ICT Expert/ Data Analysis Expert

Delhi, Delhi ₹1500000 - ₹2000000 Y National Institute for Smart Government (NISG)

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ICT Expert /Data Analysis :-

Common functions:

i. To assist the Network Planning Group (NPG) on the matters related to PM Gati Shakti and National Logistics Policy (NLP).

ii. To provide expertise for integration of interconnected multimodal network transport and infrastructure for efficient movement of people, Goods and services.

iii Assist in improving decision making through effective logistics data analytics, standardizations through streamlining of processes

iv. Assessment of project proposals included in the PM Gati Shakti National Master Plan in consultation

with other domain specific SMEs, Officers of TSU, Logistics Division and Line Ministries/Departments.

v. Examination/ evaluation of projects on PM Gati Shakti principles like logistics efficiency, utility to economic clusters, integrated approach to planning, perspective of multimodality and area development approach.

vi. Having knowledge/aware of Government policies, regulations and best practices, principles to the extent relevant to the Subject matter/PM Gati Shakti/National Logistics Policy with a focus on sustainable and inclusive development principles.

vii. Preparation of reports, presentations, and other communication materials to convey landings,

recommendations and implementation strategies and play role in capacity building.

viii. Knowledge for use of project management tools and techniques, as well as digital technologies such

as GlS, Transportation modelling softvvare etc. during evaluation of project proposals.

ix. Economic Nodes are important for critical evaluation of infrastructure projects. Accordingly basic understanding of economic nodes i.e. SEZ, CFS, lCDs, industrial nodes, Export Oriented Districts etc. is desirable.

xi. Any other work related to PM Gatishakti, Network Planning Group, National Logistics Policy in

particular and Logistics Sector in general.

x. To collaborate with government agencies, prlvate sector partners, and international organizations to develop innovative solutions for critical gaps in integrated planning.

  • Expert Assessment of all project proposals included in the PM Gati Shakti NMP in consultation with other domain specific SMEs and Directors in Technical Support Unit (TSU) and Logistics Division as well as with respective Line Ministries from the purview of synchronization of efforts

  • Undertaking interaction with users, Central/ State Government, and other stakeholders to identify gap areas

  • Assessment of LEADS and sectoral reports for identification of gap Coordination for development of lT tools for decision support
  • Assistance in appraisal/identification of telecom connectivity projects
  • To coordinate for maintenance of ICT systems with Logistics Division interaction with BISAG-N for mapping of projects/new projects
  • Development of data analytics for decision support
  • Coordination for development of lT tools for decision support
  • Coordination w.r.t. data collection, updating and storage/ Maintenance
  • Preparation of Monthly analytical reports on TSU functioning Monitoring and tracking of action points identified in EGoS and NPG meetings, lnter-Ministerial Meetings and Meetings with State Governments
  • Generate customized reports as per compliance requirement for Parliament / PMO/Cabinet Secretariat/ Office of C&lM, etc
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Freelancer - Python with Data analysis

Delhi, Delhi ₹400000 - ₹600000 Y Biz Tech Consultants

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We are looking for freelancers experienced in Python with strong expertise in Statistics or Data Analysis.

skills include: Python (Pandas, NumPy, SciPy, Scikit-learn), R, SQL, Statistical Modeling, Hypothesis Testing, Regression, Classification.

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Freelance Statistical Researcher – Demographic & Population Modeling

Delhi, Delhi Sapien+AI

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Freelance Opportunity: Statistician – Demographic & Synthetic Population Modeling (Remote | ₹50,000/month)

Duration: 2-Month Contract (Renewable)

Compensation: ₹0,000/month (net, based on deliverables)

We are seeking a highly qualified freelance statistician to explore and analyze publicly available demographic datasets—including respondent-level microdata where available—and translate them into actionable statistical insights. The ultimate goal is to develop frameworks and schemas for generating synthetic populations of various Indian states.

This project is ideal for a candidate passionate about data exploration, sampling theory, and synthetic data generation for policy, market, or simulation purposes.

Key Responsibilities

- Data Exploration & Cleaning
- Locate, access, and curate publicly available demographic datasets (census, NFHS, WVS, ASER, NSSO, etc.).
- Conduct thorough quality checks and handle missing or inconsistent data.
- Statistical Analysis & Modeling
- Perform distribution analysis, parameter estimation, and relationship mapping between demographic variables.
- Apply sampling techniques to design representative synthetic populations.
- Identify key demographic and behavioral parameters that inform population modeling.
- Schema & Synthetic Population Development
- Build statistical frameworks and schemas to simulate respondent-level data for Indian states.
- Develop replicable workflows and documentation for ongoing data updates.
- Reporting & Communication
- Present findings in clear, visualized formats (tables, charts, dashboards).
- Recommend refinements to improve the representativeness and robustness of the synthetic population models.

Required Qualifications

- Education: Master’s degree or higher in Statistics, Econometrics, Data Science, or Quantitative Social Sciences from a premier institute (ISI, IITs, IISc, Delhi School of Economics, etc.).
- Core Expertise:
- Advanced understanding of sampling theory and experimental design.
- Strong proficiency in statistical programming (R, Python, or Stata).
- Knowledge of Bayesian inference and synthetic data generation techniques is a plus.
- Experience:
- Prior work with large demographic or respondent-level datasets.
- Track record of producing actionable statistical insights.

Key Skills

- Distribution and parameter analysis
- Survey sampling & weighting
- Regression and multivariate modeling
- Data wrangling and cleaning
- Reproducible workflow creation (scripts, notebooks)
- Clear presentation of statistical findings

Compensation & Engagement

- Fixed monthly fee of ₹50,00 NR.
- Flexible, output-oriented schedule.
- Initial engagement for 3 months with potential for extension based on performance.
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Machine Learning

Delhi, Delhi ₹1500000 - ₹2800000 Y SabPaisa

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Role & Mission
As our Machine Learning / LLM Orchestrator, you won't just build code faster—you'll architect the AI frameworks that empower every team member to build and deploy AI‑driven features independently. You will design, fine‑tune and deploy large language models (LLMs), create internal tools that allow product managers and engineers to generate front‑end and back‑end components with minimal friction, and scale adaptive fraud‑risk models for real‑time transactions.

Key Responsibilities

  • Build and fine‑tune local LLM engines; design automated pipelines for code generation, testing, documentation and deployment.
  • Architect microservices and APIs that integrate AI models into our payment gateway, risk‑management systems and new product features.
  • Develop adaptive machine‑learning models for transaction monitoring and fraud‑risk management.
  • Create internal AI toolkits and frameworks enabling non‑engineers to develop UI/UX, backend services and ML workflows aligned with existing architecture.
  • Establish best practices for prompt engineering, model evaluation and agent orchestration; mentor engineers and product teams.
  • Collaborate with leadership to shape our AI strategy and roadmap.

Qualifications

  • 7–8 years of software engineering experience (backend or full‑stack); fintech or payments exposure is a plus.
  • At least 2 years building, fine‑tuning or deploying LLMs or custom ML models.
  • Proficiency with PyTorch or TensorFlow, and familiarity with orchestration frameworks (e.g. LangChain, LlamaIndex).
  • Experience with CI/CD pipelines, Docker/Kubernetes and microservices.
  • Demonstrated ability to deliver production‑ready AI solutions quickly and iteratively.
  • Strong communication skills and a passion for empowering others through technology.

Why Join Us?

  • Shape the future of AI‑native fintech—your work will directly influence how our company harnesses AI at scale.
  • High autonomy and ownership; you'll define our AI frameworks and standards.
  • Fast‑paced, experimentation‑first environment that values innovation and learning.
  • Competitive compensation and flexible remote/hybrid working options.

About Company
SabPaisa (SRS Live Technologies) is an RBI Authorised Payment Aggregator.

Founded in 2016 with headquarters in New Delhi, a corporate office in Kolkata, and regional offices across the country, it is a rapidly advancing fintech company. SabPaisa is dedicated to providing simplified payment solutions, offering customizable options tailored to the client's unique needs.

How Are We Different
SabPaisa's dynamic, PCI-DSS and SSL-certified payment gateway offers secure online checkout with diverse options—Cards, Net-Banking, UPI, Wallets, and offline choices like e-Cash, e-NEFT & Bharat QR, available at nearly 10 Lac Cash Counters nationwide.

Our white-labelled payments and collection suite partners with banks like BOI, BOB, IDFC First, Canara, UBI & Indian Bank, processing over INR 94.9 billion.

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Senior Data Scientist - Machine Learning

110001 Delhi, Delhi ₹130000 Monthly WhatJobs

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full-time
Our client, a leading AI-driven innovation firm, is seeking an accomplished Senior Data Scientist with expertise in Machine Learning to join their fully remote, world-class research and development team. This role is paramount for developing and deploying sophisticated machine learning models that solve complex business problems and drive product innovation. The ideal candidate will possess a strong academic background, extensive practical experience in ML model development, and a passion for leveraging data to create impactful solutions.

Key Responsibilities:
  • Design, develop, and implement advanced machine learning models and algorithms to address challenging business and research problems.
  • Clean, process, and transform large, complex datasets from various sources to prepare them for analysis and model training.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, and insights that can inform model development.
  • Evaluate and optimize the performance of machine learning models using appropriate metrics and validation techniques.
  • Deploy machine learning models into production environments, working closely with engineering and software development teams.
  • Conduct rigorous A/B testing and experiments to validate model effectiveness and impact.
  • Stay current with the latest advancements in machine learning, artificial intelligence, and data science research.
  • Communicate complex technical findings and recommendations effectively to both technical and non-technical stakeholders.
  • Mentor junior data scientists and contribute to the team's technical growth and knowledge sharing.
  • Collaborate with cross-functional teams to define project scope, objectives, and deliverables.
Qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
  • Minimum of 5-7 years of hands-on experience as a Data Scientist or Machine Learning Engineer.
  • Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and their applications.
  • Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy) or R.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
  • Strong data visualization and storytelling skills.
  • Excellent problem-solving, analytical, and critical thinking abilities.
  • Ability to work independently and lead complex projects in a remote setting.
  • Strong communication and collaboration skills.
  • Experience in areas like natural language processing (NLP), computer vision, or reinforcement learning is a plus.
This is a unique opportunity for a Senior Data Scientist to work on impactful, cutting-edge projects within a fully remote structure, contributing to the forefront of AI innovation.
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Data Scientist - Machine Learning Specialist

110001 Delhi, Delhi ₹1200000 Annually WhatJobs

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full-time
Join a progressive organization as a Data Scientist specializing in Machine Learning, located in the vibrant city of Delhi . This is an exciting opportunity to work on challenging projects that leverage advanced statistical and machine learning techniques to derive actionable insights and build predictive models. You will be part of a team that is at the forefront of data-driven decision-making, contributing to innovative solutions across various business units. Your responsibilities will include data exploration, feature engineering, model development, validation, and deployment. You will work with large, complex datasets, employing a range of algorithms from supervised and unsupervised learning to deep learning. Collaboration with business analysts, software engineers, and domain experts is crucial to ensure that your models effectively address business needs and are seamlessly integrated into production systems. We are looking for individuals with a strong analytical mindset, excellent problem-solving skills, and a passion for uncovering patterns in data. Proficiency in programming languages such as Python or R, along with experience in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas), is essential. Familiarity with big data technologies (e.g., Spark, Hadoop) and database management systems (SQL, NoSQL) would be a significant advantage. The role involves a hybrid work model, offering a blend of in-office collaboration and remote flexibility, allowing for a balanced approach to your professional and personal life. If you are eager to make a significant impact with your data science expertise and thrive in a collaborative, research-oriented environment, we invite you to apply.

Responsibilities:
  • Develop, train, and deploy machine learning models for prediction, classification, and clustering.
  • Perform in-depth data analysis, feature selection, and engineering to improve model performance.
  • Design and execute A/B tests and other experiments to evaluate model effectiveness.
  • Collaborate with cross-functional teams to define project requirements and deliver data-driven insights.
  • Communicate complex findings and model results to technical and non-technical stakeholders.
  • Stay current with the latest advancements in machine learning and data science research.
  • Contribute to the development of data pipelines and analytics infrastructure.
  • Ensure the quality, integrity, and reliability of data used for analysis.

Qualifications:
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
  • Proven experience in applying machine learning techniques to real-world problems.
  • Strong programming skills in Python or R, with extensive use of libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of statistical modeling, experimental design, and data mining techniques.
  • Experience with data visualization tools and techniques.
  • Familiarity with SQL and NoSQL databases.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
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Senior Data Scientist - Machine Learning

110001 Delhi, Delhi ₹160000 Annually WhatJobs

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full-time
Our client is seeking a highly skilled and innovative Senior Data Scientist with expertise in Machine Learning to join their fully remote team. You will be instrumental in developing and deploying advanced analytical models that drive business insights and product innovation. This role requires a strong foundation in statistical modeling, machine learning algorithms, and data manipulation, coupled with the ability to translate complex findings into actionable business strategies. You will work with large datasets, collaborate with engineering and product teams, and contribute to cutting-edge data-driven solutions.

Responsibilities:
  • Design, develop, and implement machine learning models to address complex business problems, such as predictive analytics, recommendation systems, anomaly detection, and natural language processing.
  • Extract, clean, and transform large, complex datasets from various sources to prepare them for analysis.
  • Perform exploratory data analysis to identify patterns, trends, and insights.
  • Evaluate and select appropriate algorithms and techniques for specific modeling tasks.
  • Develop and deploy machine learning models into production environments.
  • Monitor model performance in production and implement necessary improvements or retraining.
  • Collaborate with software engineers to integrate ML models into existing products and services.
  • Communicate complex technical findings and recommendations to both technical and non-technical stakeholders through clear visualizations and presentations.
  • Stay current with the latest advancements in machine learning, artificial intelligence, and data science research.
  • Mentor junior data scientists and contribute to the team's knowledge base.
  • Contribute to the development of data infrastructure and best practices.
  • Design and conduct A/B tests to measure the impact of implemented models.
Qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
  • Minimum of 5 years of experience as a Data Scientist, with a strong focus on machine learning applications.
  • Proven experience in developing and deploying machine learning models in production using languages like Python or R.
  • Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, etc.
  • Strong understanding of statistical modeling, probability, and hypothesis testing.
  • Experience with data manipulation and querying tools, including SQL and big data technologies (e.g., Spark, Hadoop).
  • Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
  • Strong analytical and problem-solving abilities.
  • Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
  • Demonstrated ability to work independently and collaboratively in a remote team environment.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This is a unique opportunity to work on challenging problems and make a significant impact through data. Our client offers a highly competitive salary, excellent benefits, and the flexibility of a remote work arrangement.
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About the latest Data science roles Jobs in Delhi !

Lead Data Scientist - Machine Learning

110001 Delhi, Delhi ₹120000 Monthly WhatJobs

Posted 3 days ago

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full-time
Our client is at the forefront of innovation in AI and Emerging Technologies, and they are seeking an exceptional Lead Data Scientist specializing in Machine Learning to spearhead their advanced analytics initiatives. This is a pivotal role requiring a visionary leader with a profound understanding of cutting-edge ML algorithms, statistical modeling, and large-scale data processing. You will lead a team of talented data scientists and engineers, guiding them in the development, deployment, and optimization of sophisticated AI models that drive business intelligence and product development. Responsibilities include defining the technical roadmap for ML projects, conducting in-depth data exploration and feature engineering, implementing and evaluating various machine learning models (e.g., deep learning, natural language processing, computer vision), and ensuring the scalability and robustness of deployed solutions. You will also play a key role in collaborating with product managers, software engineers, and stakeholders to translate complex business problems into data-driven solutions. A strong publication record or contributions to open-source ML projects is a significant plus. This is a fully remote position, offering the flexibility to work from anywhere within India. The ideal candidate holds a Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 7 years of professional experience in data science and machine learning. Proven experience in leading technical teams and managing end-to-end ML project lifecycles is essential. Expertise in programming languages such as Python or R, and proficiency with ML frameworks like TensorFlow, PyTorch, or scikit-learn are required. Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is also critical. If you are a passionate AI expert ready to lead groundbreaking projects, this remote opportunity is for you. Our client offers a highly competitive compensation package and a chance to shape the future of AI.
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Machine Learning Engineer

Delhi, Delhi Gabeo.ai

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Machine Learning Engineer

Delhi, Delhi ₹1500000 - ₹2500000 Y Micro Crispr Pvt. Ltd.

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Job Title: H&E Image Analysis Scientist / Machine Learning Engineer- Spatial Omics (PhD)

Experience: Freshers

Location: Delhi

Job Description:

We are seeking a motivated PhD candidate interested in machine learning for histopathology

image analysis. The candidate will contribute to developing and optimizing deep learning

models to analyze digitized H&E slides for cancer classification and spatial mapping. This

role is well-suited for researchers aiming to apply advanced computational methods to

biomedical challenges.

Responsibilities:

● Design, develop, and train convolutional neural networks (CNNs) and related ML

models on H&E-stained histology images.

● Use and extend tools such as QuPath for cell annotations, segmentation models, and

dataset curation.

● Preprocess, annotate, and manage large image datasets to support model training

and validation.

● Collaborate with cross-disciplinary teams to integrate image-based predictions with

molecular and clinical data.

● Analyze model performance and contribute to improving accuracy, efficiency, and

robustness.

● Document research findings and contribute to publications in peer-reviewed journals.

Qualifications:

● PhD in Computer Science, Biomedical Engineering, Data Science, Computational

Biology, or a related discipline.

● Demonstrated research experience in machine learning, deep learning, or biomedical

image analysis (e.g., publications, thesis projects, or conference presentations).

● Strong programming skills in Python and experience with ML frameworks such as

TensorFlow or PyTorch.

● Familiarity with digital pathology workflows, image preprocessing/augmentation, and

annotation tools.

● Ability to work collaboratively in a multidisciplinary research environment.

Preferred:

● Background in cancer histopathology or biomedical image analysis.

● Knowledge of multimodal data integration, including spatial transcriptomics.

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