Lead Consultant- Data Scientist, Analytics

1 week ago


Gurgaon, Haryana, India Genpact Full time

With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands—and we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.
Welcome to the relentless pursuit of better.

Inviting applications for the role of Lead Consultant, Data Scientist, Analytics (Manager)
We are a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes for hundreds of Global Fortune 500 companies.
From New York to New Delhi and more than 20 countries in between, Genpact has the end-to-end expertise to connect every dot, reimagine every process, and reinvent companies' ways of working.

Our focus is to make sure we have the right set of people delivering what we promise. People who think with design, dream in digital, and solve problems with data and analytics. People who obsess over operations, focus on the details, and lead change by being curious, incisive and courageous in everything they do—on a foundation of unyielding integrity.

We are Genpact. Transformation happens here. Come, be a part of our exciting journey
Responsibilities

• The Data Scientist will define, develop, validate, and deploy Machine Learning/NLP/Statistical and mathematical Models and perform quantitative analyses from data provided, which will be delivered using data sourced from Data Lakes, Cloud and other databases/sources. S/he will be part of a multi-disciplinary squad formed around business initiatives.

• The candidate will be expected to successfully prioritize and manage multiple analytical projects and ad-hoc requests to support business initiatives, including:

• Supporting end-to-end statistical analysis, project management, and delivery; interfacing between various business and technical teams to compile requirements and design solutions

• Perform complex data mining activities for advanced analysis of data, including but not limited to Segmentation, optimization and forecasting

• Involved in quantitative/statistical modeling for consumer and commercial lending portfolios

• Design, develop and implement analytical solutions to support business directives
Analyze and extract relevant information from large amounts of both structured and unstructured data to help generate insights for business success based on hypotheses provided

Qualifications we seek in you
Minimum qualifications

• Masters' degree in a quantitative discipline, with experience in quantitative data analytics and modeling

Minimum Skills

• Experience in design of Statistical models using regression (linear/logistic/GAM), optimization, time series, survival modeling techniques

• Experience in application of supervised & unsupervised AI/ML techniques including Deep Learning techniques, NLP, Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc. to solve business problems across banking/financial services and other verticals

• Proficient in R, Python, Spark and/or any other open-source programming language for data mining and model development

• Knowledge of database systems and experience in managing large datasets

• Agile development and delivery

• Proactive in approach

• Very strong analytical skills

• Ability to manage & prioritize high quality deliverables

• Must have right attitude and level of flexibility

• Strong team player

• Able to work within tight deadlines, multi-task and deliver on commitments

• Should have strong consulting mindset to engage with Global senior stakeholders

Preferred Skills/Qualifications:

• Model Development experience in banking and capital markets domain

• Experience in visualization tools such as Tableau, Power BI, Qlikview etc.

• Hands-on experience in SAS

• Proficiency in advanced Excel macros/VBA

Candidate should be willing to travel to (Europe and occasionally outside Europe). Expected number weeks abroad may vary but will be between 12-18 weeks a year



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