228 AI Ml And Python Development Intern jobs in Gurugram

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.

Responsibilities

• Conduct data cleaning, wrangling, and pre-processing for financial datasets.
• Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
• Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
• Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
• Use either one – Python, Excel or R to analyse, visualize, and model financial data.
• Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.

Who Should Apply?

• Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
• Strong problem-solving and analytical skills.
• Able to self-learn and work independently in a remote, flexible environment.

Internship Details

• Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
• Timing: Self-paced.
• Type: Unpaid

Job Description

Work Location Options:

At American Express, our culture is built on a 175-year history of innovation, shared 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?

The Analytics, Investment Optimization and Marketing Enablement (AIM) team a part of Global Commercial Services Marketing group within American Express is the analytical engine that enables the Global Commercial Card & Non-Card business. This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Card Product Analytics.

The team specifically focus on portfolio, campaign measurements and commercial product analytics and partner closely with GCS product teams. The incumbent would be responsible for customer behavior, product enhancements, portfolio analytics, measuring the impact of various marketing treatments, reporting results to leadership and providing strategic analytical support. The role requires a strong background in data analytics, commercial card product knowledge. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Services business at American Express.

Responsibilities:

Minimum Qualifications

Preferred Qualifications

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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.

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Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 4 to 6 years

Requirements

Major Duties & Responsibilities

•  Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions 

•  Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

and operationalization of projects 

•  Influence machine learning strategy for Digital programs and projects

•  Make solution recommendations that appropriately balance speed to market and analytical soundness

•  Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor 

•  Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

TensorFlow)

•  Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Create algorithms to extract information from large, multiparametric data sets.

•  Deploy algorithms to production to identify actionable insights from large databases.

•  Compare results from various methodologies and recommend optimal techniques. 

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Develop and embed automated processes for predictive model validation, deployment, and implementation 

•  Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science

•  Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

reusability, and reliability upon deployment 

•  Lead discussions at peer review and use interpersonal skills to positively influence decision making

•  Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

impactful contributions to internal discussions on emerging practices

•  Facilitate cross-geography sharing of new ideas, learnings, and best-practices

 Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.

•  4-6 years of work experience as a Data Scientist

•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

quickly cycle hypothesis through the discovery phase of a project

•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,

Hadoop/Hive, Scala)

•  Good hands-on skills in both feature engineering and hyperparameter optimization

•  Experience producing high-quality code, tests, documentation

•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

Synapse, Databricks

•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

•  Proficiency in statistical concepts and ML algorithms

•  Good knowledge of Agile principles and process 

•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

results

•  Self-motivated and a proactive problem solver who can work independently and in teams

Benefits

Work with one of the Big 4's in India

At American Express, our culture is built on a 175-year history of innovation, shared 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?

The incumbent would be part of the Commercial Data Science & Model Integration team reporting into the Manager - Commercial Collections and Credit Data Science, key responsibilities include, but are not limited to:

Minimum Qualifications

Functional Skills/Capabilities

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:

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.

What we offer

What you will do

What you’ll bring

Good to have:

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Gurgaon, India.

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

• Interact with C-level at our clients on regular basis to drive their business towards impactful change

• Lead your team in creating new business solutions

• Seize opportunities at the client and at Metyis in our entrepreneurial environment

• Become part of a fast growing international and diverse team

• Lead and manage the delivery of complex data science projects, ensuring quality and timelines.

• Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.

• Design solution architectures and guide the technical approach across projects.

• Align technical deliverables with business goals, ensuring data products create measurable business value.

• Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.

• Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.

• Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.

• Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.

• 6+ years of experience in delivering full-lifecycle data science projects.

• Proven ability to lead cross-functional teams and manage client interactions independently.

• Strong business understanding with the ability to connect data science outputs to strategic business outcomes.

• Experience with stakeholder management, translating business questions into data science solutions.

• Track record of mentoring junior team members and creating a collaborative learning environment.

• Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.

• Experience managing project roadmaps, resourcing, and client communication.

  • Tools & Technologies :

  o Strong hands-on experience in Python/R and SQL.

  o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.

  o Experience with data visualization tools in python like – Seaborn, Plotly.

  o Good understanding of Git concepts.

  o Good experience with data manipulation tools in python like Pandas and Numpy.

  o Must have worked with scikit learn, NLTK, Spacy, transformers.

  o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.

  o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.

  • Core Competencies:

  o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.

  o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.

  o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.

  o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.

  o Hands on experience with MLOps and model governance best practices in production environments.

  o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.

Good to have:

• Generative AI Experience with text and Image data.

• Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.

• Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Location : Gurugram/Remote

Job ID : DS1002

Job Type : Full time

Experience : 2-4 years

TransOrg Analytics, an award winning – Big Data and Predictive analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East. Our products – Clonizo’ (customer cloning) have yielded significant incremental benefits to our clients. We have been recognized by the CIO Review magazine as the – Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship.

• Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software.
• This role requires: Data exploration, mathematical/statistical modelling, data analysis and hypothesis testing.
• Design, development and deployment of Predictive models and frameworks.
• Complex statistical concepts are explained in a way that clients can understand and advice on strategy.

• Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.
• Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
• Design and build dashboards and other visualizations in BI tools.
• Should be able to handle assigned tasks in the capacity of individual contributor.
• Demonstrate excellent teamwork.
• Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members.

• Bachelor’s in Computer Science/ Engineering, Statistics, Math or related quantitative degree or equivalent work experience.
• Experience with modelling techniques such as clustering, linear & logistic regression, random forest etc.
• Must have a passion for data, structured or unstructured.
• 3-6 years of hands-on experience with R/Python and SQL is must.
• Should have sound experience in data mining and data analysis.
• Excellent critical thinking, verbal and written communications skills.
• Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
• Good presentation skills

Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Gurgaon, India.

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

• Interact with C-level at our clients on regular basis to drive their business towards impactful change

• Lead your team in creating new business solutions

• Seize opportunities at the client and at Metyis in our entrepreneurial environment

• Become part of a fast growing international and diverse team

• Lead and manage the delivery of complex data science projects, ensuring quality and timelines.

• Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.

• Design solution architectures and guide the technical approach across projects.

• Align technical deliverables with business goals, ensuring data products create measurable business value.

• Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.

• Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.

• Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.

• Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.

• 6+ years of experience in delivering full-lifecycle data science projects.

• Proven ability to lead cross-functional teams and manage client interactions independently.

• Strong business understanding with the ability to connect data science outputs to strategic business outcomes.

• Experience with stakeholder management, translating business questions into data science solutions.

• Track record of mentoring junior team members and creating a collaborative learning environment.

• Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.

• Experience managing project roadmaps, resourcing, and client communication.

  • Tools & Technologies :

  o Strong hands-on experience in Python/R and SQL.

  o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.

  o Experience with data visualization tools in python like – Seaborn, Plotly.

  o Good understanding of Git concepts.

  o Good experience with data manipulation tools in python like Pandas and Numpy.

  o Must have worked with scikit learn, NLTK, Spacy, transformers.

  o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.

  o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.

  • Core Competencies:

  o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.

  o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.

  o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.

  o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.

  o Hands on experience with MLOps and model governance best practices in production environments.

  o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.

Good to have:

• Generative AI Experience with text and Image data.

• Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.

• Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

At American Express, our culture is built on a 175-year history of innovation, shared 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

Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment.

We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams.

Key activities for the role will include:

Qualifications:

·Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results

·Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy

·Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects

·Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus

·Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent)

·Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent)

·Experience in building NLP solutions and/or GEN AI are strongly preferred

·Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously.

·Team player with strong relationship building, management and influencing skills

·Strong verbal and written communication skills

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