Job Description
Data Scientist
Become a part of Sri Lanka’s premier digital leader and influence the trajectory of large-scale AI-powered decision frameworks. We are looking for a gifted and motivated Data Scientist to contribute to our unit. The chosen professional will construct data-centric applications and deliver practical insights utilizing sophisticated analytical instruments and processes. This position assists the firm in meeting its digital transformation objectives and supporting both high-level and operational choices through data collection, modification, and architectural modeling.
The Job:
- Construct analytical products that assist in increasing income, lowering expenditures, and meeting EBITDA milestones.
- Engineer Statistical, Artificial Intelligence, and Machine Learning architectures that are expandable, dependable, and produce quantifiable corporate results.
- Preserve thorough records and manage software versioning.
- Communicate analytical findings and practical intelligence to executive-level partners.
- Collaborate intensely with AI software engineering groups to guarantee productive product implementation.
- Incorporate AI/ML architectures into subsequent platforms and verify their ability to handle increased loads.
- Persistently track, polish, and enhance model efficiency through automated response cycles.
- Investigate nascent tech and sector standards to foster creative growth.
- Stay current with the latest instruments, platforms, and processes within the AI/ML landscape.
- Incorporate ethical AI guidelines, clarity, and interpretability into all phases of AI product creation and implementation.
Entry Requirements
The Person:
- University Degree in Artificial Intelligence, Data Science, Computer Science, Engineering, IT, Statistics, or a matching discipline.
- At least 6 months of background in a comparable professional role.
- Robust comprehension of machine learning procedures and methodologies.
- Competent grasp of the Generative AI and Agentic AI technology landscape.
- Practical expertise utilizing R, Python, or comparable programming languages.
- Direct experience operating within primary cloud environments (such as AWS, GCP, or Azure).
- Proficiency in representing data visually and communicating complex findings.
- Dedicated student of technology with a drive for creative advancement.
Job Data Table
| Category | Details |
| Company Name | Not Specified |
| Location | Colombo, Sri Lanka |
| Locality | Colombo |
| Country | Sri Lanka |
| City | Colombo |
| Region | Western Province |
| Job Type | Full-time (Inferred) |
| Salaries | Not Specified |
| Experience Level | Minimum 6 months |
| Travel | Not Specified |
| Language | Not Specified |
| Benefits | Not Specified |
Skills & Competency Table
| Skill / Competency | Proficiency Level |
| Machine Learning Algorithms | Advanced |
| Python / R Programming | Expert |
| Gen AI / Agentic AI Stack | Intermediate |
| Cloud Computing (AWS/GCP/Azure) | Proficient |
| Statistical & AI Modeling | Advanced |
| Data Visualization | Expert |
| Ethical AI & Transparency | Proficient |
Job Summary
This role involves developing scalable AI/ML models to drive revenue and operational efficiency. The Data Scientist will transform complex data into actionable intelligence, collaborate with app development teams, and ensure ethical AI deployment. It requires a technical degree, cloud experience, and a strong foundation in Generative and Agentic AI technologies.
FAQs
What is the minimum experience required for this role?
The position requires a minimum of 6 months of experience in a similar capacity within the data science field.
What specific programming languages are preferred?
Hands-on experience in Python, R, or equivalent analytical tools is required for this role.
Which cloud platforms will I be working with?
You should have experience with at least one major cloud provider, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Does this role involve Generative AI?
Yes, a good understanding of the Gen AI and Agentic AI technology stack is a key requirement for the position.
What are the primary business goals for this role?
The models you develop are expected to contribute directly to revenue growth, cost reduction, and achieving EBITDA targets.
Expert Analysis
The inclusion of “Agentic AI” and “EBITDA targets” signals a shift from experimental data science to high-impact, autonomous operational AI. The successful candidate must balance technical rigor with business acumen, ensuring that models are not just statistically sound but also interpretable and aligned with corporate financial milestones.
Location & Logistics Guide
The position is based in Colombo, the commercial and technological heart of Sri Lanka. As the city is the primary hub for the country’s digital infrastructure, the role offers proximity to major tech parks and corporate headquarters. Logistics involve standard office-based or hybrid work common in the Colombo tech sector.
https://en.wikipedia.org/wiki/Colombo
Career Path
A Data Scientist can advance to a Senior Data Scientist or Lead AI Engineer. With the specific exposure to Agentic AI and strategic decision-making mentioned here, the individual is well-positioned to transition into AI Architecture, Data Science Management, or Chief Technology Officer (CTO) roles in the future.
Would you like me to help you design a portfolio project that demonstrates the Agentic AI skills required for this position?