Consultant- Data Scientist

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Consultant-Data Scientist

Responsibilities

• Work towards developing skills for the larger Analytics team in predictive analytics area through coaching and training.

• Work independently with clients, business development team and lead projects/relationship

• Lead pilot projects for various existing clients under guidance of lead data scientist and ensure timely meeting of milestones.

• Work with Project lead to develop advance analytical capabilities and assets

• Apply standard and cutting-edge techniques (statistical modelling, Bayesian, data mining, predictive analytics, machine learning, text mining, segmentation/ clustering and optimization) to identify drivers of a business metric in areas of Claims and Underwriting.

• Plan strategize modelling initiatives, drive productivity, build customer relationship and improve engagement.

Qualifications we seek in you

Minimum qualifications

• Master s Degree in a quantitative discipline such as Statistics, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics

• Proficient in R/ Python and other statistical tools like SAS, SPSS etc.

• Expert in statistical modelling, Bayesian modelling, data mining, GLM techniques, machine learning, text mining, segmentation/clustering, and optimization.

Preferred Qualifications

• Strong analytical skills with a solid understanding of statistics and predictive modeling.

• Experience in the following predictive modeling techniques GLM, Linear Regression, Survival Analysis, Time Series, Segmentation/Cluster Analysis, Decision Trees Random Forests

• Well versed with Python/ETL/SQL and Data science experience.

• Advanced proficiency with Microsoft Excel, including VBA, is required

• Basic database skills, including SQL and ability to pull together disparate data sources. SSRS / SSIS Experience

• Should have skills to analyze data and provide insights on trends, patterns, etc. which will be critical to the business

• Ability to establish priorities and handle multiple assignments concurrently with minimal direction in an evolving, fast paced work environment

• Demonstrate ability to work independently and in a team environment

• Self-disciplined and results oriented

• Ability to communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into actionable steps for business units

• Data Quality, Metadata Management and Data Governance

• Hand on experience with one of the cloud technologies (AWS, Azure, GCP).

• Mature outlook and upholds high standards of professional integrity

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. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook .

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training .