Data Scientist – Consultant

Innodata Inc.; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Innodata Inc. seeks a Data Scientist for its AI/LLM Delivery Unit to design, develop, and deliver data-driven AI solutions for enterprise clients.

The role blends strong analytical skills with hands-on ML and LLM work, including prompt engineering, model evaluation, and deployment, while engaging with clients to translate business needs into scalable AI approaches.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field.
• Master’s degree or PhD preferred for advanced AI/ML roles.
• 2–6+ years of experience in data science, ML, or AI solutions.
• Experience on AI/LLM or NLP projects is highly preferred.
• Exposure to client-facing or delivery environments is a strong advantage.

Responsibilities

• Design, develop, and deploy machine learning models and data science solutions.
• Work on LLM-based use cases such as prompt engineering, evaluation, fine-tuning, and model optimization.
• Build and optimize pipelines for structured and unstructured data.
• Develop and evaluate applications using LLMs for text generation, classification, summarization, entity extraction.
• Conduct prompt engineering and experimentation to improve model output.
• Support model benchmarking, testing, and performance evaluation.
• Analyze large datasets to extract actionable insights and patterns.
• Perform exploratory data analysis (EDA) and feature engineering.
• Build data visualizations and reports for stakeholders.
• Participate in client-facing technical discussions and presentation; translate requirements into AI/ML solutions.

Skills

Python

ML frameworks

LLMs / NLP

Data analysis

Model evaluation

Data preprocessing

Feature engineering

SQL

Cloud platforms

Git

Education

Bachelor’s degree in Data Science

Bachelor’s degree in Computer Science

Bachelor’s degree in Mathematics

Master’s degree or PhD preferred

Tools

TensorFlow

PyTorch

Hugging Face

OpenAI APIs

Embeddings

RAG frameworks

SQL databases

Git

Job description

We are seeking a highly skilled Data Scientist to join our AI/LLM Delivery Unit, responsible for designing, developing, and delivering data-driven and AI-powered solutions for enterprise clients. This role combines strong analytical expertise, machine learning experience, and hands-on exposure to Large Language Models (LLMs) to support high-impact client engagements.

The ideal candidate will be both technically strong and client-facing, capable of translating business requirements into scalable AI solutions.

Key Responsibilities:

• tDesign, develop, and deploy machine learning models and data science solution
• sWork on LLM-based use cases such as prompt engineering, evaluation, fine-tuning, and model optimizatio
• nBuild and optimize pipelines for structured and unstructured data

2. LLM & Generative AI Solution

• sDevelop and evaluate applications using LLMs (e.g., text generation, classification, summarization, entity extraction
• )Conduct prompt engineering and experimentation to improve model output
• sSupport model benchmarking, testing, and performance evaluation

3. Data Analysis & Insight

• sAnalyze large datasets to extract actionable insights and pattern
• sPerform exploratory data analysis (EDA) and feature engineerin
• gBuild data visualizations and reports for stakeholders

4. Client Engagement / Deliver

• yParticipate in client-facing technical discussions and presentation
• sTranslate business requirements into AI/ML solutions and solution architecture
• sProvide consultative insights based on project learnings and industry trends

5. Collaboration & Delivery Excellence

• Work closely with cross-functional teams (engineering, QA, annotation, delivery leads)
• Ensure quality, scalability, and reliability of AI deliverables

Qualifications

Education

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related fie
• ldMaster’s degree or PhD preferred, especially for advanced AI/ML roles

Experience

• 2–6+ years of experience in data science, machine learning, or AI solutions
• Experience working on AI/LLM or NLP-related projects is highly preferred
• Exposure to client-facing or delivery environments is a strong advantage

Technical Skills

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn
• Experience with ML frameworks (TensorFlow, PyTorch)
• Hands-on experience with LLMs / NLP tools (e.g., Hugging Face, OpenAI APIs, embeddings, RAG frameworks)
• Solid understanding of:Machine learning algorithms
• Data preprocessing and feature engineering
• Model evaluation and performance metrics
• Experience with SQL and large-scale datasets, Cloud platforms (AWS, Azure, or GCP)Version control (Git)