Customer Segmentation & Profiling, Customer Lifetime Value, Cross & Up-Selling and more...
Demand Forecasting & Management, Transport & Logistics Optimization, Quality Analytics and more...
Customer Segmentation & Profiling, Customer Driven Marketing, Marketing Mix and ROI and more...
Market Risk Analytics, Credit Risk Analytics, Insurance & Banking Fraud Analytics and more...
Customer-Driven Marketing, Shelf Storage & Merchandise Planning, Dynamic Pricing & Optimization and more...
Sentiment Analytics, Text & Contexual Analytics and more...
A/B & Multivariate Testing, Conversion Rate Optimization, Website Audit and more...
Static & Interactive Visualizations, Dashboards & BI Applications, UX/UI Design and more...
Machine Learning, Natural Language Processing Image Processing and more...
Real-Time Processing & Streaming Analytics Batch Analytics and more...
Quote-to-cash, Procure-to-pay, Customer onboarding and more...
Position: NiFi /Big Data Developer
Must Have Technical Skills: NiFi
Good to have Technical Skills: Python, ETL
Preferred Industry Experience: Telecom
· Extensive experience on Nifi to setup data pipeline.
· Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi
· Extensive experience in Python
· Food understanding on Spark, Spark Streaming & PySpark.
· Good understanding of Big Data components
Nos of Resources required: 2 to 3
Work location: Remote
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months
Our Client, A leading Finance company is looking to augment in their team with appropriate candidates with following skills.
Location: Delhi NCR region. (Onsite)
Contract period: Min 6 months
We are available over chat to address any queries.
We need a proficient PySpark resource with good experience.
Position: Azure Snowflake
Azure :-Hands on experience in ADF – Azure Data Factory
Nos of Resources required: 1 to 2
Work location: As of now Remote (Bangalore)
Experience: 5 yrs – 6 yrs
Mobilization Period in weeks: 2 weeks
Duration: 6 to 12 months
Looking for visual representation of our analytics of past 3 years to understand the customer behaviour. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report.
·Conduct analysis to address critical business challenges faced by client teams working in different markets across the banking value chain to recommend the best data and insights powered solutions
· Gathering business requirements to create high level business solution framework covering aspects of banking customer journey, policy & regulatory requirements, data driven business process design & Technology Architecture
·Interface with client teams along with inputs from internal research and data insights teams to develop solutions for identified opportunities across banking LOBs
·Build analytical use cases in AI and Machine Learning across different banking functions including Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
· Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL, Oracle, S3 buckets and likes of the same
· You should have worked for 4-6+ years in the area of Knowledge Strategy and Consulting, Analytics and AI Delivery and Business Operations in any of the Tier-1 consulting organizations (McKinsey, BCG etc.) with focus and experience in Banking industry
·Experience in at least some banking function like Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
·Experience in at least some areas of banking domain like Cards/Payments/Retail or Commercial Banking/Digital/Mortgages or Regulatory/Data Privacy/Asset Management/CDD/KYC/AML or Contact Center/Branch Banking along with knowledge of various banking products is required
·Have experience in building analytics models in atleast 1 or more banking function for cross-sell up-sell models, churn models, forecasting models, fraud detection models, AML models, default prediction models, risk pricing models etc.
·Hands on experience in building and deployment of Statistical Models/Machine Learning using following techniques – Statistical Algorithms (at least some of them)
a. Segmentation and Predictive Modeling (K means, Clustering, Multivariate Regression, Logistic Regression)
b. ML algorithms –RF, GBM / XgBoost, SVM
c. NLP algos – TFIDF, Word2vec, LDA
d. Exploratory Analytics (T-tests)
e. Decision Trees
·Experience with some databases preferred like Oracle, TD, Sybase, MS SQL, Win SQL, S3 buckets
·Experience and exposure to developing cloud solutions on AWS/GCP/Azure
·Good experience with Data, Analytics and AI technologies & tools – data native mindset with a deep understanding of Statistics and experience in A/B or multivariate experiment set-up, sharing testing results & recommendations
·Ability of Visual story-telling with BI & Visualization Tools (Tableau/Spotfire/Power BI, Cognos, Business Objects) is preferred
·Advanced Excel including VBA and PowerPoint skills
·Consulting skills Experience preferred
·Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people
·You are laser focused on delivering outcomes with speed and agility
·You are self-driven and thrive in ambiguity
·MA/MBA/MSc/MPhil. in Statistics / Economics/ Mathematics / Engg. Degree from Top Colleges in India or Abroad