Job Description:Qualifications:
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian’s ongoing evolution.
Guardian’s EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data engineers, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian’s revenue growth, risk management and customer experience.
Guardian is seeking experienced individual contributor with a strong background in production ready AI/ML solutions. In this role as Senior Data Scientist, you'll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups. Successful candidate shall have strong technical foundation, excel in coding, strong skills in web frameworks, and have passion for analytical thinking and problem solving.
You Will:
Key Responsibilities
- Lead use case/workstream with junior data scientists
- Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
- Develop the user interfaces for quickly showcasing the solution
- Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
- Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
- Identification of source data and data quality checks both in model/solution development and in production
- Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
- Propose innovative ways to look at problems through using data mining and data visualization
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Present information using data visualization techniques; communicate results and ideas to key decision makers.
- Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies
- Consistent accuracy and thoroughness in performing work assignments
- Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
- Contribute to standardization of Data Science tools, processes, and best practices
You are:
You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You have excellent understanding of web frameworks for quickly showcasing the features and functionalities of the solution. You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
You have:
- 8+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
- 5+ years of hands-on ML modeling/development experience
- Solid understanding of data analysis and statistical modeling.
- Solid experience with web frameworks like Streamlit, Flask, Django etc
- Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Demonstrated track records in experimental design and executions
- Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
- Strong programming skills in Python
- Solid background in algorithms and a range of ML models
- Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
- Excellent analytical and problem-solving abilities with superb attention to detail
- Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
- Gurugram/ Chennai
Location:
This position can be based in any of the following locations:
Chennai
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday
What We Do
Who we are
Guardian makes a difference in the lives of people when they need us most. With over 160 years of stability and fiscal integrity, we are a trusted resource to generations of families and business owners, inspiring well-being and helping build financial confidence.
Today, we stand behind 29 million consumers, helping them prepare and plan for a bright future for themselves and their families. We help business owners care for their employees. And we help people recover and thrive in times of unexpected loss.
As a modern mutual insurance company, we believe in driving value beyond dividends. We invest in our colleagues and are building a progressive, innovative and inclusive culture. We uplift individuals and communities through thoughtful social and environmental programs.
What we stand for
In 1860, a community of immigrants joined together to insure and protect their businesses and families. They were guided by powerful ideals that we’ve continued to stand behind and evolved throughout the years: we do the right thing, we believe people count, we courageously shape the future together, and we go above and beyond for the people we serve.
Guardian employees embrace and live by these values every day. They remind us to put people at the heart of all we do so that we can help protect what matters most to you. Want to help bring these values to life? Join us for a rewarding career and the opportunity to shape the future.
Disclosures:
Financial information concerning Guardian as of December 31, 2022, on a statutory basis: Admitted assets = $76.0 billion; liabilities = $67.2 billion (including $55.0 billion of reserves); and surplus = $8.8 billion. Dividends are not guaranteed. They are declared annually by Guardian’s Board of Directors.
Guardian® is a registered trademark of The Guardian Life Insurance Company of America. © Copyright 2023 The Guardian Life Insurance Company of America 2023-156184 Exp. 5/25
