Principal Engineer - Data Science at Marsh

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Analysis, Machine Learning, Statistical Analysis, Data Mining, Risk Modelling, Inferential Statistics, Data Visualization, SQL, Natural Language Processing, Predictive Modeling, Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees

Industry

Insurance

Description

Company: Marsh Description: Marsh is seeking a candidate for following position based out our office in Mumbai : Principal Engineer - Data Science What can you expect? This position is for an individual contributor in Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading tools. Core Responsibilities: Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Machine Learning models, and finalizes with results that unlock insight for clients and colleagues Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Serves as an internal expert resource and champion for data science within Marsh and MMC We will count on you to: Hands on expertise in Python and Data related packages such as pandas, numpy, matplotlib, streamlit etc. Mine and analyze data to drive optimization and implement business strategies Build machine learning algorithms based on the business ask Deploy API on the platform by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc. Use advanced analytics to augment consulting deliverables with data backed outputs Conduct research on the clients risk areas and prepare a point of view for consulting. What you need to have: Bachelors Degree in Engineering, Computer Science, Data Science, or related fields 2+ years of experience in the field of Data Science, AI research or similar fields Ability to develop strong internal/external client oriented solutions Superior detail orientation, excellent communication and interpersonal skills Hands on expertise of modern programming languages such as Python and SQL Understanding Risk modelling and inferential statistics. Knowledge of insurance contracts and risk business in general is a plus What makes you stand out: Understanding of insurance and risk management Experience of building data visualization in MS-excel/PowerBI Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. Click here to return to the MMC Careers Site Marsh McLennan (NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's 76,000 colleagues advise clients in over 130 countries. With annualized revenue approaching $17 billion, Marsh & McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations meet the health, wealth and career needs of a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit mmc.com, follow us on LinkedIn and Twitter @mmc_global or subscribe to BRINK.

Responsibilities

Develop modeling approaches for implementing new analytics-based tools to understand and address risk. Consult with senior colleagues on complex financial and statistical analyses and develop new market-leading tools.