Manager - Data Engineering

Marsh & McLennan Companies 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:

IJP Manager - Data Engineering

Last date to apply - 21st May 24

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.

What can you expect?

This position is for an individual contributor in Data Engineering, who will develop and implement data pipelines and other data projects using leading-edge techniques in ETL and natural language processing as applied in commercial insurance and risk management. This position consults a variety of internal stakeholders and develops approaches for new, market-leading analytics-based tools. The successful candidate will work closely with a number of key stakeholders to:

• Develops data models, schemas and data architecture for implementing new, market-leading analytics-based tools to support clients and colleagues understand and address risk
• Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds supporting data structures to Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
• Demonstrates skill in data mining, and/or data extraction techniques, using Python combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with Data Engineering and Data Science teams 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 engineering within Marsh and MMC

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

• Experience in developing data pipelines on cloud solutions such as AWS or Azure
• Extract and transform data from unstructured data sources using modern transformers such as BERT, RoBERT etc
• Build Data Pipelines and Data extraction algorithms based on the business ask
• Understand common schema designs like star schema, snowflake schema design
• Expertise in SQL and No-SQL
• Comfortable in using ODBC connections and other types of connections
• Expertise in traditional data infrastructure such as MS-SQL
• Fair knowledge of Pyspark, Hadoop, Big Data etc
• Deploy API on the platform by understanding the technical ask
• Use advanced analytics to augment consulting deliverables with data backed outputs

What you need to have

• Master's Degree in Math, Statistics, Data Science, Actuarial Science or related field
• 5-7 years of experience in the field of Data Engineering or Data Science
• Expertise in Python, NLP, Data Extraction techniques using Python
• Expertise in ETL knowledge, including familiarity with machine learning and NLP techniques
• Ability to face difficult and sometimes complex problems
• Ability to influence others within and outside of the job function regarding approach and procedures
• Ability to develop strong internal/external client oriented solutions
• Superior detail orientation, excellent communication and interpersonal skills
• Knowledge of modern programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorch

Eligibility:

•Minimum 12 months experience in current role/ position.

•Should have at least "On track" or equivalent rating in last appraisal

•Should not be under any Performance Continuity Plan, or had any official Disciplinary action within the last 3 months

•Should not have applied for any other IJP within MMGS in the last 3 months

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

Marsh McLennan (NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's 85,000 colleagues advise clients in 130 countries. With annual revenue of over $20 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 redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit , or follow us on LinkedIn and Twitter.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, caste, gender identity or any other characteristic protected by applicable law.