standardize the refresh process to drive data consistency and quality.AI Product Maturity, Support & Maintenance (40%)
Support re-training and enhancement of existing ML models to facilitate growth and maintenance of AI products. Proactively identify the opportunities to drive and engage the data science and engineering teams to bring maturity to the AI product implementation methodology. Ensures data and model governance is established to comply with internal audit requirements and ensures compliance with data governance and data privacy policies. Support ad hoc analytical projects.Communicating Insights (5%)
Presents analysis and resulting recommendations to senior team members. Leverages data to present compelling business cases to optimize investments and operations.Support Data Strategies (10%)
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 teams to discover areas of analytical needs.What are the requirements needed for this position?
3 years - Experience in developing ML models, large scale solution implementation, data engineering & management, business analysis, research, statistics, applied mathematics, business intelligence, or related fields. 3 years - Experience with data science tools (e.g., Python, PySpark, SQL, Hadoop, Advanced Excel, Tableau, Power BI, Sawtooth, CART, R, 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. 1 year experience in developing and implementing Generative AI algorithms and applications. Bachelor’s Degree in Statistics, Economics, Applied Mathematics, Computer Science, or Information Management; or equivalent is required. Writes efficient code that incorporates best practices and standardized methodologies for implementing Data Science solutions.What other skills/experience would be helpful to have?
Master’s Degree preferred in business, mathematics, computer science, or a related field. Experience in performing statistical analyses, such as predictive modeling, time series analysis, exploratory data analysis, segmentation, cluster analysis, retention, etc. 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 the insurance industry. Experience with cloud technologies (e.g., Apache Spark, Azure (Databricks, Azure ML, Cognitive Services)).#AssurantProudPK
#LI-Remote
Any posted pay range considers a wide range of compensation factors, including candidate background, experience, and work location, while also allowing for salary growth within the position.
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.
For U.S. benefit information, visit myassurantbenefits.com. For benefit information outside the U.S., please speak with your recruiter.
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 13 countries and awarded the Fortune America’s Most Innovative Companies recognition in 2023, 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.
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.