8+ Predictive analytics Jobs in India
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Predictive analytics Jobs in Bangalore (Bengaluru)Predictive analytics Jobs in Mumbai
Bengaluru (Bangalore)
1 - 3 yrs
₹5L - ₹12L / yr
CC++Predictive analytics
Embedded Systems
Microcontrollers
+4 more
What You'll Do
● Develop embedded system architecture that is efficient and scalable
● Develop multi-device system design, envision customer interaction, and corner cases to build issue-free design
● Develop firmware code for Interrupt driven system which interacts with Android and cloud
● Implement function safety, protection and security in the embedded system
● Implement predictive hardware failure features
Who You Are?
● Passionate individual who loves to work on embedded systems. a person who likes to drive things actively rather than waiting for tasks to get assigned.
● Strong programming capabilities
● Understanding of electronics and hardware
● Clear thought process, believe in simplifying rather than complicating
● Argue and fight over the opinions. Believe in delivering the best for the users
You Should Have
● 3+ year experience in embedded system design
● Mastery in C/C++ for embedded systems. Strong fundamentals of Microcontrollers and their common peripherals.
● Strong basics of C/C++, memory map, compiler functionality
● Done multiple projects during graduation/post-graduation. Participated and performed in tech competitions.
● Experience working with actuators like motors (DC/brushless), LED/LCD and HMI interfaces, speakers, sensors etc
● Experience working with motor control algorithms and PID controllers
- Proficiency with Linux OS and basic bash scripting
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Remote only
5 - 10 yrs
₹15L - ₹30L / yr
Data Science
Machine Learning (ML)Linear regression
Natural Language Processing (NLP)
Deep Learning +5 more
Work Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
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Bengaluru (Bangalore)
9 - 12 yrs
₹45L - ₹55L / yr
Risk Management
Risk analysis
Statistical Modeling
Predictive analytics
Credit Risk
+2 more
The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.
Key Expectations
- Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
- Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
- Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
- Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
- Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
- Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
- Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
- Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
- Partner with Engineering team to implement policies and scorecards.
- Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.
Competencies -
- Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
- Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
- Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
- Outstanding communication skills, both verbal and written
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Bengaluru (Bangalore)
4 - 8 yrs
₹20L - ₹35L / yr
Data SciencePricing Strategy
PythonPredictive analytics
Pricing models
+1 more
Looking for Data Scientist with strong expertise in Classical Machine Learning algorithms and strong expertise in SQL and Python.
Experience in Pricing models will be definite plus
Experience in Pricing models will be definite plus
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Remote only
3 - 8 yrs
$24K - $60K / yr
ETL
PySpark
Data engineering
Data engineer
athena
+9 more
We are a nascent quant hedge fund; we need to stage financial data and make it easy to run and re-run various preprocessing and ML jobs on the data.
- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena
To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.
Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena
To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.
Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
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Remote, Bengaluru (Bangalore)
2 - 4 yrs
₹18L - ₹20L / yr
Data Science
R ProgrammingPython
MongoDBSQL
+3 more
Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.
Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.
With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.
As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.
What you will do:
- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
- Collaborating with data engineers & architects to implement and deploy scalable solutions
- Communicating results to diverse audiences with effective writing and visualizations
- Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
What you need to have:
- 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
- Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
- Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
- Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
- Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
- Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
- DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
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Mumbai
1 - 5 yrs
₹3L - ₹15L / yr
Data ScienceDecision Science
Data modeling
Statistical Modeling
Python +3 more
About us:
Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference.
For more details visit: www.quantiphi.com ; www.athenasowl.tv
Job Description:
-Developing high-level solution architecture related to different use-cases in the media industry
-Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights.
-Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact.
-Building deep relationship with clients by understanding their stated but more importantly, latent needs.
-Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence.
Essential Skills and Qualifications:
-Hands-on experience with statistical tools and techniques in Python
-Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
-Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc.
-Ability to think creatively and work well both as part of a team and as an individual contributor
-Critical eye for the quality of data and strong desire to get it right
-Strong communication skills.
-Should be able to read a paper and quickly implement ideas from scratch.
-A pleasantly forceful personality and charismatic communication style.
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Bengaluru (Bangalore)
1 - 3 yrs
₹6L - ₹8L / yr
Data AnalyticsPredictive analytics
Business Analysis
Data SciencePythonWyngCommerce is building a Global Enterprise AI Platform for top tier brands and retailers to drive profitability for our clients. Our vision is to develop a self-learning retail backend that enables our clients to become more agile and responsive to demand and supply volatilities.
We are looking for a Business Analyst to join our team. As a BA, you will take end-to-end ownership of on-boarding new clients, running proof-of-concepts and pilots with them on different AI product applications, and ensuring timely product roll-out and customer success for the clients. You will also be expected to drive significant inputs to the sales, engineering, data science and product team to help us build for scale.
An eye for detail, ability to process and analyze data quickly, and communicating effectively with different teams (Client, Sales and Engineering) are the qualities we are looking for. There will be opportunities to grow up within the same job family (lead a team of analysts) or to move to other areas of business like customer success, data science or product management.
KEY RESPONSIBILITIES:
- Understand the client deliverables from the sales team and come back to them with the timelines of solution / product delivery
- Coordinate with relevant stakeholders within the client team to configure the WyngCommerce platform to their business, set-up processes for regular data sharing
- Drive relevant anomaly detection analyses and work on data pre-processing to prepare the data for the WyngCommerce Analytics engine
- Drive rigorous testing of results from the WyngCommerce engine and apply manual overrides, wherever required before pushing the results to the client
- Evaluate business outcomes of different engagements with the client and prepare the analysis for the business benefits to the clients
KEY REQUIREMENTS:
- 0-2 years of experience in analytics role (preferably client facing which required you to interface with multiple stakeholders)
- Hands-on experience in data analysis (descriptive), visualization and data pre-processing
- Hands-on experience in python, especially in data processing and visualization libraries like pandas, numpy, matplotlib, seaborn
- Good understanding of statistical and predictive modeling concepts (you not need be completely hands-on)
- Excellent analytical thinking, and problem solving skills
- Experience in project management and handling client communications
- Excellent communication (written/verbal) skills, including logically structuring and delivering presentations
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