Remote Junior Data Scientist — AI Analytics & Insights

TensorOps Consulting Services Ltd; Pakistan; Remote; PKR 900,000 - 1,300,000; Full time

Job summary

TensorOps Consulting Services Ltd is seeking a Junior Data Scientist to join our fully remote, Pakistan-based team. You will analyze project data, evaluate model performance from a business perspective, and translate technical results into clear recommendations for clients.

You'll work with Python, SQL, and a stack including Pandas, NumPy, Matplotlib/Seaborn and Tableau/Looker, while exploring LLMs, LangChain, MLflow, AWS and GCP to deliver impactful insights for Europe and North America clients.

Qualifications

• Recent graduate or 0–2 years of professional experience in data analysis or BI
• Strong Python data-analysis skills (Pandas, NumPy) and SQL
• Curiosity for ML, LLMs, Generative AI
• Excellent communication and presentation skills for technical and non-technical audiences
• Analytical mindset with problem-solving skills and attention to detail
• Experience with data visualization tools is a plus
• BSc or MS in a quantitative field (Economics, Statistics, CS, Eng, Math)
• Based in Pakistan with overlap with European team hours

Responsibilities

• Analyze performance data from AI models to measure effectiveness and user behavior
• Research and evaluate AI/ML models and summarize business potential
• Translate technical results into clear business value and limitations
• Create reports, dashboards, and presentations for internal and client stakeholders
• Support project discovery by analyzing client data and identifying AI-driven opportunities

Skills

Python for data analysis

SQL querying

Data visualization

Communication skills

Curiosity about ML/LLMs

Education

BSc or MS in Economics, Statistics, CS, Engineering, Mathematics

Tools

Pandas

NumPy

Tableau

Looker

Matplotlib

Seaborn

LangChain

MLflow

AWS

GCP

Job description

TensorOps Consulting Services Ltd is seeking a Junior Data Scientist to join our fully remote, Pakistan-based team. You will analyze project data, evaluate model performance from a business perspective, and translate technical results into clear recommendations for clients.

You'll work with Python, SQL, and a stack including Pandas, NumPy, Matplotlib/Seaborn and Tableau/Looker, while exploring LLMs, LangChain, MLflow, AWS and GCP to deliver impactful insights for Europe and North America clients.