business analyst

associate - data scientist - go/jc/1134/2025 Jobs in Noida

associate - data scientist - go/jc/1134/2025

data architect

data visualization

digital strategist

data scientist

Weekday AI (YC W21)

<div>
 This role is for one of Weekday's clients
 
 
 Min Experience: 2 years
 
 
 Location: Mumbai, Gurgaon, NCR, Delhi, NOIDA
 
 
 JobType: full-time
 
 
 
 Requirements
 
 
 
 
 About the role
 
 
 
 As a Data Scientist, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for its clients.
 
 
 
 Key Competencies :
 
 
 
 <ul>
 <li>
 Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.
 </li>
 <li>
 Conceptualizing business problems and drive frameworks.
 </li>
 <li>
 Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems.
 </li>
 <li>
 Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently.
 </li>
 <li>
 Collaborating to work in cross-functional teams with diverse backgrounds and perspectives
 </li>
 <li>
 A master's degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field
 </li>
 <li>
 2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data
 </li>
 <li>
 Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning
 </li>
 <li>
 Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud
 </li>
 <li>
 Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.
 </li>
 <li>
 Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.
 </li>
 </ul>
</div>

Data Scientist

Coforge

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 A Developer, you will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong Programming skills in Python or Scala.
 </li>
 <li>
 Hands-on experience in vector databases like Pinecone, and Chroma db.
 </li>
 <li>
 Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn (e.g., APIs, microservices, event-driven IT, MLflow).
 </li>
 <li>
 Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps).
 </li>
 <li>
 Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
 </li>
 <li>
 Minimum 8-10 years of experience in implementing automation initiatives based on Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA and other tools.
 </li>
 <li>
 Hands-on experience on programming (Python, Scala) and working with Gen-AI frameworks, LLM Models.
 </li>
 <li>
 Hands-on Experience to all SDLC Phases.
 </li>
 <li>
 Deploy AI models into production environments, ensuring they integrate smoothly with existing software systems.
 </li>
 <li>
 Monitor, update &amp; refine the performance of deployed models.
 </li>
 <li>
 Should be skilled in problem-solving, Data analysis and Interpretation, pattern recognition, Algorithmic thinking, critical thinking, debugging and troubleshooting.
 </li>
 <li>
 Automate model packaging and deployment into production environments, with traceability on model version, experimentation and control checks.
 </li>
 <li>
 Building automated model performance monitoring services to monitor model health and report data to data scientists, model owner, and model validators.
 </li>
 <li>
 Builds and mentors architecture teams.
 </li>
 <li>
 Have the mindset to build Enterprise-grade solutions aligned to the industry's best practices.
 </li>
 <li>
 Build reusable frameworks and platforms to allow data scientists, devops teams to train and deploy models.
 </li>
 <li>
 Exceptional written, verbal, and interpersonal communication skills to articulate strategies to technical audiences.
 </li>
 <li>
 Collaborate to create propositions on AI / GenAI for clients.
 </li>
 <li>
 Willingness to quickly learn and start using various technologies and contribute to the COE.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Mandatory Skills: PYTHON
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong Programming skills in Python or Scala.
 </li>
 <li>
 Hands-on experience in vector databases like Pinecone, and Chroma db.
 </li>
 <li>
 Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Experience with MLOps and DevSecOps.
 </li>
 <li>
 Hands-on experience with Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA.
 </li>
 </ul>
 
 
</div>

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Role and Responsibilities:
 
 
 Collect, clean, and preprocess large datasets from various sources and conduct exploratory data analysis to extract insights and identify key features.
 
 
 Design, develop, and validate machine learning models to solve business problems
 
 
 Collaborate with product managers, analysts, and engineers to translate business needs into technical solutions.
 
 
 Deploy ML models into business insights through reports, dashboards, and presentations.
 
 
 Monitor model performance and update models as needed to adapt to data drift or business changes.
 
 
 Maintain documentation on datasets, modelling processes, and results.
 
 
 Stay up to date with the latest machine learning techniques and tools.
 
 
 
 Key Skillset
 
 
 
 Should have experience in Machine learning, LLM, deep learning.
 
 
 Should have experience in data analysis, statistical modelling, and programming skills with advanced machine learning.
 
 
 
 Skills Required
 
 
 
 RoleAssociate - Data Scientist
 
 
 Industry TypeITES/BPO/KPO
 
 
 Functional AreaITES/BPO/Customer Service
 
 
 Required Education Bachelor
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 AI ENGINEER
 </li>
 <li>
 MACHINE LEARNING
 </li>
 <li>
 DATA SCIENTIST
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1134/2025
 
 
 Recruiter NameDivya R
</div>

Associate - Data Scientist - GO/JC/1134/2025

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
 
 
 
 
 Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
 
 
 Responsibilities:
 
 
 
 3+ years of experiences, expertise in Python, SQL, AI/ML, have good understanding data and analytics concepts, preferably with some experience in
 
 healthcare/pharma/diagnostics
 
 domain. Location - Mumb
 
 .
 
 
 Mandatory skill sets:
 
 
 Data Scientist
 
 
 Preferred skill sets:
 
 
 Data Scientist
 
 
 Years of experience required:
 
 
 4-8
 
 
 Education qualification:
 
 
 Btech/MBA/MC
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Data Science
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN_Senior Associate_Data Scientist _D&A_Advisory_Noida

Microsoft

<div>
 Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data &amp; Applied Scientist.
 
 
 We are looking for a strong
 
 Senior
 
 
 Data Scientist
 
 with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards.
 
 
 You will be delivering results through innovation and persistence when similar candidates have given up.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 
 Dashboard Development and Maintenance:
 
 
 
 <ul>
 <li>
 Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights.
 </li>
 <li>
 Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications.
 
 
 </li>
 </ul>
 
 Data Extraction And Analysis
 
 
 
 <ul>
 <li>
 Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs.
 </li>
 <li>
 Ensure data accuracy and integrity in reporting and analysis.
 </li>
 <li>
 Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development.
 
 
 </li>
 </ul>
 
 Metric Development And Tracking
 
 
 
 <ul>
 <li>
 Be the SME who understand landscape of what data (telemetry) are and should be captured
 </li>
 <li>
 Advice feature teams on telemetry best practices to ensure business needs for data are met.
 </li>
 <li>
 Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance.
 </li>
 <li>
 Identify trends and insights in the data to support decision-making processes.
 
 
 </li>
 </ul>
 
 User Journey And Funnel Analysis
 
 
 
 <ul>
 <li>
 Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement.
 </li>
 <li>
 Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product.
 
 
 </li>
 </ul>
 
 Forecasting And Growth Analysis
 
 
 
 <ul>
 <li>
 Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling.
 </li>
 <li>
 Provide insights and recommendations to help drive strategic planning and execution.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <ul>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc.
 </li>
 <li>
 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar.
 </li>
 <li>
 Candidate must be able to communicate complex ideas and concepts to leadership and deliver results.
 </li>
 <li>
 Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
 </li>
 <li>
 Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Data & Applied Scientist

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Classplus

<div>
 
 
 About us:
 
 
 
 
 
 
 We are a revolutionary B2B Ed-Tech startup based out of Noida, India. We help educators and content creators embark on their digital teaching journeys by providing them with a platform that empowers them to seamlessly transition online, offering live classes, storage solutions, transaction features, content monetization, and much more &ndash; all in one super app.📱
 
 
 We recognized the potential of educators and content creators, not just across India's tier 1 and tier 2 cities, but beyond, and became their secret &ldquo;weapon of mass instruction&rdquo;. 🌏
 
 
 
 
 
 
 What sets us apart?
 
 🌟
 
 
 
 
 
 We thrived in the post-pandemic era. Today, we support a whopping
 
 1 lakh+ educators and content creators
 
 from over
 
 3,000 towns and cities
 
 . We have educators from test prep categories to new-age content creators teaching
 
 personal finance, cooking, digital marketing, organic farming, and many more,
 
 breaking barriers and reaching students globally using their own branded apps. Their growth has been meteoric, with some of them seeing revenue growth of more than
 
 10X
 
 of what they did pre-Classplus. 📈
 
 
 We&rsquo;re
 
 Series-D
 
 funded and have marquee investors including Alpha Wave, Tiger Global, Sequoia Capital's Surge, Times Internet, Blume Ventures, and GSV Ventures put their faith in us.💰
 
 
 Do you want to work with people who are creative, fun, and dynamic? Do you have what it takes to help us take this rocketship even higher? Find out below!
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 
 As a
 
 Product Analyst
 
 at Classplus, you will play a pivotal role in transforming data into actionable insights. You will work closely with cross-functional teams to understand their data needs, create comprehensive dashboards and reports, and automate processes to enhance efficiency. Your expertise in SQL, MongoDB, and Python will be crucial in driving data-driven decision-making across the organization.
 
 
 
 
 
 
 
 What will you do?
 
 
 
 
 
 
 
 
 Dashboard and Report Creation:
 
 
 <ul>
 <li>
 
 Design
 
 and develop insightful dashboards and reports using SQL and MongoDB.
 </li>
 <li>
 
 Monitor
 
 and maintain data quality to ensure accurate reporting.
 </li>
 <li>
 
 Translate
 
 complex data sets into clear and actionable insights for stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Inter-team Collaboration:
 
 
 <ul>
 <li>
 
 Collaborate
 
 with various teams (Product, Marketing, Sales, etc.) to gather and understand data requirements.
 </li>
 <li>
 
 Provide
 
 data support for strategic planning, product development, and other key initiatives.
 </li>
 <li>
 
 Conduct
 
 regular meetings to discuss data findings and recommend actionable steps.
 </li>
 </ul>
 
 
 
 
 
 Automation Setup:
 
 
 <ul>
 <li>
 
 Develop
 
 and implement automation scripts using Python to streamline data collection, processing, and reporting.
 </li>
 <li>
 
 Maintain
 
 and improve existing data pipelines and automation processes.
 </li>
 <li>
 
 Ensure
 
 scalability and reliability of automation solutions to support the growing data needs of the organization.
 </li>
 </ul>
 
 
 
 
 
 
 You should apply, if you
 
 
 
 
 
 
 <ul>
 <li>
 
 Are a Seasoned Veteran:
 
 Bachelor&rsquo;s degree in Computer Science, Statistics, Economics, or a related field and proven experience (2+ years) as a Product Analyst, Business Analyst, or similar role.
 </li>
 <li>
 
 Know your toys:
 
 Proficiency in SQL and experience with MongoDB as well as strong programming skills in Python.
 </li>
 <li>
 
 Bring that &lsquo;X-tra&rsquo; factor:
 
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 
 Are a real charmer:
 
 Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
 </li>
 <li>
 
 Can fluidly adjust anywhere:
 
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 Hands-on experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
 
 
 
 
 
 
 Being a Part of the Clan!
 
 
 
 
 
 
 At Classplus, you&rsquo;re not an &ldquo;employee&rdquo; but a part of our &ldquo;Clan&rdquo;. So, you can forget about being bound by the clock as long as you&rsquo;re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is
 
 the perfect work vibe you&rsquo;ve been looking for!
 
 
 
 It doesn&rsquo;t matter how long your journey has been or your position in the hierarchy
 
 (we don&rsquo;t do Sirs and Ma&rsquo;ams)
 
 ; you&rsquo;ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the
 
 Doers
 
 ! ❤
 
 
 Are you a go-getter with the chops to nail what you do? Then this is the place for you.
 
 
 
</div>

Product Analyst

Explore 79+ Data scientist in Noida this October. Find roles across top companies and apply now to boost your career.

79 data scientist jobs IN Noida

Data Scientist

Data Scientist

Associate - Data Scientist - GO/JC/1134/2025

IN_Senior Associate_Data Scientist _D&A_Advisory_Noida

Senior Data & Applied Scientist

Domain Architect - Data Science

Product Analyst