Netomi: Senior Data Scientist (Agentic Solutions) — Remote - India

Netomi lists a Senior Data Scientist (Agentic Solutions) opening in Remote - India. The position is listed as full time - remote. The job description covers AI.

Recruitment overview

OrganisationNetomi
Post / roleSenior Data Scientist (Agentic Solutions)
DepartmentProduct Engineering
Employment typeFull Time - Remote
Notification / job IDfd6df307-38b8-4f0d-81e9-392216edcaa2
Job locationRemote - India
Work arrangementRemote
Educational qualificationSee the employer’s role-specific qualification criteria
Experience requiredNo numeric experience requirement extracted; read the employer notice
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Netomi

Netomi develops an agentic-AI platform for enterprise customer experience. Its employer introduction describes no-code tools for creating and managing AI agents across customer interactions. The platform connects automation with the practical workflows used by customer-service organisations. Recruitment material also describes agentic workflows, prompt engineering and API-based automation around that platform. The business is therefore concerned with how AI agents perform tasks within customer journeys, as well as the software used to build and operate them.

The position and its setting

Netomi lists Senior Data Scientist (Agentic Solutions) in Remote - India, under reference fd6df307-38b8-4f0d-81e9-392216edcaa2. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Product Engineering
  • Employment type: Full Time - Remote
  • team: Data Science

Responsibilities and work described

  • Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases
  • Apply data science, machine learning, and generative AI techniques to solve complex business problems
  • Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs
  • Evaluate model performance, solution quality, and business impact using data-driven methods
  • Support: experimentation, proof-of-concepts, and production-ready implementations
  • Communicate insights, recommendations, and technical approaches clearly to stakeholders
  • Stay current with emerging trends in AI agents, LLMs, automation, and applied data science

Essential requirements and candidate background

  • Experience: data science, machine learning, analytics, or applied AI
  • Experience: Python, SQL, data analysis, and model development workflows
  • Familiarity: generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks
  • Experience working on client-facing, delivery-focused, or product-oriented technical initiatives
  • Move from ambiguous problem statements to practical, implemented solutions
  • Communication skills and comfort working with cross-functional teams

Location, schedule and contract conditions

  • Work arrangement: Remote
  • Advertised location: Remote - India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Scientist (Agentic Solutions) vacancy is not an offer for reference fd6df307-38b8-4f0d-81e9-392216edcaa2; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Netomi

Applications follow the official employer page linked below.

Open the official Netomi posting below and match the title and reference fd6df307-38b8-4f0d-81e9-392216edcaa2.

Compare your qualifications and experience with the essential conditions for the Remote - India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • SQL
  • AI/ML
  • LLMs
  • AI
  • data analysis
  • machine learning
  • stakeholder management

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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