6,781 Model Development jobs in India

**Description:**
+ This position within USPB Risk will develop CCAR/CECL models for unsecured portfolios (e.g., credit cards, installment loans etc.)
**The responsibility includes but not limited to the following activities:**
+ Obtain and conduct QA/QC on all data required for CCAR/CECL model development
+ Develop segment and/or account level CCAR/CECL stress loss models
+ Perform all required tests (e.g. sensitivity and back-testing)
+ Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
+ Deliver comprehensive model documentation
+ Work closely with cross functional teams, including country/region's business stakeholders, model validation and governance teams, and model implementation team
+ Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built
**Qualifications:**
+ Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
+ 5+ years' experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
+ Experience with dynamics of unsecured products is a strong plus
+ Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
+ Exposure to various stress loss modeling approaches at the segment or account level preferred
+ Able to communicate technical information verbally and in writing to both technical and non-technical audiences
+ Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
+ Work as an individual contributor
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**Job Family Group:**
Risk Management
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**Job Family:**
Risk Analytics, Modeling, and Validation
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**Time Type:**
Full time
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**Most Relevant Skills**
Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Our client, a cutting-edge scientific research institution based in Patna, Bihar, IN , is seeking an accomplished Senior Data Scientist with a specialization in predictive modeling. This role is central to developing advanced analytical solutions that drive scientific discovery and inform strategic decision-making. You will lead projects focused on building, validating, and deploying sophisticated predictive models to uncover insights from complex datasets across various research domains. Responsibilities include defining project objectives, selecting appropriate statistical and machine learning techniques, and performing rigorous data analysis. You will be involved in the entire model lifecycle, from data exploration and feature engineering to model training, evaluation, and deployment. The ideal candidate will possess a strong foundation in statistical modeling, machine learning algorithms, and programming proficiency in languages such as Python or R, along with experience in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Expertise in time-series analysis, regression techniques, classification models, and clustering algorithms is essential. You will collaborate closely with researchers and domain experts to understand their analytical needs and translate them into data-driven solutions. The ability to communicate complex findings effectively to both technical and non-technical audiences through clear visualizations and reports is paramount. This position offers a stimulating environment where you can apply your data science skills to impactful research challenges. You will contribute to enhancing the predictive capabilities of our client's research initiatives and play a key role in shaping future analytical approaches. Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is a significant advantage. The successful applicant will demonstrate strong problem-solving abilities, a meticulous approach to data quality, and a passion for advancing scientific knowledge through data.
Qualifications:

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in data science and predictive modeling.
• Proven expertise in developing and deploying various machine learning models (e.g., regression, classification, time series, clustering).
• Proficiency in Python or R, including common data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical principles and experimental design.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Experience working with large and complex datasets.
• Familiarity with SQL and database management.
• Experience in a scientific research environment is a plus.

Our client, a cutting-edge technology firm, is looking for enthusiastic and bright recent graduates or current students to join their team as Junior Data Scientists for a fully remote internship. This is an incredible opportunity to gain hands-on experience in predictive modeling, machine learning, and data analysis within a supportive and innovative environment. You will work on real-world projects, contributing to the development of advanced data-driven solutions.

Responsibilities:

• Assist senior data scientists in collecting, cleaning, and preparing large datasets for analysis.
• Develop and implement predictive models using various machine learning algorithms (e.g., regression, classification, clustering).
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Create data visualizations to effectively communicate findings to technical and non-technical stakeholders.
• Contribute to the development and testing of new algorithms and statistical models.
• Collaborate with cross-functional teams to understand data needs and project requirements.
• Document methodologies, findings, and code for reproducibility and knowledge sharing.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Learn and apply new data science techniques and tools as needed.
• Assist in the deployment and monitoring of machine learning models in production environments.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Foundational knowledge of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
• Experience with SQL for database querying.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.
• Eagerness to learn and adapt to new technologies.
• Ability to work independently and collaboratively in a remote team setting.
• Previous internship or project experience in data analysis or machine learning is a plus.

This is a fully remote internship, offering the flexibility to work from your preferred location. We are looking for driven individuals eager to kickstart their careers in data science and make a tangible impact. This is a graduate opportunity focused on learning and contribution.

Our client is looking for enthusiastic and motivated Junior Data Science Apprentices to join their innovative team. This apprenticeship program is designed for individuals passionate about data, statistics, and machine learning, providing a unique opportunity to gain hands-on experience in a professional data science environment. You will work alongside experienced data scientists, contributing to real-world projects focused on developing predictive models, performing data analysis, and deriving actionable insights from complex datasets. This is an excellent entry-level position for aspiring data scientists aiming to build a strong foundation in the field. You will be exposed to various data science tools and techniques, including data cleaning, feature engineering, model training, and evaluation.

Responsibilities:

• Assist senior data scientists in collecting, cleaning, and pre-processing large datasets.
• Support the development and implementation of machine learning models for predictive analysis.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Help in evaluating model performance and iterating on model improvements.
• Contribute to the creation of data visualizations and reports to communicate findings.
• Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
• Participate in team meetings and contribute to project discussions.
• Document methodologies, processes, and results clearly and accurately.
• Understand business requirements and translate them into data science tasks.
• Engage in continuous learning to stay updated with the latest advancements in data science and AI.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundational knowledge of statistics, probability, and basic machine learning concepts.
• Familiarity with programming languages such as Python or R is highly desirable.
• Basic understanding of data manipulation and analysis.
• Eagerness to learn and a strong intellectual curiosity.
• Good problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Excellent communication skills, both written and verbal.
• Prior exposure to data science projects through academic coursework or personal projects is a plus.

This apprenticeship offers a fantastic pathway into the exciting world of data science, providing valuable real-world experience. The role is based in **Dehradun, Uttarakhand, IN**, but we are offering a fully remote working arrangement for this apprenticeship, enabling you to learn and contribute from the comfort of your home. Join our client and kick-start your career in data science!

Our client is seeking a highly skilled and motivated Senior Data Scientist to join their expanding team, focusing on predictive modeling and machine learning. This is a fully remote position, offering flexibility to talented individuals across the globe, but the core team collaboration will be focused on leveraging insights for projects based out of Surat, Gujarat, IN . You will play a critical role in designing, developing, and deploying advanced predictive models that drive business decisions and enhance customer experiences. This role requires a deep understanding of statistical modeling, machine learning algorithms, and data manipulation techniques, coupled with the ability to translate complex data into actionable business insights.

Key Responsibilities:

• Develop and implement sophisticated predictive models using machine learning and statistical techniques to forecast trends, identify customer behavior patterns, and optimize business processes.
• Design and conduct A/B tests and other experiments to validate model performance and impact on key business metrics.
• Collaborate closely with product managers, engineers, and business stakeholders to define project requirements, understand business needs, and communicate findings effectively.
• Clean, transform, and engineer features from large, complex datasets to prepare them for modeling.
• Build robust data pipelines and automated processes for model deployment, monitoring, and retraining.
• Evaluate and select appropriate modeling techniques, considering factors such as data availability, performance requirements, and interpretability.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and proactively identify opportunities to apply new methodologies.
• Create compelling data visualizations and reports to communicate complex analytical results to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the team's knowledge sharing and best practices in data science.
• Ensure data privacy and security compliance in all modeling and data handling activities.

Qualifications:

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
• Minimum of 5 years of professional experience in data science, with a strong focus on building and deploying predictive models in a production environment.
• Proficiency in programming languages commonly used in data science, such as Python or R, and extensive experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong understanding of various machine learning algorithms, including regression, classification, clustering, time series analysis, and deep learning.
• Experience with SQL and working with large-scale databases (e.g., PostgreSQL, MySQL, BigQuery, Snowflake).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent analytical, problem-solving, and critical thinking skills, with a keen attention to detail.
• Strong communication and presentation skills, with the ability to articulate technical concepts clearly and concisely.
• Demonstrated ability to work independently and manage multiple projects simultaneously in a remote setting.

This is an excellent opportunity for a seasoned data professional to contribute significantly to our client's data-driven initiatives, working remotely from Surat, Gujarat, IN .

Our client is seeking a highly skilled and innovative Senior AI/ML Engineer to join their advanced research and development team in Ahmedabad, Gujarat, IN . This role offers a unique opportunity to work on cutting-edge AI and machine learning projects, focusing on predictive modeling and deep learning solutions. You will be responsible for designing, developing, and deploying sophisticated machine learning models to solve complex business problems. This includes data preprocessing, feature engineering, model selection, training, evaluation, and deployment into production environments. The ideal candidate will have a strong background in computer science, statistics, and machine learning, with extensive experience in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). You should be adept at working with large datasets, understanding various ML algorithms, and translating business requirements into technical solutions. This is a hybrid role, providing flexibility while encouraging in-person collaboration within the Ahmedabad hub. A passion for innovation, strong analytical skills, and the ability to work effectively in a collaborative team environment are crucial.

Responsibilities:

• Design, develop, and implement advanced AI and machine learning models for predictive analytics.
• Perform data mining, feature engineering, and data preprocessing on large datasets.
• Train, evaluate, and optimize machine learning models using various algorithms.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and solutions.
• Stay abreast of the latest research and advancements in AI, ML, and deep learning.
• Develop and maintain technical documentation for AI/ML projects.
• Conduct research and experiments to explore new AI/ML techniques and applications.
• Contribute to the development of AI/ML infrastructure and best practices.
• Mentor junior engineers and share knowledge within the team.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of experience in AI/ML engineering, with a focus on predictive modeling.
• Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
• Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.
• Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.

Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in predictive modeling to join their advanced research and development team, operating remotely. This role is central to designing, developing, and deploying sophisticated machine learning models that drive key business decisions and enhance product capabilities. You will work with large-scale datasets, applying cutting-edge algorithms and techniques to solve complex problems in areas such as customer behavior analysis, fraud detection, and personalized recommendations. The ideal candidate will have a strong foundation in statistical modeling, deep learning, and a proven ability to translate business needs into effective AI solutions. A passion for research and a commitment to staying at the forefront of AI advancements are essential.

Key responsibilities include data preprocessing, feature engineering, model training, evaluation, and deployment. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML models into production systems. This involves developing robust pipelines for model monitoring, retraining, and performance optimization. The Senior AI/ML Engineer will also be responsible for researching and experimenting with new AI algorithms and technologies to identify opportunities for innovation. Contributions to technical documentation, knowledge sharing within the team, and staying updated on the latest research papers and industry trends are integral to this position. Excellent programming skills in languages like Python, proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), and experience with cloud ML platforms are required. Strong analytical, problem-solving, and communication skills are vital for success in this dynamic and challenging role.

Key Responsibilities:

• Design, develop, and implement advanced AI/ML models for predictive analysis.
• Utilize large datasets to train, validate, and deploy machine learning models.
• Conduct feature engineering, model selection, and hyperparameter tuning.
• Develop robust ML pipelines for model deployment, monitoring, and retraining.
• Collaborate with data scientists and engineers to integrate models into production systems.
• Research and experiment with new AI algorithms and techniques.
• Evaluate model performance using appropriate metrics and identify areas for improvement.
• Stay current with advancements in AI/ML research and industry best practices.
• Document models, methodologies, and findings clearly.
• Contribute to the technical vision and strategy for AI/ML initiatives.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

Qualifications:

• Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in AI/ML engineering, with a focus on predictive modeling.
• Strong theoretical and practical understanding of machine learning algorithms, statistical modeling, and deep learning.
• Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Scikit-learn.
• Experience with big data technologies and distributed computing frameworks (e.g., Spark).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience deploying ML models into production environments.

Our client is seeking a highly skilled Senior Research Scientist specializing in Data Analysis to join their innovative research and development team in Mumbai, Maharashtra . This pivotal role involves leveraging advanced statistical methods and machine learning techniques to extract meaningful insights from complex datasets, driving scientific discovery and informing strategic decisions. The ideal candidate will possess a strong quantitative background, extensive experience in statistical modeling, data mining, and visualization, along with a proven ability to translate data findings into actionable recommendations. You will be responsible for designing and implementing data analysis strategies, developing predictive models, and evaluating the performance of algorithms. Key responsibilities include collaborating with cross-functional teams of scientists and engineers, interpreting research outcomes, and preparing comprehensive reports and presentations for both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis tools are essential. We are looking for an individual with a keen eye for detail, a passion for uncovering patterns, and the ability to communicate complex analytical results clearly and concisely. This is an excellent opportunity to contribute to cutting-edge research and development in a dynamic and intellectually stimulating environment, working with a diverse range of scientific challenges. Your expertise in deriving insights from data will be crucial in shaping future research directions and product development.
Responsibilities:

• Design and implement sophisticated data analysis methodologies.
• Develop and validate statistical models and machine learning algorithms.
• Perform data mining, pattern recognition, and predictive analytics.
• Clean, process, and transform large datasets.
• Create compelling data visualizations to communicate findings.
• Collaborate with research teams to define analytical objectives.
• Interpret research results and provide data-driven recommendations.
• Prepare technical reports and presentations for stakeholders.
• Stay abreast of the latest advancements in data science and statistical techniques.
• Mentor junior data analysts and contribute to knowledge sharing.

Qualifications:

• Ph.D. or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and statistical modeling.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Experience with database querying (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical principles, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work independently and collaboratively in a team environment.

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing.
Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary
Research focus on problem solving through NLP(Natural Language Processing) is critical.
Clear application on performance testing and validation framework of machine learning models
Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data
Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount
**Minimum Qualifications**
* Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
* Ability to work in cross functional teams
* Excellent data wrangling and visualization skills
* Hands on knowledge of SQL is expected
* A research mindset with a zeal to experiment new algorithms is expected
**Preferred Qualifications:**
* Master's in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
* A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
* Prior experience working with Transformers/LSTMs/CNNs preferred
* Working knowledge of finetuning Large Language Models(LLMs) is a plus
* Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
* Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred any of Tensorflow/Torch.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**