With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands—and we have fun doing it. Now, we're calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us. Transformation happens here! Come, be a part of our exciting journey! Are you the one we are looking for? Inviting applications for the role of Consultant - ML Engineer
Responsibilities %26amp; Proficiencies
Think strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process
Advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis
The scope of work includes Forecast, Prediction Models, Outlier Reporting, Payment Integrity violation identification, Adhoc analysis
Implementation of Supervised and Unsupervised model development techniques
Develops ML / NLP models using identified features and packages
Responsible for maintenance and performance monitoring of the production environment for the Advanced Analytics team
Own the design of complex and large-scale datasets to be used for statistical modeling and data mining.
Slice and dice through the database and come up with measurable analytical insights
Solid interpersonal skills with exposure to direct client communication is preferred
Proficiencies
Python, SciPy, NumPy, SQL, NLP
Experience with relational database management systems.
Works with key partners to generate and test hypotheses
You should be able to handle automated deployments using tools like containers (Docker) or serverless APIs (ex. Lambda functions, etc).
Facility with one or more data analytical methods such as regression, decision trees, experimental designs, support vector machines, machine learning and text mining
Work in a dynamic and fast-paced environment without compromising the quality
Conduct explanatory data analysis and prepare data sources to be analyzed.
Qualifications we seek in you! Minimum Qualifications
Bachelors or master's degree with specialization in statistics, computer science or Information systems/science. Familiarity with Finance domain
Bachelor%27s Degree required. Preferably in Computer Science, Information Systems, or related field.
Preferred qualifications
Strong leader with a desire to educate and develop good energetic talent within the team
Solid process skills with an understanding of change control processes and managing critical production environments
Strong interpersonal, analytical thinking, presentation and communication skills essential
Ability to work in a distributed team environment
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.