9+ Predictive analytics Jobs in India

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

We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.

• Medium to Expert level proficiency in either R or Python.
• Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
• Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
• Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
• Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
• Medium-to-Proficient in creating beautiful Tableau dashboards.
• Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
• Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
• Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.

• Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
• Experience of working in the Gaming domain
• Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
• Experience in building and maintaining Data Warehouses in AWS would be a big plus!

• PF and gratuity
• Working 5 days a week
• Paid leaves (CL, SL, EL, ML) and holidays
• Parties, festivals, birthday celebrations, etc
• Equability: absence of favouritism in hiring & promotion

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