Hire Offshore Python & Data Science Experts
✓ We'll send matched Python / Data Science profiles to your inbox within 24-48 hours.
Capabilities
Python / Data Science Capability Snapshot
What our Python / Data Science candidates can do for you.
Our Python/Data Science team builds end-to-end ML pipelines: data preprocessing with Pandas, model training with Scikit-learn and PyTorch, experiment tracking with MLflow, orchestration with Airflow, and serving with FastAPI. They've deployed recommendation engines, fraud detection systems, and NLP pipelines for companies across fintech, healthcare, and e-commerce.
From exploratory analysis to production ML systems, our data science engineers deliver models that work in the real world — not just in notebooks.
Our Python / Data Science experts are pre-vetted and ready to integrate into your team within days, not months.
All candidates pass rigorous technical assessments and come with a free replacement guarantee.
Get the same expertise at a fraction of the cost compared to local US/UK hiring.
Modules & Specializations
Tools & Integrations
Certifications Our Candidates Hold
Pre-Vetted Talent
Meet the Python / Data Science Bench
Pre-vetted candidates ready for your interview.
Divya R.
Senior · 7 yrs
Machine Learning Engineer with 7 years of experience building production ML systems. Expert in PyTorch, TensorFlow, scikit-learn, and MLOps pipelines. Built recommendation engines, NLP classifiers, and time-series forecasting models for e-commerce and fintech. Deployed models at scale using AWS SageMaker, MLflow, and Kubernetes with TorchServe.
Roles
Python / Data Science Roles We Hire
Select the role that fits your team and we'll send matched profiles within 24 hours.
Request profilesPython / Data Science Developer
- → Custom module and plugin development
- → API development and third-party system integrations
- → Code reviews, refactoring, and performance optimisation
- → Technical documentation and knowledge transfer
Python / Data Science Architect
- → Solution architecture, system design, and technology evaluation
- → Scalability planning, performance modelling, and capacity forecasting
- → Security architecture and compliance framework design
- → Technical mentorship, design reviews, and team upskilling
Python / Data Science QA Engineer
- → Test strategy design and test plan creation
- → Manual testing, exploratory testing, and UAT coordination
- → Automated test suite development and CI/CD integration
- → Performance testing, load testing, and security vulnerability scanning
Python / Data Science Project Manager
- → Project planning, milestone definition, and sprint management
- → Risk identification, mitigation strategies, and issue escalation
- → Cross-timezone stakeholder communication and status reporting
- → Resource planning, capacity management, and budget tracking
Python / Data Science Designer
- → Visual and UI design
- → Brand identity and guidelines
- → Prototyping and wireframing
- → Design system maintenance
Python / Data Science Team Lead
- → Team coordination and mentoring
- → Quality assurance and review
- → Client communication
- → Process improvement
Flexibility
Flexible Engagement Models
Choose the model that fits your workflow. All include managed services.
Dedicated Resource
A full-time Python / Data Science expert works exclusively on your project.
- → 40 hrs/week dedicated
- → Daily standups & reporting
- → Direct Slack/Teams channel
- → Your tools & processes
Team Extension
Build a managed Python / Data Science pod — developers, QA, PM.
- → 2-10 person teams
- → Tech lead included
- → Sprint-aligned delivery
- → Shared KPIs & retros
Project-Based
Defined scope, fixed timeline. We deliver end-to-end.
- → Fixed price or T&M
- → Milestone-based delivery
- → Full PM oversight
- → UAT & handoff included
Transparent Pricing
Python / Data Science Rates
Save 40-70% compared to US/UK rates without compromising quality.
| Seniority | Experience | Monthly Rate (USD) |
|---|---|---|
| Junior | 0-2 yrs | $1,800 - $2,500 |
| Mid-Level | 3-5 yrs | $2,500 - $3,500 |
| Senior | 6-9 yrs | $3,500 - $5,000 |
| Lead / Architect | 10+ yrs | $5,000 - $7,000 |
Rates are indicative and may vary based on specific Python / Data Science modules and certifications required. All rates include managed services, infrastructure, and HR support.
Our Process
Brief → Onboarding in 10 Days
Five steps from your first call to a running Python / Data Science team.
Discovery Call
We learn your tech stack, culture, scope, and Python / Data Science requirements.
Profile Matching
3-5 pre-vetted Python / Data Science profiles with video intros and skill assessments.
Client Interviews
You interview candidates. Technical assessments, culture fit, communication checks.
Selection & Paperwork
NDA, MSA, IP assignment, security setup. We handle all logistics.
Onboarding & Go-Live
Equipment, VPN, tools configured. First standup scheduled. Your Python / Data Science expert is live.
Discovery Call
Day 1We learn your tech stack, culture, scope, and Python / Data Science requirements.
Profile Matching
Day 2-33-5 pre-vetted Python / Data Science profiles with video intros and skill assessments.
Client Interviews
Day 4-5You interview candidates. Technical assessments, culture fit, communication checks.
Selection & Paperwork
Day 6-7NDA, MSA, IP assignment, security setup. We handle all logistics.
Onboarding & Go-Live
Day 8-10Equipment, VPN, tools configured. First standup scheduled. Your Python / Data Science expert is live.
Python / Data Science Hiring FAQ
Every Python / Data Science candidate goes through our rigorous 5-stage vetting process: (1) technical screening with platform-specific assessments tailored to Python / Data Science modules and tools, (2) live coding or hands-on configuration exercises using real-world scenarios, (3) project case study walkthroughs demonstrating problem-solving approach, (4) English communication and cross-cultural collaboration evaluation, and (5) recorded video introduction. Only candidates scoring above 80% across all stages make it to our bench — that's roughly 1 in 12 applicants.
Yes — timezone overlap is standard, not optional. Our engineers routinely work 4-6 hours of daily overlap with US Eastern/Pacific, UK GMT/BST, Canadian, and Australian AEST timezones. This means you get real-time collaboration during your working day for standups, code reviews, pair programming, and stakeholder meetings. Many of our engineers have worked with Western teams for 3+ years and are experienced with asynchronous communication tools like Slack, Loom, and Notion.
Security is built into every layer of our operation. Every engineer signs an individual NDA before accessing any client systems. Full IP ownership transfers to you — your code, your data, no exceptions. Engineers work from our ISO 27001 compliant facility on company-provisioned devices with full-disk encryption, VPN-only connections, and endpoint detection. We support SOC 2 Type II processes, GDPR-compliant data handling, and can implement HIPAA or PCI-DSS controls on request.
We offer a no-questions-asked free replacement within the first 30 days. Beyond that, replacements are provided within 2 weeks at no additional cost. We've built our business on long-term client relationships, not lock-in — which is why 92% of our placements stay beyond 12 months.
Fast. We typically share 3-5 matched Python / Data Science profiles with video introductions within 48 hours of receiving your requirements. After you interview and select, onboarding takes 3-5 business days — including equipment setup, VPN configuration, tool access, and an introductory standup with your team. Most engineers are productive within the first sprint.
We offer three flexible models designed for different needs: (1) Dedicated Engineer — a full-time resource on transparent monthly billing, fully embedded in your team. (2) Engineering Pod — a cross-functional team (typically 3-8 people) with a dedicated tech lead, ideal for product development or large implementations. (3) Project-Based — fixed scope, timeline, and deliverables governed by a Statement of Work. All models include a dedicated account manager, weekly reporting, and the ability to scale up or down with 30 days' notice.
Our all-inclusive monthly rate covers everything you need: competitive salary and full benefits for the engineer, a dedicated workstation with dual monitors in our secure facility, all IT infrastructure including licensed tools and cloud environments, complete HR, payroll, and compliance management, weekly status reports and sprint participation, and a dedicated account manager. There are no hidden fees, no setup charges, and no long-term contracts required.
Yes — we actively prioritise certified professionals and invest in ongoing certification for our bench. You'll see specific certification details (e.g., platform credentials, vendor certifications, and expiry dates) on every candidate profile we share. We also support engineers in pursuing new certifications relevant to your project requirements.
Comparison
Why Offshore with Us?
Compare your hiring options for Python / Data Science talent.
| Factor | US/UK Hire | Freelance |
Offshore1st
Recommended
|
|---|---|---|---|
| Monthly Cost |
$10K-18K
|
$6K-12K
|
$2K-5K
|
| Time to Hire |
4-12 weeks
|
1-4 weeks
|
5-10 days
|
| Vetting |
You do it
|
Reviews only
|
Pre-vetted & video intro
|
| Replacement |
Start over
|
Start over
|
Free in 2 weeks
|
| IP Protection |
Standard
|
Risky
|
Full NDA & assignment
|
| Time Zone |
Same zone
|
Varies
|
US/UK/AUS overlap
|
| Management |
You manage
|
You manage
|
Managed or direct
|
| Scaling |
Slow
|
Unreliable
|
Add resources in days
|
"We evaluated three enterprise IDP platforms before finding Offshore1st. Their AI team didn't just build a document extraction tool — they built a system that actually understands insurance documents. The accuracy numbers are remarkable, and the human-in-the-loop design gives our adjusters confidence in the output."
Robert Patel
SVP of Claims Operations, Insurance Carrier
Hire Offshore Python / Data Science Experts
3-5 pre-vetted profiles with video introductions — delivered in 24-48 hours.
Thank you!
We'll share matched profiles within 24-48 hours. Check your email for next steps.