Job Role - Fullstack Data ScientistLocation - GGN/HYD/BLR Job Summary: We are seeking an experienced and skilled Full Stack Data Scientist to join our team. In this role, you will be responsible for driving data-driven decision-making and delivering actionable insights through advanced data modelling, statistical analysis, and machine learning techniques. You will leverage your expertise in various domains, including classification, regression, graph transformers, and root cause analysis, to solve complex business problems and drive innovation. About Genpact: 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. Roles and Responsibilities: <ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. </li><li>Design and implement robust data models and pipelines for data ingestion, transformation, and storage. </li><li>Perform exploratory data analysis, feature engineering, and data visualization to uncover valuable insights and patterns. </li><li>Develop and deploy machine learning models for classification, regression, and other predictive tasks using techniques such as graph transformers and deep learning. </li><li>Conduct root cause analysis to identify underlying factors contributing to specific outcomes or anomalies. </li><li>Implement advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to draw reliable conclusions from data. </li><li>Communicate complex analytical findings and recommendations to stakeholders in a clear and actionable manner. </li><li>Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies, and drive their adoption within the organization. </li><li>Participate in code reviews, ensure adherence to coding standards, and promote best practices in data science and machine learning workflows. </li></ul> Skills and Qualifications: <ul><li>Minimum of 5 years of experience in data science roles, with a strong understanding of data modeling, statistical analysis, and machine learning techniques.</li><li>Proficiency in programming languages such as Python , R, or Scala, and experience with data science libraries and frameworks (e.g., TensorFlow, Keras, Scikit-learn, Pandas, NumPy).</li><li>Expertise in data manipulation, cleansing, and preprocessing techniques, as well as data visualization tools (e.g., Matplotlib, Seaborn, Tableau). </li><li>Knowledge of database systems (e.g., SQL, NoSQL) and experience with data warehousing and data lake architectures. </li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data services. </li><li>Strong understanding of classification, regression, and graph transformer techniques, as well as their applications in various domains. </li><li>Experience in root cause analysis and implementing statistical methods for causal inference and experimental design. </li><li>Excellent problem-solving, analytical, and critical thinking skills. </li><li>Strong communication and collaboration abilities, with the ability to work effectively in cross-functional teams. </li><li>Passion for staying up-to-date with the latest advancements in data science, machine learning, and related technologies.</li></ul>

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 ofPrincipal 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 [$60,000 to $75,000]. 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.

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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Data Scientist Genpact Jobs

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