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    Data Science Manager - Mumbai, India - Marsh McLennan Global Services India Private Limited (MMGS)

    Marsh McLennan Global Services India Private Limited (MMGS)
    Marsh McLennan Global Services India Private Limited (MMGS) Mumbai, India

    1 week ago

    Default job background
    Description
    Marsh McLennan Global Services (
    MMGS) India is seeking candidates for the following position based in the Mumbai office:

    Job Profile:
    Manager - Data Science

    MMC Business Unit:
    Marsh
    MMGS Function: Knowledge Services

    Marsh

    is a global leader in insurance broking and risk management.

    In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face.

    Marsh Advisory


    is the consultative branch of Marsh, provides solutions in the increasing needs of our clients to implement risk management programs within their organization.

    Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk.

    Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, pandemic, ERM / BCP / BCM, climate change, supply chain, reputational, or other risks, Marsh Advisory can help.


    MMGS


    is a global knowledge center for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations.

    The

    Knowledge Services


    function under
    MMGS aims to provide specialized services in the domain of Research, Consulting, Data Analytics, Data Science, Actuarial and Design.

    This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Incumbent is expected to be an expert of Data Science algorithms, Business Analytics and Data Manipulation. Expertise in Python and SQL is a must. Experience with Insurance or Banking industry is a plus.

    Position DetailsThis position is for an individual contributor in Data Science, who will develop and implement models using leading-edge techniques in machine learning, predictive modeling, artificial intelligence, and natural language processing as applied in commercial insurance and risk management.

    This position will also be using their JavaScript knowledge to develop front end applications and deploy the solutions on traditional and cloud servers.

    This position consults with clients and colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading analytics-based tools.

    ResponsibilitiesDemonstrates 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 organizationDemonstrates JavaScript capabilities to develop front end web based toolDevelops API's and deploys them on traditional serversDemonstrates excellent knowledge in writing complex SQL queries and integratinServes as an internal expert resource and champion for data science within Marsh and MMCCoaches team members on the delivery of analytics-based tools and analyses and presentation of findingsWe will count on you to3-7 years of experience in the field of Data Science, Data Engineering or similar fieldExplore and understand business nuances and help drive business strategiesMine and analyze data to drive optimization and implement business strategiesBuild machine learning algorithms based on the business askDeploy API on the platform by understanding the technical askBuild and deploy front end web applicationsDevelop statistical custom data models and algorithms from scratch to enhance current value proposition and new product developmentUtilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc.

    Use advanced analytics to augment consulting deliverables with data backed outputsConduct research on the client's risk areas and prepare a point of view for consultingQualificationsBE/B.

    Tech/MCA/MSc Computer Science and other programing related educationExpert statistical modeling knowledge, including familiarity with machine learning techniquesAbility to face difficult and sometimes complex problemsAbility to develop strong internal/external client oriented solutionsSuperior detail orientation, excellent communication and interpersonal skillsKnowledge of modern programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorchKnowledge of JavascriptKnowledge of web frameworks like Flask, Django, FastAPI etcKnowledge of SQLWhat makes you stand out?Understanding of insurance and risk managementKnowledge and demonstrated experience of advance NLP and computer visionExperience of building data visualization in Plotly/Dash/D3.

    jsHands on experience with stochastic or econometric modelling
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