Associate Principal - Data Sciences

Role description

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams

Responsibilities for Data Scientist

Work with stakeholders to identify opportunities for leveraging data to drive business solutions

Mine and analyse data from databases to drive optimization and improvement of product development and business strategies

Assess the effectiveness and accuracy of new data sources and data gathering techniques

Develop custom models and algorithms to apply to data sets

Use predictive modelling to increase and optimize customer experiences

Coordinate with different functional teams to implement models and monitor outcomes

Analyse large amounts of information to discover trends and patterns

Build predictive models and machinelearning algorithms

Present information using data visualization techniques

Good to have a knowledge of ML lifecycle and model governance

Develop and Deploy advanced Generative AI large language models Azure OpenAI Machine Learning and Deep Learning Modelsalgorithms to enhance andor automate existing business processes with predictive and intelligent decision making content aggregation and contextualized insights

Have experience in developing productionlevel Gen AI solutions by utilizing Azure OpenAI services

Familiar with prompt engineering retrievalaugmented generation Llama index Vector DB and finetuning of opensource LLMs

Qualifications for Data Scientist

Looking for someone with 68 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following softwaretools

Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets

Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc

Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications

Knowledge and experience in statistical and data mining techniques GLMRegression Random Forest Boosting Trees text mining social network analysis etc

Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc

Experience visualizingpresenting data for stakeholders

Experience with Snowflake will be an added advantage

Experience in deployment of machine learning models using cloud technologies

Skills

Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS

About LTIMindtree
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree — a Larsen & Toubro Group company — solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/. Please also note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/