What Jobs are available for Data Scientists in Mumbai?

Hi,

We are having an opening for Manager / Senior Manager 2 Data Science at our Mumbai location

Job Summary :

The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders.

Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners

Areas of Responsibility :

For designated complex and business critical digital and technology based data & AI related projects,

• Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases
• Clear understanding of the expected business outcome, business value and specific outputs / deliverables
• Managing stakeholders and expectations from use of data science and analytics
• Working in tandem with Data guardians from different functions, in-line with their requirements and vision
• Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided
• Planning benefits realization for Data Science projects and execution strategy
• Reusability of data streams, wherever applicable, to eliminate duplication in data foot print
• Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers
• Structuring delivery team organization, managing the engagement with relevant partner ecosystem
• Managing CI-CD pipelines and building ML products for internal teams
• Managing budgets, managing scope, time and quality, measuring and managing change
• Targeted communication, orchestration and governance
• System/solution usage and adoption, benefit realization and measurement

Educational Qualification : B. Tech / MBA

Skills :

• Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment.
• Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users
• Ability to understand and interpret complex datasets and formulate means for merging disparate data sources
• Strong fundamentals in cloud services and data lake architecture.
• Work involves handling sensitive data and confidential information requiring discretion on the role holder's part.
• Ability to work under deadlines and comfortable with certain level of ambiguity
• Ability to multi task, successfully adapt to changes in work priorities.
• Should be comfortable to operate at a strategic level, and also have an eye for detail.
• Should be a self motivated

Experience :

7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute)

Experience in handling data/ data models for different functions

• Assist in collecting and cleaning large datasets from various sources.
• Learn to perform exploratory data analysis (EDA) to understand data patterns and characteristics.
• Support data scientists in building and validating predictive models using machine learning algorithms.
• Develop data visualizations to communicate findings effectively.
• Gain exposure to programming languages commonly used in data science, such as Python and R.
• Learn about database management and querying using SQL.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Understand and apply statistical methods for data analysis.
• Assist in the documentation of data science processes and findings.
• Collaborate with cross-functional teams to understand business requirements and data needs.
• Learn to deploy and monitor machine learning models in production environments.
• Work with big data technologies and cloud platforms.
• Receive mentorship and guidance from senior data science professionals.
• Develop a strong portfolio of data science projects.
• Contribute to the continuous improvement of data science workflows and tools.
• Understand ethical considerations and best practices in data handling and analysis.
• Gain practical experience in feature engineering and model selection.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving skills.
• Basic understanding of programming concepts, preferably in Python or R.
• Familiarity with basic statistical concepts.
• Eagerness to learn and a strong passion for data science and machine learning.
• Excellent communication skills, both written and verbal.
• Ability to work independently and as part of a remote team.
• Proactive attitude and a willingness to take on new challenges.
• Basic knowledge of SQL is a plus.
• Experience with data visualization tools is a plus.
• Understanding of data ethics and privacy principles is beneficial.
• A keen interest in uncovering patterns and insights from data.

• Develop and deliver high-quality lectures and course materials for undergraduate and postgraduate programs in Data Science.
• Design and implement innovative pedagogical approaches to effectively teach complex data science concepts.
• Conduct independent research in Data Science or a related field, publishing findings in reputable journals and presenting at conferences.
• Supervise student research projects, dissertations, and theses.
• Mentor and advise students on academic and career development.
• Contribute to curriculum development and enhancement for the Data Science programs.
• Engage in academic service, including committee work and program administration.
• Collaborate with faculty members across departments to foster interdisciplinary research and teaching initiatives.
• Stay abreast of the latest advancements and trends in data science, artificial intelligence, and machine learning.
• Promote a positive and inclusive learning environment for all students.
• Participate in departmental and institutional events and initiatives.
• Contribute to the growth and reputation of the Data Science department.

• Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field.
• A strong publication record in peer-reviewed journals and conferences.
• Minimum of 5 years of teaching experience at the university level, with a proven ability to engage students.
• Demonstrated expertise in core data science areas such as machine learning, statistical modeling, data mining, big data analytics, and data visualization.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) and relevant libraries/frameworks.
• Excellent communication, presentation, and interpersonal skills.
• Ability to inspire and motivate students.
• Experience in curriculum development and academic administration is desirable.
• A passion for research and a commitment to academic excellence.
• Ability to work collaboratively within a faculty team.

• Assist in collecting, cleaning, and pre-processing large datasets from various sources.
• Support data scientists in developing and implementing machine learning models for classification, regression, and clustering tasks.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Help in creating data visualizations and reports to communicate findings to stakeholders.
• Learn and apply statistical techniques and data mining methods.
• Participate in team meetings, brainstorming sessions, and training workshops.
• Contribute to documentation of data science processes and methodologies.
• Gain hands-on experience with programming languages like Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Support the testing and validation of data models.
• Work collaboratively with a remote team to achieve project goals.

• Recent graduate (within the last 12 months) with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of programming concepts, preferably with exposure to Python or R.
• Familiarity with basic statistical concepts and machine learning algorithms is a plus.
• Excellent communication skills, both written and verbal, with the ability to work effectively in a remote setting.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Ability to work independently and manage time effectively in a remote environment.
• Must have reliable internet access and a dedicated workspace for remote work.

Greetings from TCS!

TCS Mumbai hiring for Artificial intelligence Architect(Technical Lead) !

Role: Artificial intelligence Architect

Experience required: 7 to 9 years

Location:- Mumbai

Required Technical skill Set:-

• We are seeking a visionary and hands-on AI/ML GenAI & NewTech Architect to lead the design and implementation of cutting-edge AI capabilities within our SaaS-based ITOM product suite. This role is pivotal in driving innovation across observability, automation, and predictive operations using Generative AI, Machine Learning, and emerging technologies.

MUST HAVE:-

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Proven experience in building and deploying AI/ML models in production, preferably in ITOM or ITSM domains.
• Strong knowledge of LLMs, NLP, GenAI frameworks (e.g., LangChain, Hugging Face, OpenAI, Azure OpenAI)
• Working knowledge of RAG, MCP
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Familiarity with SaaS architecture, microservices, APIs, and containerization (Docker, Kubernetes).
• Working knowledge of MCP (Model Context Protocol) for managing contextual integrity and dynamic prompt orchestration in GenAI systems.
• Understanding of Agentic AI architectures for autonomous task execution, planning, and orchestration using AI agents.
• Excellent communication and leadership skills

Company Overview

Adzat is a premier Internet Marketplace Platform headquartered in Mumbai, specializing in connecting businesses with India's top marketing, creative, and tech talent. We leverage AI to match businesses with the right freelancers, agencies, and, soon, full-time professionals. Our innovative approach ensures faster and smarter hiring processes. Offering a range of services from digital marketing to full-stack development, Adzat stands as the ultimate destination for high-quality work. Our commitment to using cutting-edge technologies enables businesses to thrive in a competitive environment. Visit us at .

Job Overview

Adzat is seeking a motivated and talented individual for the role of Artificial Intelligence (AI). As a fresher, you will be based out of our Mumbai office and will work in an exciting, fast-paced environment. This position requires minimal work experience of 0 to 1 year, allowing new graduates to apply their learning in real-world scenarios and grow with the company's innovative vision. In this role, you will not only apply theoretical knowledge but also have the opportunity to engage directly with specialists in the field, gaining insights and expertise from industry leaders. This is an exciting enterprise where emerging technology meets creativity, giving you a chance to be at the forefront of AI-driven innovation. You will work closely with dynamic teams dedicated to redefining marketplace interactions.

Qualifications and Skills

• A strong understanding of artificial intelligence principles and machine learning algorithms is essential to excel in this role.
• Experience or coursework in Python, R, or any relevant AI programming languages will be highly beneficial.
• Ability to work collaboratively in a team environment while also taking ownership of individual tasks and projects.
• Must have analytical skills to troubleshoot issues, simplify complex data, and present findings clearly.
• Excellent problem-solving skills and attention to detail to ensure accuracy and quality in deliverables.
• A proactive approach to learning and applying new AI technologies and methodologies in a practical setting.
• Strong communication skills, both verbal and written, to articulate AI concepts and results effectively.
• Passion for innovation and a drive to continuously learn and implement AI technologies and tools.
• Familiarity with AI ethics and responsible AI practices ensures the delivery of equitable and unbiased solutions.
• Interest in expanding knowledge on the integration of AI with other technological advancements like IoT and big data analytics.
• Enthusiasm for participating in AI-focused workshops and seminars that drive personal and professional development.

Roles and Responsibilities

• Develop and implement AI-based solutions to real-world problems in collaboration with cross-functional teams.
• Analyze and interpret complex datasets to drive optimization and improve decision-making processes.
• Assist in the design and testing of AI models and machine learning algorithms to enhance product features.
• Collaborate with the tech and creative teams to integrate AI solutions into the company's platform effectively.
• Keep up-to-date with the latest AI trends and technologies to ensure the adoption of cutting-edge solutions.
• Contribute to knowledge sharing sessions and documentation to support ongoing learning within the team.
• Engage actively in team meetings to discuss project progress, challenges, and opportunities for improvement.
• Provide support in troubleshooting and fine-tuning AI models for better accuracy and performance.
• Coordinate with data scientists to ensure the refinement and scalability of AI innovations.
• Participate in code reviews and contribute to the team's collaborative coding practices and overall productivity.
• Support in the creation of AI-driven dashboards and reporting tools to visualize and communicate insights effectively.
• Engage in exploratory projects that challenge current business models and expand the potential use cases for AI.