Senior Specialist - Data Science, ESG

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a part of the Data Analytics team in Knowledge Services function of Marsh McLennan Global Services (MMGS), the colleague will support our ESG consultants with advanced risk models. The role is in MMGS’ Mumbai office at Hiranandani, Powai.

• Do you have experience in using AI/ML and other data science models?
• Do you consider yourself having an eye for detail?
• Are you a natural leader with a keen business eye?

If you have been part of a successful team, enabling data backed decision-making then apply to this role to hear more about how your career can blossom with Marsh.

In this role, you will have the opportunity to help clients mitigate some of their most difficult problems across various risks. Candidates must have strong experience in a variety of data mining/analytics methods, using a diverse set of data tools, building and implementing models, using/creating algorithms and creating/running simulations

What can you expect?

• Centralize and accelerate R&D prototyping
• Liaise closely with the ESG consultants to enhance and develop econometric, supervised and unsupervised models to establish relationship of losses with various themes
• Extensive research on how to tailor and tweak the existing models to make them more efficient and bespoke to the client’s business
• Data curation and development of local algorithms and running simulations
• Build data pipelines and automate end to end process of a model to create speed and efficiency

What is in it for you?

• Opportunity to be a part of world’s leading insurance broker and risk management company
• Opportunity to learn about emerging risks and build expertise in the same
• Opportunity to work on consulting projects with multi industry exposure
• A competitive salary, employee friendly policies, health care and insurance for you and dependants
• A respectful work environment that values healthy work-life balance
• Future career opportunities across a global organization
• Chance to be a part of a dynamic work culture that rewards innovation and collaboration
• Curated training programs to bring up to speed with enhancing and building knowledge on risk management
• Opportunity to work and grow in a diverse stakeholder environment with Marsh’s top Risk Consultants

We will count on you to:

• Mine and analyse data to drive optimization and improvement of product development and implementing business strategies
• Assess the need, effectiveness and discovery of new data sources and data gathering techniques through extensive research
• Develop custom data models and algorithms from scratch to enhance current value proposition and new product developments
• Apply state-of-the-art advanced analytics, quantitative tools, and modeling techniques to interpret, make inferences, and offer recommendations based on insights from the data
• Visualize the hypothesis and inferences from data using JavaScript, Tableau, PowerBI etc., and create a convincing storyline, which will be influential in implementing business strategies.
• Apply state-of-the-art NLP techniques for text processing, sentiment analysis, text classification etc.
• Work in a diverse environment by partnering with various Marsh teams to implement models and monitor outcomes
• Develop risk models related to Time Series Forecasting, Clusterring, GLM/Regression, Bossting, Trees etc
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Communicate the solution, its parameters, its assumptions and its inner workings to audiences who vary widely in their levels of technical fluency and seniority

What you need to have:

• We’re looking for someone with 5 to 8 years of experience building statistical models and associated data architectures
• Bachelor’s / Master’s in Statistics, Mathematics, Computer Science or another Engineering and quantitative field
• Strong problem solving skills with an emphasis on research & product development
• Knowledge and demonstrated experience of advanced statistical techniques, concepts and applications - Stochastic Modelling, GLM / Regression, Random Forest, Boosting, Trees, Text Mining, Social Network Analysis, etc.
• Experience of delivering outputs through Visualization using Python, JavaScript and Tableau
• Ability to apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions
• Expert level proficiency in statistical and computer languages like Python, R (good to have) SQL, etc.
• Strong knowledge of statistics along with experience in predictive and descriptive modelling techniques
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Experience in querying databases
• A drive to learn and master new technologies and techniques
• Excellent written and verbal communication skills for coordinating across teams

What makes you stand out?

• Strong academic rigour with statistics and data science skills from top tier colleges
• Knowledge and experience of open source visualization will give you an edge
• Advanced NLP techniques
• Experience of productionizing models
• Experience in Risk Management would be preferred, especially in climate and sustainability
• Strong programming skills and technical individual contributor
• Ability to take initiatives to strive for improvement in analytic techniques, processes and outputs