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Assoc. Data Scientist III, GenAI Solutions
Reads like a ML Engineer role: putting models into production.
Philippines
Live, first seen by us 16 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAs an Associate Data Scientist III, GenAI Solutions at IHG, you will develop and deliver AI and machine learning solutions that support business decisions and create measurable value.
You will work closely with Data Science, Business Analytics, Data Engineering, and Technology teams.
Build, validate, and deploy AI/ML solutions for defined business problems
Develop NLP and generative AI solutions such as RAG and summarization
Contribute to agentic AI solutions with tool use, routing, and guardrails
Evaluate models using benchmarks, validation methods, and human review
Contribute to deployment and monitoring of models across batch and real-time environments
From the employer’s posting
As an Associate Data Scientist III, GenAI Solutions at IHG, you will develop and deliver AI and machine learning solutions that support business decisions and create measurable value. You will work across predictive modeling, decisioning, NLP, and generative AI, taking defined problems from discovery through production with light oversight.
You will work closely with Data Science, Business Analytics, Data Engineering, and Technology teams. We value strong analytical thinking, technical curiosity, a solution-oriented mindset, and the ability to turn data into practical business outcomes.
Build, validate, and deploy AI/ML solutions for defined business problems
Develop NLP and generative AI solutions, including extraction, classification, summarization, RAG, and prompt-based applications.
Contribute to agentic AI solutions, including tool use, workflow orchestration, routing, guardrails, and output traceability.
Evaluate AI/ML solutions using appropriate benchmarks, validation methods, human review, and production performance measures.
Contribute to the deployment, monitoring, and continuous improvement of models and AI services across batch and real-time environments.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in a quantitative or analytical field (e.g., Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Revenue Management) or an equivalent combination of education and relevant work experience.
- 3–5 years of relevant experience in Analytics, Data Science, GenAI Solutions, or a related field, with experience developing and delivering analytical or AI/ML solutions in a business environment.
- Strong Python and SQL skills for data preparation, analytics, and model development.
- Experience with ML/AI frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or Gemini.
- Experience or working knowledge of LLM and NLP applications, including prompt engineering, embeddings, RAG, structured outputs, and information extraction.
- Understanding of AI/ML evaluation, experimentation, monitoring, and common modeling risks such as data leakage, bias, confounding, and poor validation.
Qualification wording
Bachelor’s or Master’s degree in a quantitative or analytical field (e.g., Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Revenue Management) or an equivalent combination of education and relevant work experience.
3–5 years of relevant experience in Analytics, Data Science, GenAI Solutions, or a related field, with experience developing and delivering analytical or AI/ML solutions in a business environment.
Strong Python and SQL skills for data preparation, analytics, and model development.
Experience with ML/AI frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or Gemini.
Experience or working knowledge of LLM and NLP applications, including prompt engineering, embeddings, RAG, structured outputs, and information extraction.
Understanding of AI/ML evaluation, experimentation, monitoring, and common modeling risks such as data leakage, bias, confounding, and poor validation.
Education & alternatives
Education Bachelor’s or Master’s degree in a quantitative or analytical field (e.g., Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Revenue Management) or an equivalent combination of education and relevant work experience. Experience
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202616 days ago
- Recorded sightings
- 77
- Last seen by us
- Nov 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
IHG Hotels & Resorts is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- GCP
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
Where the posting names them
Technical Skills and Knowledge - Strong Python and SQL skills for data preparation, analytics, and model development. - Working knowledge of machine learning and statistical modeling, including regression, classification, time-series methods, model validation, and performance evaluation.
- Understanding of AI/ML evaluation, experimentation, monitoring, and common modeling risks such as data leakage, bias, confounding, and poor validation. - Experience working with cloud ML environments, preferably GCP/Vertex AI and BigQuery ML, and collaborative development practices such as Git or Bitbucket. - Strong analytical thinking, business curiosity, attention to detail, and ability to communicate technical findings and recommendations clearly.
- Working knowledge of machine learning and statistical modeling, including regression, classification, time-series methods, model validation, and performance evaluation. - Experience with ML/AI frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or Gemini. - Experience or working knowledge of LLM and NLP applications, including prompt engineering, embeddings, RAG, structured outputs, and information extraction.
Your next step
Complete your application on fa-evax-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About the role
As an Associate Data Scientist III, GenAI Solutions at IHG, you will develop and deliver AI and machine learning solutions that support business decisions and create measurable value. You will work across predictive modeling, decisioning, NLP, and generative AI, taking defined problems from discovery through production with light oversight.
You will work closely with Data Science, Business Analytics, Data Engineering, and Technology teams. We value strong analytical thinking, technical curiosity, a solution-oriented mindset, and the ability to turn data into practical business outcomes.
Key Accountabilities
- Build, validate, and deploy AI/ML solutions for defined business problems, with accountability for quality, reproducibility, and fit-for-purpose results.
- Apply AI/ML and statistical techniques across prediction, classification, time series, segmentation, and decisioning.
- Develop NLP and generative AI solutions, including extraction, classification, summarization, RAG, and prompt-based applications.
- Contribute to agentic AI solutions, including tool use, workflow orchestration, routing, guardrails, and output traceability.
- Evaluate AI/ML solutions using appropriate benchmarks, validation methods, human review, and production performance measures.
- Contribute to the deployment, monitoring, and continuous improvement of models and AI services across batch and real-time environments.
- Partner with Data Science, Business Analytics, Data Engineering, and Technology teams to build reusable capabilities and communicate findings, assumptions, and recommendations clearly.
Education
Bachelor’s or Master’s degree in a quantitative or analytical field (e.g., Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Revenue Management) or an equivalent combination of education and relevant work experience.
Experience
3–5 years of relevant experience in Analytics, Data Science, GenAI Solutions, or a related field, with experience developing and delivering analytical or AI/ML solutions in a business environment.
Technical Skills and Knowledge
- Strong Python and SQL skills for data preparation, analytics, and model development.
- Working knowledge of machine learning and statistical modeling, including regression, classification, time-series methods, model validation, and performance evaluation.
- Experience with ML/AI frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or Gemini.
- Experience or working knowledge of LLM and NLP applications, including prompt engineering, embeddings, RAG, structured outputs, and information extraction.
- Working knowledge of agentic AI concepts, including tool calling, workflow orchestration, routing, guardrails, and observability.
- Understanding of AI/ML evaluation, experimentation, monitoring, and common modeling risks such as data leakage, bias, confounding, and poor validation.
- Experience working with cloud ML environments, preferably GCP/Vertex AI and BigQuery ML, and collaborative development practices such as Git or Bitbucket.
- Strong analytical thinking, business curiosity, attention to detail, and ability to communicate technical findings and recommendations clearly.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Philippines
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.