Marsh McLennan Global Services India Pvt. Ltd. (MMGS)
MMGS is a global knowledge center for Marsh McLennan and houses teams, which work closely with colleagues across various operating units and locations. MMGS Knowledge Services (KS) is seeking candidates for the following position based in the Mumbai office:
Specialist - Data Science
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 centre 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. The successful candidate will have an opportunity to contribute to cutting edge analytics platform and products. The candidate 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 Financial Services industry is a plus.
What can you expect
Working with the UK Analytics team in ongoing developing and maintenance of the Marsh Loss Data Library to support actuarial modelling, thought leadership and claims benchmarking to provide comprehensive solutions related to insurance risk management. The successful candidate will work closely with a number of key stakeholders to:
- Design, develop, optimize, and maintain data architecture and pipelines
- Merge historical claims, premium and exposure datasets
- Develop algorithms to identify and de-duplicate the data.
- Create process automation - develop frameworks for automating and maintaining constant flow of data from multiple sources
- Enhance data sets using AI/ML
- Work with algorithms that match company information across multiple data sets
- Create process automation - develop frameworks for automating and maintaining constant flow of data from multiple sources
- Web scrapping use Python to fetch data from multiple online sources, cleanse it and build APIs if needed
- Assist management in steering stakeholder conversations.
- Help development of skillsets within team which would help meet various stakeholder objectives
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 risks in a holistic manner and build expertise in the same
- A competitive salary, employee friendly policies, health care and insurance for you and dependents
- 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
We will count on you to:
- Primarily work with the UK Analytics team to develop and enhance the Marsh Loss Data Library.
- The successful candidate will work closely with stakeholders across the globe to enhance the claims database, to support strategic objectives.
- Demonstrate experience to combine different datasets to create new information or investigate patterns
- Combine data from multiple sources, internal or external to help support our data strategy and enhance our analytical capabilities
- Communicate the solution, its parameters, its assumptions and its inner workings to audiences who vary widely in their levels of technical fluency and seniority
- Be client centric, be dynamic and effectively switch between projects to meet business priorities
What you need to have:
- Masters or Bachelor degree in Engineering/Computer Science or an equivalent degree from a reputed institute
- Well versed with several of text and image processing, performing exploratory data analysis using Python.
- Data cleansing and preprocessing/processing(lemmatization, tokenization, word2vec, regular expression)
- 1-4 years expertize on NLP based projects (Named entity recognition, POS tagging, word embedding, sentence and paragraph classifications LLMs). Have good exposure with retrained model Like BERT, ELMO and Hugging face models.
- 1-4 years of experience in data mining and data engineering leveraging NLP(Natural language processing),OCR(Optical Character Recognition) and other AI/ML techniques to build sophisticated solutions
- Have good exposure, dealing with RDBMS platform with SQL/No SQL skillsets along with good quantitative ability.
- The candidate should preferably, have understanding of insurance/reinsurance concepts related to Risk and Claims.
- You should be expert in Python and/or R programming and is able to create production level scripts
- You should have an ability to handle data upload/download and create data pipeline procedures using Python or any other language
What makes you stand out
- Strong academic rigor, and students passing with statistics and data science skills from top tier colleges
- Strong programming and technical skills and an individual contributor to drive projects independently
- Ability to take initiatives to strive for improvement in analytical techniques, processes and outputs
- Experience working with Informatica software.
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