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5 Predictive Modeling Jobs

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Data Engineer / Manager / Executive

Adani Group

3.0 - 7.0 years

Chennai, All india

On-site

As a Data Engineer / Manager / Executive at Sportrid Limited, a leading company in the None industry, you will play a crucial role in analyzing and organizing raw data to identify patterns, trends, and insights. Your responsibilities will include: - Building and maintaining data systems and pipelines to ensure the efficient flow and storage of data - Evaluating business needs and objectives to develop data solutions that meet strategic goals - Conducting complex data analysis and generating detailed reports on findings - Preparing data for prescriptive and predictive modeling using advanced statistical techniques and algorithms - Combining data from various sources to create comprehensive da...

Posted 1 week ago

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Associate Director- Commercial S&T

Pepsico

12.0 - 15.0 years

Gurugram

Work from Office

Overview The Commercial Strategy Lead IT plays a critical role in driving the digital and commercial transformation agenda across PepsiCo India. Reporting to the CSTDO, this role focuses on integrating IT and digital capabilities with commercial strategy to enhance business performance, enable new go-to-market models, and build scalable systems that support revenue growth and operational efficiency while working on white spaces and transformational projects that will fuel our aggressive business growth ambition. The role ensures that PepsiCos digital platforms are effectively leveraged to drive commercial excellence, channel development, and cost efficiency, in alignment with PepsiCos global...

Posted 2 weeks ago

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Data Scientist - Patient Finding

Amgen Inc

3.0 - 5.0 years

Hyderabad

Work from Office

What you will do Support analytics and predictive modeling projects across Data Science & Measurement and Investment Analytics teams. Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy. Maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments. Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries. Drive documentation, version control, and deployment practices using standardized platforms and tools. Stay curious continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, ...

Posted 2 weeks ago

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Data Analyst (Consultant)

Capgemini Engineering

3.0 - 7.0 years

Pune, All india

On-site

As a Consultant at Capgemini Invent, your role will involve engaging in project activities related to the Information lifecycle. You will work on tasks such as building and managing Business data lakes, ingesting data streams, developing machine learning models, visualizing data, and empowering Information consumers with agile Data Models. Additionally, you will specialize in Business Models and architectures across various Industry verticals. Key Responsibilities: - Engage in project activities related to the Information lifecycle - Build and manage Business data lakes and ingest data streams - Develop machine learning and predictive models for data analysis - Visualize data and empower Inf...

Posted 3 weeks ago

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Senior Quantitative Model Solutions Specialist

Wells Fargo

4.0 - 9.0 years

7 - 17 Lacs

Hyderabad

Work from Office

About this role: Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist for the Unsecured / Small Business Retail team. In this role, you will: Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives Advise and guide team on moderately complex model optimization and processes strategies Independently resolve moderately complex issues and lead team to meet project deliverables while lever...

Posted 3 weeks ago

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Exploring Predictive Modeling Jobs in India

Predictive modeling is a rapidly growing field in India, with a high demand for professionals who can analyze data and create models to forecast future trends. Job seekers in this field have a wide range of opportunities in various industries such as finance, healthcare, e-commerce, and more. If you are considering a career in predictive modeling in India, this guide will provide you with valuable insights into the job market, salary range, career progression, related skills, and interview preparation tips.

Top Hiring Locations in India

Bangalore
Mumbai
Delhi
Hyderabad
Pune

Average Salary Range

The salary range for predictive modeling professionals in India varies based on experience and location. Entry-level positions typically start at around INR 6-8 lakhs per annum, while experienced professionals can earn upwards of INR 15-20 lakhs per annum.

Career Path

In the field of predictive modeling, a typical career progression may include roles such as Data Analyst, Data Scientist, Senior Data Scientist, and Principal Data Scientist. As professionals gain more experience and expertise, they may move into leadership roles such as Data Science Manager or Chief Data Officer.

Related Skills

In addition to predictive modeling, professionals in this field are often expected to have knowledge and skills in the following areas: - Data analysis - Machine learning - Statistical modeling - Programming languages like Python, R, or SQL - Data visualization

Interview Questions

What is the difference between supervised and unsupervised learning? (basic)
Explain the bias-variance tradeoff. (medium)
What is cross-validation and why is it important in predictive modeling? (medium)
How do you handle missing data in a dataset? (basic)
What is overfitting and how can it be prevented? (medium)
Explain the concept of feature engineering. (medium)
What is the ROC curve and how is it used in predictive modeling? (medium)
What is the purpose of regularization in machine learning algorithms? (medium)
How would you evaluate the performance of a predictive model? (basic)
What is the difference between classification and regression in machine learning? (basic)
Explain the K-nearest neighbors (KNN) algorithm. (medium)
What is the curse of dimensionality and how does it affect predictive modeling? (advanced)
Describe the difference between batch gradient descent and stochastic gradient descent. (medium)
How does the decision tree algorithm work? (medium)
Explain the concept of ensemble learning and give examples. (medium)
What are the assumptions of linear regression? (basic)
How can you handle imbalanced datasets in predictive modeling? (medium)
What is the difference between L1 and L2 regularization? (medium)
How do you interpret the coefficients in a logistic regression model? (medium)
What is the purpose of AUC-ROC analysis in predictive modeling? (medium)
Explain the concept of feature selection and its importance in predictive modeling. (medium)
What is the difference between bagging and boosting in ensemble learning? (medium)
Describe the difference between precision and recall in classification models. (medium)
How do you handle multicollinearity in regression analysis? (medium)
What is the difference between time series forecasting and traditional predictive modeling? (medium)

Conclusion

As you explore job opportunities in predictive modeling in India, it is essential to enhance your skills, stay updated with the latest trends in the field, and prepare diligently for interviews. By mastering the necessary skills and showcasing your expertise, you can secure exciting career opportunities and contribute to the growing demand for predictive modeling professionals in the Indian job market. Good luck with your job search!

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