116 Data Science jobs in Coimbatore

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

Job Responsibilities

As Manager-Delivery, you will be responsible for a wide range of engagements listed below:

• Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
• Develop a comprehensive project plan that aligns with the scope and objectives of the project.
• Develop appropriate solution design that will help client achieve their goals.
• Assign delivery team members to different activities suited to their individual skills.
• Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
• Accountable for the delivery quality of the project in question.
• Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.
• Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
• Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
• Provide both business and technical guidance to the delivery team.
• Coach individuals in the team and build a high-performance workplace.
• Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.
• Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.

Required Skills (Must have)

Tech:

• Advanced knowledge of probability and statistics
• Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them
• Intermediate knowledge levels in SQL and Python
• Intermediate knowledge of project management methodologies and tools
• Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word.

Non Tech:

• Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
• Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.
• Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
• Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
• Provide leadership and mentorship to the delivery team.
• Self-driven with a strong sense of ownership.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.

Title: Data Science

Experience: 8–15 years (at least 5 years relevant in AI/ML)

Location: Hyderabad

Notice Period: Immediate joiners only

Work Mode: Hybrid (2 days in office)

Interview Process: L1 – Virtual | L2 – Client (mandatory face-to-face in Hyderabad). Only candidates open to F2F can be considered.

Role Requirements:

• 8+ years’ proven experience in AI/ML solution design and deployment .
• Strong expertise in AI, ML, NLP, LLMs, RAG, and Generative/Agentic AI .
• Solid grounding in machine learning algorithms, statistics, and predictive modeling (classification, regression, clustering, ensembles, etc.).
• Hands-on with NLP, LLMs, and RAG implementations .
• Experience across AWS, Azure, or GCP with their respective AI/ML ecosystems (SageMaker, Azure ML, Vertex AI).
• Strong SQL for data preparation, feature extraction, and analysis .
• Skilled in feature engineering, preprocessing, and working with large datasets .
• Familiarity with development best practices (Git, CI/CD, code reviews).

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

Job Description: Data Scientist for Enhancing Support Operations

Responsibilities for this role include but are not limited to:

•Developing strategies to identify and mitigate inefficiencies in support operations for ExaScaler and SFA systems.

•Automating the collection and analysis of logs to reduce support resolution times.

•Designing and implementing real-time health scoring systems and dashboards for quick assessment of system status.

•Enhancing the search functionality of the knowledge base using natural language processing (NLP) algorithms.

•Developing a recommendation engine to suggest relevant articles and solutions based on context.

•Implementing machine learning algorithms to detect duplicate issues in Jira and providing automated merge suggestions.

•Creating and maintaining a centralized database of available patches and developing automated notifications for relevant patches.

•Collaborating with support engineers, sales engineers, and other stakeholders to understand requirements and deliver effective solutions.

•Documenting solutions, including implementation details and user guides, and providing training to support teams.

Qualifications:

•BS/MS in Data Science, Computer Science, Computer Engineering, or equivalent degree/experience.

•5+ years of experience in data analytics, machine learning, and automation.

•Proficiency in programming languages such as Python, R, or Java.

•Experience with data processing frameworks like Hadoop, Spark, or similar.

•Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn).

•Familiarity with natural language processing (NLP) techniques and tools.

•Experience with database systems and SQL.

•Strong problem-solving skills and ability to work with large datasets.

•Excellent communication skills and ability to collaborate with cross-functional teams.

•Self-starter with the ability to work independently and manage multiple tasks.

•Knowledge of distributed systems is a plus.

•Familiarity with version control systems like Git.

•Experience with issue tracking and CI/CD tools such as JIRA, Jenkins, Gerrit, and GitHub is useful.

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

Data Science Architect- Python & AI/ML

About Us:

Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.

Work Location: Hyderabad / Pune

Key Responsibilities

· Design and architect complex Generative AI solutions using AWS technologies

· Develop advanced AI architectures incorporating state-of-the-art GenAI technologies

· Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions

· Architect scalable AI systems using AWS Bedrock and SageMaker

· Design and implement agentic AI systems with advanced reasoning capabilities

· Develop custom AI solutions leveraging vector databases and advanced machine learning techniques

· Evaluate and integrate emerging GenAI technologies and methodologies

Technical Expertise Requirements

Generative AI Technologies

· Expert-level understanding of:

o Retrieval Augmented Generation (RAG)

o GraphRAG methodologies

o LoRA (Low-Rank Adaptation) techniques

o Vector Database architectures

o Agentic AI design principles

AWS AI Services

· Comprehensive expertise in:

o AWS Bedrock

o Amazon SageMaker

o AWS AI/ML services ecosystem

o Cloud-native AI solution design

Technical Skills

· Advanced Python programming for AI/ML applications

· Deep understanding of:

o Large Language Models (LLMs)

o Machine Learning architectures

o AI model fine-tuning techniques

o Prompt engineering

o AI system design and integration

Core Competencies

· Advanced AI solution architecture

· Machine learning model optimization

· Cloud-native AI system design

· Performance tuning of GenAI solutions

· Enterprise AI strategy development

Technical Stack

· Programming Languages: Python (required)

· Cloud Platform: AWS

· AI Technologies:

o Bedrock

o SageMaker

o Vector Databases

· Machine Learning Frameworks:

o PyTorch

o TensorFlow

o Hugging Face

· AI Integration Tools:

o LangChain

o LlamaIndex

We Offer:

• Opportunity to work on impactful technical challenges with global reach.

• Vast opportunities for self-development, including online university access and knowledge sharing opportunities.
• Sponsored Tech Talks& Hackathons to foster innovation and learning.

• Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
• Supportive work environment with forums to explore passionsbeyond work.

This role presentsa unique opportunity to contribute to the futureof impactful business solutions while advancing your career in a collaborative and innovative environment.

We're on the hunt for a passionate and skilled Data Scientists to join a world-class team of innovators.

Key Responsibilities

• Understand business objectives and frame them as data science problems, with a focus on forecasting.
• Design, develop, and maintain robust data pipelines and reproducible modeling workflows.
• Explore datasets, extract insights, and present findings to stakeholders.
• Lead and mentor a team of data scientists and senior data scientists .
• Build predictive models and analytic systems, and test their performance in real-world scenarios.
• Analyze experimental results, refine models, and continuously improve outcomes.
• Stay updated with emerging ML/AI techniques and apply them to business problems.

Requirements

• 5–7 years of experience in data analytics model development and deployment.
• Proven expertise in forecasting and predictive analytics .
• Hands-on experience with machine learning algorithms for business applications.
• Strong knowledge of data management and visualization techniques .
• Proficiency in SQL, Python, R, Hadoop .
• Experience managing teams of at least 2–3 members .
• Strong organizational, leadership, and communication skills.
• Ability to integrate analytics seamlessly with business processes.
• Bachelor’s degree (B.Tech/BE) in Computer Science, Data Science, Mathematics , or related field.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.

Department Overview

Advanced Analytics and Automation Portfolio builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

Job Overview

The Data Science Manager will be responsible for leading a team focused on AI and Machine learning solutions. The Manager applies Software Engineering, and DevOps practices to guide the team in building large-scale enterprise Analytics and Machine Learning solutions leveraging Google Cloud technologies.

The Manager brings in a product mindset and leverages AGILE practices to craft and drive iterations to support building new capabilities, addressing gaps and drive automations for Data Platforms and solutions.

Additionally, the Manager brings in a Service Provider mindset, demonstrate exceptional interpersonal skills, strong leadership, relationship management to build a strong and cohesive team that focuses on building new capabilities and operations. The Manager will work closely with business product owners, business leadership, and individual business users to ensure augIntel capabilities are consistently delivered.

Responsibilities

• Identify high-value ML business opportunities and work with Business and IT stakeholders to realize business benefit.
• Focus on driving outcomes for the business by defining success and by setting the right goals, metrics and processes to objectively quantify, measure and track impact.
• Manages department operations and supervises professional employees, vendor resources and/or business support staff
• Responsible for recruiting, staffing, coaching, and developing talent within the team.
• Responsible for setting a practice that helps deliver industrialized Data transformation capabilities and operations to support Analytics and AI/ML solutions
• Responsible for managing enterprise scale Data platform operations (Data, Analytics and MLOps)
• Planning, demand management, budgetary management, and operational metrics for Data Platforms.
• Manages expectations with key stakeholders, builds and fosters relationships
• Participates in the development of policies and procedures to achieve specific goals
• Ensures employees operate within guidelines
• Applies data aggregation, descriptive analysis and data presentation techniques and tools to communicate complex findings and recommendations to influence others to act.
• Demonstrates ability to communicate complex information clearly and concisely to a variety of audiences and mediums.
• Manages the financial aspects of the team, including onsite and offshore hourly rates, cloud costs, travel and training costs, timecards, SOWs, monthly MSA and staff augmentation approvals
• Applies lean and agile principles to their leadership, and guides their team through continuous improvement

Desired Qualifications

• Bachelor's degree preferred or equivalent work experience
• Experience managing teams of 10+ resources including full time, contract and/or vendor resources
• 14+ years of experience in Big Data systems, Data Lakes and Analytics related field managing Build & Run teams
• Prefer experience architecting, designing data lakes leveraging cloud services supporting Analytics and ML/AI Solutions
• Prefer experience in Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage.
• Prefer experience in managing BIA Technology Platforms and solutions
• Prefer experience managing teams and service delivery in an ODC (Offshore Delivery Center) setting for MNC (multi-national company)
• Ability to develop individuals along a professional career path
• Excellent oral and written communication skills
• Prefer experience with DevOps Agile practices

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

Hiring for Director - Solution Architect

Work Mode: Remote

Experience: 15+Yrs

Compensation:55 lpa includes 10% variables

Notice Period: Immediate to 30 days of joiners

Required Skills:

• Programming Proficiency : Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
• Machine Learning : Extensive experience with statistical modeling, deep learning, NLP, computer vision, and generative AI technologies
• Infrastructure & Deployment : Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and ML pipeline orchestration
• Data Engineering : Strong understanding of data architectures, feature engineering, and big data technologies (Spark, Hadoop, Kafka)
• Programming Proficiency : Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
• Leadership Skills : Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.
• Problem-Solving Abilities : Excellent analytical skills to address complex technical challenges and devise innovative solutions.
• Background in building and scaling ML platforms in high-growth technology companies.

Key Responsibilities:

•Design and Oversee AI Architecture: Develop the overall architecture for the LLM from pretraining to supervised fine tuning and RLHF

• Technical Strategy & Roadmap: Define and execute comprehensive ML/AI strategy aligned with business objectives, including LLM infrastructure, retrieval pipelines, and generative workflows

•Architecture Oversight: Lead system architecture decisions for scalable ML platforms, ensuring robust model deployment and operational excellence

•Cross-functional Collaboration: Partner closely with product management, engineering, and business stakeholders to translate requirements into technical solutions

•Model Development: Actively participate in designing, training, and optimizing machine learning models, maintaining technical currency with 20-30% hands-on contribution

•Code Reviews & Technical Guidance: Conduct thorough code reviews and provide technical mentorship to ensure engineering excellence across the team

•Team Building: Recruit, hire, and develop top-tier ML engineers, data scientists, and researchers while fostering a culture of innovation and continuous learning

•Mentorship: Guide team members through complex technical challenges, career development, and best practices in ML engineering

Interested candidates please send your updated resumes at

or whats up at

Warm Regards,

Anjana_HR