9,182 Data Science Manager jobs in India

Data Science Manager

This role is with one of our client, which is an AI-Powered Revenue Cycle Intelligence Platform, transforming the healthcare billing stack with autonomous medical coding, proactive denial prevention, and workflow automation solutions.

Location: Work from Office – Koramangala, Bangalore

Experience: 5–6 years

We are looking for a Data Science Manager who can lead the design and delivery of scalable, data-driven backend systems while effectively managing cross-functional teams and engaging with clients. This role combines technical leadership, project delivery, and people management—ideal for someone who thrives at the intersection of code, communication, and execution.

Key Responsibilities:

• Work closely with Data Science teams to embed AI models and analytical capabilities into core applications.
• Lead end-to-end sprint cycles, including sprint planning, task allocation, daily standups, and retrospectives.
• Track team performance and delivery timelines, using tools like JIRA, Trello, or Asana to monitor progress.
• Serve as the primary technical point of contact for clients- gathering requirements, clarifying expectations, and presenting deliverables.
• Translate client needs into actionable engineering goals while ensuring customer satisfaction.
• Manage a team of data scientists and analysts- offering coaching, feedback, and mentorship to support career growth.
• Foster a collaborative team culture that values transparency, ownership, and continuous improvement.
• Ensure that the team follows clean coding principles, test-driven development, and proper documentation.
• Conduct and guide peer code reviews to maintain high engineering standards.
• Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready.

Requirements

• 5+ years of experience in data science, backend development, or related technical leadership roles.
• Hands-on experience with GenAI, Large Language Models (LLMs), and vision systems is a must. Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas, Python, REST APIs).
• Exposure to data pipelines, analytics tools, or integrating AI/ML models.
• Familiarity with cloud platforms (AWS/GCP/Azure).
• Project management experience (Agile, Scrum).
• Excellent written and verbal communication skills.

About RapidClaims:

RapidClaims is a leader in AI-driven revenue cycle management , transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund .

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and

>99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Data Science Manager - Job Overview:

We are looking for a Data Science Manager who can lead the design and delivery of

scalable, data-driven backend systems while effectively managing cross-functional teams

and engaging with clients. This role combines technical leadership, project delivery, and

people management—ideal for someone who thrives at the intersection of code,

communication, and execution.

Key Responsibilities:

Technical Leadership & Data Architecture:

Work closely with Data Science teams to embed AI models and analytical capabilities

into core applications.

Lead end-to-end sprint cycles, including sprint planning, task allocation, daily

standups, and retrospectives.

Track team performance and delivery timelines, using tools like JIRA, Trello, or

Asana to monitor progress.

Serve as the primary technical point of contact for clients—gathering requirements,

clarifying expectations, and presenting deliverables.

Translate client needs into actionable engineering goals while ensuring customer

satisfaction.

Manage a team of data scientists and analysts—offering coaching, feedback, and

mentorship to support career growth.

Foster a collaborative team culture that values transparency, ownership, and

continuous improvement.

Ensure that the team follows clean coding principles, test-driven development, and

proper documentation.

Conduct and guide peer code reviews to maintain high engineering standards.

Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready.

Preferred Skills:

Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas,

Python, REST APIs)

Exposure to data pipelines, analytics tools, or integrating AI/ML models

Familiarity with cloud platforms (AWS/GCP/Azure)

Project management experience (Agile, Scrum)

Excellent written and verbal communication skills

Purpose of the Role

We are seeking a highly motivated and experienced Senior Data Scientist to join our team and spearhead the development of Generative AI (GenAI) capabilities within Mondelz International from an enterprise application perspective. In this pivotal role, you will champion the full lifecycle of GenAI application projects, taking ownership from initial concept and design to successful deployment, ongoing optimization, and continuous improvement. Beyond project execution, you will serve as a strategic advisor, guiding the evolution of our GenAI capabilities and ensuring alignment with overarching business objectives. This includes defining and enforcing internal standards for GenAI application development, guaranteeing compliance with ethical and security guidelines. You will also support the design of enterprise-level logical architectures for typical GenAI applications and evaluate and recommend the most appropriate tools and technologies to empower our GenAI initiatives. Ultimately, you will play a critical role in shaping the future of GenAI within Mondelz, driving innovation, maximizing value realization, and fostering responsible AI adoption across the enterprise.

Key Responsibilities:

• GenAI Application development: Serve as the tech lead from data science point of view in the complete lifecycle of GenAI application projects, from initial ideation and design to successful deployment, optimization, and continuous improvement. Include both in house development or partner collaboration.
• Strategic Advisory: Provide strategic advice on the evolution of our GenAI capabilities to match company goals. Keeping up with the latest GenAI trend and map that to Mondelez application context to enable us do things better and smarter.
• Standards and Governance: Help establish and enforce programmatic approaches, governance frameworks and best practices for effective GenAI application building. Responsible AI for GenAI applications, data protection in GenAI context, complying to regulatory requirements and cost-effective GenAI application deployment.
• Enterprise Architecture Support: Support the design and development of enterprise-level logical architectures for typical GenAI applications, ensuring scalability, maintainability, and integration with existing infrastructure.
• Technology Evaluation and Recommendation: Evaluate and recommend the most appropriate GenAI tools, technologies, and platforms to empower our GenAI initiatives, staying abreast of the latest advancements in the field with a focus on cloud-based tools/technologies.
• Knowledge Sharing and Mentoring: Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong GenAI community within Mondelz.

Skills and Experiences:

• Deep understanding of data science methodologies and implications: proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc. Experience in mapping business problems to such methodologies with clear understanding/consideration in Ethical implications, risk mitigation, integration requirements, resource demand/optimization etc.
• Hands-on experience in cloud environment (8 years): Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc.
• Working experience with MLOps (5 years): Understand MLOps processes and practice, familiar with MLOps Tools and technologies. Contributed significantly to shaping MLOps practice in an enterprise setup.
• LLM Application architecture & Integration (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies. Extensive experience integrating LLM into workflow through different ways (API etc). Experience in build Agent to leverage LLM and other tools for complex tasks. Familiar with Agent frameworks and orchestration tools.
• Core GenAI expertise (3 years): Prompt Engineering, Agentic Framework, Model fine-tuning.
• Cloud Based Deployment & Scaling (LLM-Specific): Practical experience deploying and scaling LLM-based applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application.
• Collaboration with cross-functional teams (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts.

Qualifications:

• Masters degree in a Quantitative Discipline, PhD preferred.
• Minimum 8 years of experience in data science/AI.
• Minimum 3 years of GenAI focused experience.

• Lead and mentor a high-performing data science team.
• Drive end-to-end ML and GenAI projects from ideation to deployment.
• Define and execute data strategies aligned with business objectives.
• Collaborate with engineering, product, and business teams.
• Ensure data integrity, governance, and scalable infrastructure.
• Implement and manage MLOps practices (CI/CD, monitoring, model retraining).
• Stay updated with advancements in AI, GenAI, and ML technologies.
• Proficient in Python, ML frameworks (TensorFlow, PyTorch), GenAI tools (e.g., LLMs), cloud platforms (AWS/GCP/Azure), and MLOps pipelines.

Trivandrum Kerala India

Role Data Scientist Manager

Years of Experience –10+ years

Purpose of Role

• In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
• To help our company analyze trends to make better decisions.
• Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes.
• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action.

Key Accountabilities

Responsibilities will include but will not be restricted to:

• Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities.
• Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions.
• Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions.
• Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Recruit, train, develop and supervise Junior level employees.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Requirements (what)

• Proven experience of 8+ years as a Data Scientist.
• Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus.
• Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement.
• Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks.

Desired Personal Qualities or Behavior

• Strong Analytical critical thinking skills and business acumen
• Strong commitment to professional development.
• Process Oriented and excellent time management skills.
• Ability to adapt to new situations and issues and to solve problems.
• Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Role & responsibilities

Preferred candidate profile

Perks and benefits

Hello,

Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).

Job Description given below please go through to understand the requirement.

if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ).

Mention Subject Line
:-

Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)

Share your details in the mail :-

Full Name :

Mobile # :

Qualification :

Company Name :

Designation :

Total Work Experience Years :

Current CTC :

Expected CTC :

Notice Period :

Current Location :

If out-station willing to move to Hyd? :

Office Address
: 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana

Job Description :-

Data Science Manager - AI & GENERATIVE LANGUAGE MODELS

Position Overview

We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.

Core Responsibilities

Strategic Leadership

• Develop and execute our organization's vision and strategy for generative AI and LLM applications
• Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
• Identify high-impact business opportunities where LLMs can deliver significant value
• Establish roadmaps for AI implementation hat align with broader organizational goals
• Stay at the forefront of rapidly evolving LLM technologies and industry developments

Technical Direction

• Oversee the design, development, and optimization of LLM-based applications
• Guide the selection, customization, and fine-tuning of language models for specific use cases
• Establish architecture and frameworks for integrating LLMs into existing products and services
• Implement best practices for prompt engineering, context handling, and model evaluation
• Ensure AI solutions balance performance, cost-efficiency, and ethical considerations

Team Management

• Build and mentor a talented team of AI specialists with expertise in generative models
• Create a collaborative environment that fosters innovation and knowledge sharing
• Set clear objectives and performance expectations for team members
• Recruit, develop, and retain top AI talent in a competitive market
• Promote continuous learning and professional growth within the team

Cross-Functional Collaboration

• Partner with business leaders to translate organizational needs into AI solutions
• Collaborate with product, engineering, and design teams to integrate AI capabilities
• Communicate complex AI concepts effectively to various stakeholders
• Work with legal and compliance teams to ensure responsible AI deployment
• Drive AI literacy and adoption across the organization

Experience

• 10+ years of experience in artificial intelligence or machine learning
• 5+ years of hands-on experience with LLMs and generative AI technologies
• 5+ years in leadership roles managing technical teams
• Proven track record of successfully implementing AI solutions in production environments
• Experience with LLM fine-tuning, prompt engineering, and AI application development

Technical Skills

• Deep understanding of LLM architectures, capabilities, and limitations
• Expertise in natural language processing and generative AI techniques
• Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with MLOps and AI deployment infrastructures
• Knowledge of responsible AI practices, including bias mitigation and ethical AI use

Education Qualification

• Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
• Relevant certifications in AI, machine learning, or cloud technologies are a plus

Leadership & Professional Skills

• Strong strategic thinking and business acumen
• Excellent communication and stakeholder management abilities
• Team leadership and mentoring capabilities
• Problem-solving mindset and ability to drive innovation
• Project management skills and experience with agile methodologies

Thanks & Regards,

Salim

(Human Resources)

Opportunity Overview:

We are seeking a highly skilled and technically sound Data Science Team Manager to lead and drive our data science initiatives. This is a hands-on leadership role, ideal for someone with strong experience in designing and architecting data solutions, streamlining workflows, and directly contributing to team deliverables. This is not a traditional people management role; instead, we're looking for a technologically proficient leader who thrives on building solutions, mentoring others, and aligning data strategies with business goals.

This role requires hands-on experience building and architecting end-to-end NLP, data science, and machine learning solutions using tools such as Python, SQL, and AWS services, including EC2, Lambda, Glue, SNS, SQS, Sagemaker, EMR, and Athena. Adapt leveraging these technologies to design scalable, production-ready pipelines and intelligent systems. Ability to architect the design and deployment of scalable, production-ready machine learning pipelines and intelligent systems.

Required Qualifications:

• 7+ years of professional experience in data science, machine learning, data engineering, or related technical discipline.
• Proven experience in managing or leading technical teams, with a strong emphasis on mentoring and delivery.
• Lead by example as a hands-on manager, actively engaging in coding, solution design, and problem-solving alongside the team.
• Demonstrated experience in designing and implementing complex data architectures and pipelines.
• Partner with senior leadership to define the organization's data strategy and ensure alignment with business objectives.
• Develop and enforce data governance frameworks, policies, and procedures to ensure data quality, compliance, and risk mitigation.
• Streamline workflows and optimize processes to improve the efficiency, quality, and output of the data science team.
• Actively mentor and upskill team members, providing knowledge transfer and support for continuous learning and development.
• Foster cross-functional collaboration by working closely with engineering, product, analytics, and business teams to ensure data solutions are aligned with organizational goals and integrated seamlessly across platforms.
• Drive a culture of responsibility, ownership, and accountability within the team.
• Balance multiple concurrent projects while ensuring high-quality outcomes and timely delivery.
• Maintain a deep understanding of current technologies and industry best practices to ensure the team remains innovative and competitive.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Solid understanding of Object-Oriented Programming (OOP) principles with experience in writing clean, modular, and reusable code for scalable data science applications.
• Proficient in Git for version control, including branching strategies, pull requests, and collaborative code reviews.
• Hands-on experience using JIRA (or similar tools) for sprint planning, task tracking, and agile workflow management.
• Strong verbal and written communication skills; capable of interacting effectively with both technical and non-technical stakeholders.
• Self-motivated, proactive, and driven, with a strong sense of ownership and accountability.

Good to Have

• Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition
  
  (NER).
• Strong Leadership Skills.
• Deployment of custom-trained and prebuilt NER models using AWS Sagemaker.
• Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2.
• Should have Intellectual curiosity to learn new things.
• ISMS responsibilities should be followed as per company policy.

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

• Connect with Talent Acquisition for a Preliminary Phone Screening

• Meet your Hiring Manager

• Live Design Exercise

• Cross-Functional Interview

• Subject to change

About ZignaAI, a Cohere Health Company:

ZignaAI, a Cohere Health company, is focused on delivering innovative solutions that transform healthcare payment operational processes. We empower payers, providers, and patients with AI powered software solutions that drive transparency in healthcare payment services. Built-in intelligence-enabled machine learning algorithms deliver pre-billing payment accuracy solutions and avoid provider abrasion. We differ from traditional payment services solutions by resolving issues at the root by ensuring accurate payments and automating processes with nudges delivered to billing coders. Our innovative and scalable solutions cover Medicaid, Medicare, and Commercial policies, and deliver results in weeks.

Cohere Health is a fast-growing clinical intelligence company that's improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can't wait to learn more about you and meet you at ZignaAI, a Cohere Health company

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.

15+ years of experience in Data Science, GenAI, Machine Learning, and AI, Python

Required Candidate profile

You will be responsible for leading the technical direction of computer vision projects,

ensuring the successful implementation of cutting-edge AI/ML algorithms, and driving

the development.

About RapidClaims:

RapidClaims is a leader in
AI-driven revenue cycle management
, transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised
$11 million in total funding
from top investors, including
Accel

and Together Fund
.

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You'll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and

99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Data Science Manager - Job Overview:

We are looking for a Data Science Manager who can lead the design and delivery of

scalable, data-driven backend systems while effectively managing cross-functional teams

and engaging with clients. This role combines technical leadership, project delivery, and

people management—ideal for someone who thrives at the intersection of code,

communication, and execution.

Key Responsibilities:

Technical Leadership & Data Architecture:

Work closely with Data Science teams to embed AI models and analytical capabilities

into core applications.

Lead end-to-end sprint cycles, including sprint planning, task allocation, daily

standups, and retrospectives.

Track team performance and delivery timelines, using tools like JIRA, Trello, or

Asana to monitor progress.

Serve as the primary technical point of contact for clients—gathering requirements,

clarifying expectations, and presenting deliverables.

Translate client needs into actionable engineering goals while ensuring customer

satisfaction.

Manage a team of data scientists and analysts—offering coaching, feedback, and

mentorship to support career growth.

Foster a collaborative team culture that values transparency, ownership, and

continuous improvement.

Ensure that the team follows clean coding principles, test-driven development, and

proper documentation.

Conduct and guide peer code reviews to maintain high engineering standards.

Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready.

Preferred Skills:

Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas,

Python, REST APIs)

Exposure to data pipelines, analytics tools, or integrating AI/ML models

Familiarity with cloud platforms (AWS/GCP/Azure)

Project management experience (Agile, Scrum)

Excellent written and verbal communication skills