Company Name:-
Larsen & Toubro Infotech Limited

Job Location:-
Bengaluru, Karnataka

Job Summary:-
“Experience Level – 2 to 4 years Responsibilities – As a part of the analytics team, you’ll be responsible for designing and developing production ready codes to implement features on Leni, an AI based virtual analyst.

Your job will require the following – Gather requirements, understand data structures, develop and deploy algorithms Build models and algorithms to implement predictive modeling and statistical techniques Partner with NLP, engineering and business teams to implement Leni for clients Contribute in building and deploying new use cases on Leni A successful candidate will potentially have 2-4 years of experience in developing data led models and algorithms in BFSI, Healthcare, CPG retail, Manufacturing or e-commerce domain A bachelor’s degree in STEM discipline from Tier 1 colleges Hands-on experience in predictive modeling techniques like regression, classification, clustering, forecasting etc.

Proficiency in R/Python/SQL for data processing, statistical techniques and machine learning Familiarities with data science and ML libraries like pandas, numpy, scikit-learn, etc.

Familiarity with Spark/Pyspark A good understanding of SQL and no-SQL databases Familiarity in developing ETL logics and codes Strong analytical thinking and hands-on experience in problem solving Strong verbal and written communication skills It will also be good to have – A master’s degree (or equivalent) in business management, analytics or business intelligence A knowledge of technology infrastructure, specifically, big data technologies- Elastic Search/ Spark / H20 etc.

Familiarity with platforms like google cloud, AWS, Azure etc.

Hands-on experience on BI solutions like Tableau, Power BI, Qlik, ThoughtSpot, Answer Rocket, Looker etc.

Expertise in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms and Reinforcement Learning Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modeling ”

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