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Full-time
bachelor degree
Professional Development Opportunities, Career Opportunities, Well-being Rewards
Posted 29d ago
Apply by Jul 15
~40 hrs/week
Responsibilities
Develop modeling approaches and machine learning algorithms to address risk and unlock insights for clients. Serve as an internal expert in data science by conducting research and augmenting consulting deliverables with data-backed outputs.
Requirements
Requires a Bachelor's degree in Engineering, Computer Science, Data Science, or a related field with 0-1 year of experience. Must have hands-on expertise in Python, SQL, and risk modeling with strong communication skills.
Full job description
Company:
Marsh
Description:
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.
We will count on you to:
Hands on expertise in Python and Data related packages such as pandas, numpy, matplotlib, streamlit etc.
Hands on expertise in Power BI.
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
0-1 year 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 is the worlds top insurance broker and risk advisor. Marsh 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 helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.
Marsh 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 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 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.
Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.Marsh 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 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 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.
Related keywords
Data ScienceAI ResearchRisk ManagementInsuranceInferential StatisticsPythonSQLPower BIMachine LearningTime Series ForecastingClusteringGLMRegressionBoostingDecision TreesPandas
This LinkedIn page is closed. Please follow us at Marsh on LinkedIn.
Offices: 1166 Avenue of the Americas, New York, NY 10036, US
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How many Science & Research jobs are open in Mumbai City, India right now?
There are currently 234 open science & research positions in Mumbai City, India listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Mumbai City, India?
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