Data Scientist

Ambition Group Singapore Pte. Ltd. (SG); Santo Niño 1st; On-site; PHP 800,000 - 1,300,000; Full time

Job summary

Ambition Group Singapore Pte. Ltd. (SG) is seeking an early-career Data Scientist / AI Scientist to join its Data & AI team and tackle advanced ML, NLP and Generative AI initiatives.

You will work on complex business and knowledge-based problems, applying state-of-the-art techniques and building scalable, reproducible data science solutions for internal stakeholders.

Qualifications

• PhD strongly preferred in a relevant quantitative or technical discipline.
• At least 2 years of experience in Data Science, AI/ML, or equivalent research experience.
• Strong Python/R and SQL skills.
• Solid understanding of ML, statistics and data modelling.
• Experience with scikit-learn, pandas, PyTorch/TensorFlow or similar.
• Knowledge of NLP, LLMs, RAG, embeddings and information retrieval is highly desirable.
• Strong academic track record and genuine interest in emerging AI technologies.
• Excellent analytical and communication skills.
• Legal or professional services experience is a plus, but not essential.

Responsibilities

• Develop and deploy machine learning, NLP and statistical models.
• Work with LLMs, RAG, embeddings and information retrieval technologies.
• Fine-tune and apply models such as BERT, Llama and Qwen to real-world use cases.
• Build AI workflows using prompt engineering, prompt chaining and NLP pipelines.
• Analyse large datasets to identify patterns, insights and anomalies.
• Develop visualisations and analytical solutions for non-technical stakeholders.
• Build scalable, well-documented and reproducible data science solutions.
• Stay current with developments in Generative AI, Deep Learning, NLP and Machine Learning.

Skills

Python

R

SQL

NLP

LLMs

Embeddings

PyTorch

TensorFlow

Machine Learning

Statistical Modeling

Data Visualization

Education

PhD strongly preferred in a relevant quantitative or technical discipline

Tools

scikit-learn

pandas

PyTorch

TensorFlow

Job description

About the Role

A leading professional services organisation is looking for a high-calibre, early-career Data Scientist / AI Scientist to join its growing Data & AI team.

This role is ideal for a highly analytical and intellectually curious candidate, preferably with a PhD or strong academic background in Data Science, Computer Science, AI/ML, Statistics, Mathematics, Computational Linguistics or a related field.

You will work on advanced Machine Learning, NLP, Generative AI and LLM initiatives, applying cutting-edge techniques to complex business and knowledge-based problems.

Key Responsibilities:

• Develop and deploy machine learning, NLP and statistical models.


• Work with LLMs, RAG, embeddings and information retrieval technologies.


• Fine-tune and apply models such as BERT, Llama and Qwen to real-world use cases.


• Build AI workflows using prompt engineering, prompt chaining and NLP pipelines.


• Analyse large datasets to identify patterns, insights and anomalies.


• Develop visualisations and analytical solutions for non-technical stakeholders.


• Build scalable, well-documented and reproducible data science solutions.


• Stay current with developments in Generative AI, Deep Learning, NLP and Machine Learning.

What We're Looking For :

• PhD strongly preferred in a relevant quantitative or technical discipline.


• At least 2 years of experience in Data Science, AI/ML, or equivalent research experience.


• Strong Python/R and SQL skills.


• Solid understanding of Machine Learning, statistics and data modelling.


• Experience with scikit-learn, pandas, PyTorch/TensorFlow or similar.


• Knowledge of NLP, LLMs, RAG, embeddings and information retrieval is highly desirable.


• Strong academic track record and genuine interest in emerging AI technologies.


• Excellent analytical and communication skills.


• Legal or professional services experience is a plus, but not essential.

Ideal profile:

An exceptional early-career Data Scientist, PhD graduate or AI/ML researcher who is technically strong, curious and keen to apply cutting-edge AI to real-world problems.