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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 Consultant - Data Scientist 

In this role, the mission of the research team is to make Morgan Stanley’s research and its team of analysts available to institutional clients through a research portal website and chat tools including AI-driven chat. To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question -answering system and an ontology/ taxonomy all supported by reference data about companies, industries, and our analysts. Global Research is building a team of SMEs and LLM/NLP experts to support this. The Data Scientist will be a member of this team.We are looking for a candidate with experience as a data scientist for machine learning and natural language processing problems. As a data scientist you will develop and implement advanced ML and NLP algorithms to analyse large data sets, extract insights and develop new products and solutions for our analysts, investor clients and management. You are expected to have a blend of technical expertise, a deep understanding of the theoretical underpinning of ML and NLP and their practical applications, an interest and aptitude for real life business use cases and creativity and ingenuity. You will have proficiency in data mining, data structuring, model development, validation and testing. You will work with multiple teams including domain experts, SMEs, product owners, management, developers, and data analysts to understand the business needs and to help find ways to translate our complex datasets into actionable data-driven strategies, actions, and products. You will have a proven track record for applying ML and NLP techniques to actual, real-world problems for measurable and real-life impact. 

Responsibilities 

  • Develop and implement ML and NLP models to analyze and interpret complex datasets. 
  • Data mining and pre-processing to prep datasets. 
  • Evaluate model performance and iterate to improve efficiency and accuracy. 
  • Communicate findings and insights to technical and non-technical business stakeholders. 
  • Participate in the entire life cycle of ML/NLP projects from inception to deployment including and up to necessary support and post deployment validations full implement best practices in data science and machine learning. 
  • Collaborate with cross functional teams to identify and solve relevant business problems. 
  • Present findings to senior audiences. 

Qualifications 

Minimum qualifications 

  • B.E./ B.Tech/ MCA/ MBA or equivalent 

Preferred Qualifications 

  • Experience in data science rule with ML and NLP exposure 
  • Strong programming skills in Python common proficiency with ML/NLP libraries 
  • Experience in data mining preprocessing, model development 
  • Solid knowledge of a diverse set of machine learning techniques and their real-world practical applicability 
  • Strong statistical and analytical skills 
  • Experience with cloud computing services 
  • Ability to effectively communicate complex data insights to non-technical stakeholders is critical. 

The approximate annual base compensation range for this position is [$50,000 to $62,500]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity 

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. 

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. 

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Confirmed 6 hours ago. Posted 13 days ago.

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