Data Science - Supply Chain/Forecasting/Financial Analytics Analytics- Manager
Bengaluru (SDC) - Eagle Ridge at Embassy Golf Links Business Park
SoundCloud
Discover and play over 320 million music tracks. Join the world’s largest online community of artists, bands, DJs, and audio creators.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & 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’ll 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 8+ years of hands on experience
Must Have:
In-depth knowledge of supply chain processes, logistics, inventory management, out of stock analysis, and demand forecasting within various industries
Strong understanding of financial concepts and analytics to provide insights into budgeting, cost optimization, and financial forecasting
Experience in developing accurate demand forecasting models to optimize inventory levels, reduce stockouts, and improve overall supply chain efficiency
Hands-on experience in the machine learning domains such as Regression, Classification, Unsupervised ML, Ensembles & Deep Learning
Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases
Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib)
Advanced level programming in SQL and Python/Pyspark to guide teams
Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.
Nice to have:
Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker)
Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
Experience with model explainability and interpretability techniques
Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product
Ability to think through complex user scenarios and design simple yet effective user interactions
Good Communication and presentation skills
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Business Intelligence Classification Data analysis Data Analytics Data management Deep Learning GCP Kubernetes Machine Learning ML models Power BI PySpark Python PyTorch QuickSight SageMaker Scikit-learn SQL Statistics Tableau TensorFlow Vertex AI
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs