Explore exciting data science opportunities in 359 Data Science jobs in Noida
Data Science Trainer/data Science Instructor
Posted today
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Job Description
**Location**: Noida/Surat
**Experience Required**: 5+ years in Data Science or related fields
**Job Type**: Full-Time
**Job Overview**:
**Responsibilities**:
- Design and deliver engaging and effective training programs on Data Science, Machine Learning, AI, Deep Learning, and Data Analytics.
- Prepare and update course materials, presentations, and practical assignments to ensure they align with industry standards.
- Train and mentor students on concepts such as statistical analysis, predictive modeling, data wrangling, and more.
- Evaluate student performance through assessments, assignments, and quizzes, providing constructive feedback.
- Stay updated with the latest trends in Data Science, and incorporate new developments into training content.
- Conduct live sessions, webinars, and workshops for individuals and corporate teams.
- Provide career guidance and advice on data science and machine learning job opportunities.
- Travel to client locations to deliver training sessions as required.
- Collaborate with the curriculum development team to ensure that courses are comprehensive and meet learner needs.
- Assist in building a community of learners by engaging with students outside of formal training sessions.
**Requirements**:
- **Education**: B.Tech/B.E. or M.Tech/M.S. in Computer Science, Data Science, or a related field. Certifications in Data Science or Machine Learning will be an added advantage.
- **Experience**: Minimum 5-7 years of hands-on experience in Data Science and/or Machine Learning, with at least 3 years of teaching/training experience.
- Proficiency in key Data Science tools and technologies including Python, R, SQL, TensorFlow, Keras, Scikit-learn, etc.
- Strong understanding of statistics, machine learning algorithms, data visualization, and big data technologies.
- Excellent verbal and written communication skills.
- Ability to break down complex topics into easily understandable content for learners.
- Prior experience in creating and delivering technical training is a plus.
- Passion for teaching and mentoring students to help them succeed in the data science field.
**Desired Skills**:
- Hands-on experience with cloud platforms (AWS, Google Cloud, Azure).
- Experience with version control tools like Git.
- Knowledge of deep learning and NLP (Natural Language Processing).
- Familiarity with big data technologies (Hadoop, Spark) is a plus.
- Ability to adapt training materials based on different learning styles.
**Benefits**:
- Competitive salary package.
- Opportunity to work with a dynamic and passionate team.
- Professional development opportunities and access to the latest tools and technologies.
- Health insurance and other employee benefits.
Pay: ₹600,000.00 - ₹1,100,000.00 per year
**Benefits**:
- Health insurance
- Leave encashment
Schedule:
- Day shift
**Experience**:
- total work: 5 years (required)
- Training: 3 years (required)
Work Location: In person
Data science intern
Posted today
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Job Description
About the CompanyZe Theta Algorithms Private Limited is a Fin Tech start-up which has been recently set up and is developing innovative AI tools. the RoleAs a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.ResponsibilitiesConduct data cleaning, wrangling, and pre-processing for financial datasets.Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.Use either one – Python, Excel or R to analyse, visualize, and model financial data.Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.Who Should Apply?Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.Strong problem-solving and analytical skills.Able to self-learn and work independently in a remote, flexible environment.Internship DetailsDuration: Option of 1 month, 2 month, 3 month, 4 month or 6 monthsTiming: Self-paced.Type: Unpaid
Data science analyst
Posted today
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Job Description
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 DoAnalyze 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 ForBachelor'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.
Data Science Specialist
Posted 1 day ago
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Job Description
for Full Time & Permanent Remote opportunity!
Vacancy - 5
Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST
Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance
SkillArbitrage is looking for passionate educators to empower aspiring data professionals
What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization
Substantial Experience in IT (Non Teaching Domain)
Ability to simplify complex concepts with clarity
Strong judgment, creativity, and content development skills
Strong proficiency in English communication
Responsibilities :
Develop and deliver engaging curriculum.
Provide constructive feedback and assess student progress.
Collaborate with students and team members effectively.
If you’re excited to inspire and shape the future of data science, send updated CVs to
You can also directly reach me on (WhatsApp only)
Data Science Intern
Posted 2 days ago
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Job Description
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
Conduct data cleaning, wrangling, and pre-processing for financial datasets.
Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
Use either one – Python, Excel or R to analyse, visualize, and model financial data.
Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
Strong problem-solving and analytical skills.
Able to self-learn and work independently in a remote, flexible environment.
Internship Details
Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
Timing: Self-paced.
Type: Unpaid
MLOPS Data Science
Posted 2 days ago
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Job Description
Develop, train, and validate predictive and analytical models using machine learning techniques.
Collaborate with data engineers and business teams to define data requirements and success metrics.
Deploy machine learning models into production using ML Ops best practices.
Build automated pipelines for model training, testing, monitoring, and retraining.
Optimize model performance and ensure scalability and reliability.
Monitor model drift, performance degradation, and ensure continuous improvement.
Implement CI/CD practices for machine learning workflows.
Technical Skills Required:
Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
Good understanding of data engineering concepts (ETL, data pipelines, APIs).
Hands-on with containerization and orchestration (Docker, Kubernetes).
Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
Strong background in statistics, machine learning algorithms, and model evaluation techniques .
Familiarity with version control (Git) and CI/CD pipelines.
Preferred Qualifications:
Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.
Experience in handling large-scale data pipelines and real-time model serving .
Exposure to feature stores and automated model monitoring.
Strong problem-solving, analytical, and communication skills.
Data Science Intern
Posted 4 days ago
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Job Description
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.
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Data Science Analyst
Posted 4 days ago
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Job Description
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.
Data Science Intern
Posted 4 days ago
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Job Description
Accredian is a fast growing edtech company that was started in 2018 by ISB MBAs. The company has so far served 18,000+ professionals working in almost 3000 companies. Accredian arms working professionals with next generation skills like Data Science, Digital Transformation, Business Management, Product management in partnership with top tier institutions like IITs, IIMs, XLRI and provides them a transformative learning experience to help them move up in their careers.
The Role:
We are looking for Data Science Researchers to help us build a great platform where individuals can learn and upskill in Data Science with ease. Your ultimate goal will be to improve our outreach, student experience, and developing content that can be leveraged in regular sessions. Your responsibilities will include:
● Write high-quality articles on next-generation technologies like Data Science, Machine Learning & AI - drive traffic to the website, build/engage an audience, and build brand authority.
● Design, curate and publish the highest quality experiential content for Data Science & AI audiences. This includes creating experiences, text, videos and interactive activities.
● Excellent communication skills to talk business in terms of data science, machine learning, and AI.
● Defining and leading our strategy in making data science easy and accessible to all.
● Develop electronic and web communication to support company publications and information dissemination.
● Research and collect information for books, guides, and webinars full of industry insights.
● Create web content including research reports, blog articles & build content assets that will drive conversions.
● Help develop and execute content planning in line with business objectives and priorities.
● Work with the team to create stories with the data using visualization tools/methods.
● Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
● Be flexible to upgrade your knowledge in a short time frame.
● Have a startup attitude - ‘Getting things done’.
What you’ll need?
Technical skills: High-level understanding of Python and R programming languages.
● Flair for writing & creating exceptional content.
● Ability to clearly articulate & structure ideas in articles, research reports & blogs.
● Ability to create basic models to pull insights from data.
Education & Experience:
● Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
● 0-1 year experience