Oliver Wyman - Associate Director - Data and Analytics (DNA)

Practice Overview
PracticeData and Analytics (DNA) - Analytics ConsultingRole Associate Director - Data & Analytics.LocationGurugram, IndiaAt 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 Indias 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.
PurposeOur 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 ResponsibilitiesWe 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. Youll 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 Masters 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 ProcessThe application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre 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.