Company:
Oliver Wyman
Description:
Oliver Wyman is a global leader in management consulting. With offices 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation.
Our 7000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies.
Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]
For more information, visit www.oliverwyman.com
Follow Oliver Wyman on Twitter @OliverWyman
Practice Overview
Practice: Data and Analytics (DNA) - Analytics Consulting
Role : Associate Director - Data & Analytics.
Location: Gurugram, India
At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally.
Our Mission and Purpose
Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams.
Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results.
We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members.
The Role and Responsibilities
We are looking to hire an Associate Director in Data Science & Data Engineering Track. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries.
In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions.
In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction.
Your responsibilities will include
Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges
Exploring large-scale data and crafting models to answer core business problems
Working with partners and principals to shape proposals that showcase our data science and analytics capabilities
Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building
Advocating best practices in modelling and code hygiene
Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects
Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them
Keeping up with emerging state-of-the-art modelling and data science techniques in your domain
Your Attributes, Experience & Qualifications
Bachelor's or Master’s degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering)
Prior experience in data science, machine learning, and analytics
Passion for problem-solving through big-data and analytics
Pragmatic and methodical approach to solutions and delivery with a focus on impact
Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment
Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications
Excellent verbal and written communication skills and complete command of English
Willingness to travel
Collaborative team player
Respect for confidentiality
Technical Background (Data Science)
Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet)
Prior experience in designing and deploying large-scale technical solutions leveraging analytics
Solid foundational knowledge of the mathematical and statistical principles of data science
Familiarity with cloud storage, handling big data, and computational frameworks
Valued but not required:
Compelling side projects or contributions to the Open-Source community
Experience presenting at data science conferences and connections within the data science community
Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence
Technical Background (Data Engineering)
Prior experience in designing and deploying large-scale technical solutions
Fluency in modern programming languages (Python is mandatory; R, SAS desired)
Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue
Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle
Experience with big data tools like Hadoop, Spark, Kafka
Demonstrated knowledge of data structures and algorithms
Familiarity with version control systems like GitHub or Bitbucket
Familiarity with modern storage and computational frameworks
Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Valued but not required:
Compelling side projects or contributions to the Open-Source community
Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet)
Familiarity with containerization technologies, such as Docker and Kubernetes
Experience with UI development using frameworks such as Angular, VUE, or React
Experience with NoSQL databases such as MongoDB or Cassandra
Experience presenting at data science conferences and connections within the data science community
Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence
Interview Process
The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what you’re looking for when applying for the role, and your potential value-add to our team.
Roles and levels
In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.
Oliver Wyman is an equal-opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers
Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan 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 McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan 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.
