AI role · Open offer

Data Scientist — NETSOL jobs Faisalabad

NETSOL Technologies

Full-time
Mid
Analytics
Hybrid
NETSOL Avenue, Faisalabad 38000, Pakistan · Hybrid
Faisalabad, Pakistan
PKR 280k–450k/mo

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: NETSOL Avenue, Faisalabad 38000, Pakistan · Hybrid
Compensation: PKR 280k–450k/mo
Experience level: Mid
Team: Analytics
Benefits & perks

About this role

What the team is looking for and how this position fits.

NETSOL Technologies is hiring a Mid Data Scientist — NETSOL jobs Faisalabad on the Analytics team (Hybrid · Faisalabad, Pakistan). This is a hands-on role in risk & decision ML—not a generic “AI enthusiast” post.

You will own real-time scoring, monitoring, and governance end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

NETSOL Faisalabad campus hires analytics talent — NETSOL jobs and Systems Limited-adjacent Pakistan IT talent market.

Data Scientist (hybrid Faisalabad): forecasting, risk, and product analytics with production handoff.

Missions

Build forecasting and risk models with clear business KPIs.
Partner with engineering on model deployment.

Stack & environment

Python, SQL, Jupyter, Docker.

What we look for

Analytics/ML projects; Pakistan work auth.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Machine Learning

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
JupyterTool
Regular use of Jupyter in the risk & decision ML stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Forecasting, risk models, or product analytics with production handoff.
Several of these show up in recent shipped work—not only on your CV: Python, SQL, Machine Learning, Docker, and Jupyter.
You have owned real-time scoring, monitoring, and governance in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Faisalabad, Pakistan)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

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What the employer asked for

Forecasting, risk models, or product analytics with production handoff.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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