Netomi
via Lever
Senior Data Scientist (Agentic Solutions)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 50d ago
The date the source published, not the day we noticed it (2026-07-27). Last seen at its source just now.
Is it remote?
Remote - India
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,675–2,250/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 39d ago · last seen just now
The listing
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
Responsibilities
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.
Requirements
Strong experience in data science, machine learning, analytics, or applied AI.
Hands-on experience with Python, SQL, data analysis, and model development workflows.
Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
Ability to move from ambiguous problem statements to practical, implemented solutions.
Strong communication skills and comfort working with cross-functional teams.