Data Science
Year Bengaluru, Karnataka, India
Job Description
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Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
As part of our Analytics and Insights Consumption team, you\xe2\x80\x99ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You\'ll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 6+ years of hands on experience Must Have:
- In-depth understanding of the retail sector, including consumer behavior, supply chain dynamics, inventory management, demand planning and forecasting and industry trends
- Proficiency in analyzing large datasets related to retail operations, customer transactions, and market trends to extract actionable insights for clients
- Experience in developing demand forecasting models, optimizing inventory management strategies
- Proficiency in statistical methods and forecasting algorithms , using both time \xe2\x80\x93 series based and machine learning and deep learning based methods for analyzing data sets
- Strong understanding and hands-on experience with machine learning and deep learning algorithms and techniques such as supervised and unsupervised learning, classification, clustering, and anomaly detection
- Experience in Data analysis For e.g : data cleansing, standardization and data preparation for the machine learning use cases
- Proficient in working with relational databases (e.g., SQL) and NoSQL databases
- Experience with data warehousing and data lakes
- Experience in machine learning frameworks and tools ( For e.g . scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)
- Advanced level programming in SQL or Python/Pyspark
- Expertise with visualization tools For e.g : Tableau, PowerBI, AWS QuickSight etc.
- Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP\xe2\x80\x99s Vertex AI platform, AWS SageMaker)
- Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
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Job Detail
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Job IdJD3307813
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationBengaluru, Karnataka, India
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EducationNot mentioned
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ExperienceYear