Job Description

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries.

At Kovai.co, we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions.

Our Products:

Biztalk360
Turbo360
Document360

“UK headquarters. Indian innovation. Global impact.”

Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception.

We are on track towards $30 million in annual revenue – and we're just getting started.

Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys.

Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose.

Opportunity: Data Scientist

About the Role:

We are looking for a curious and technically sharp Data Scientist to join our growing AI team. You will work at the intersection of data, machine learning, and product — translating complex business problems into scalable AI solutions. From early-stage exploration to production deployment, you will own the full data science lifecycle and help shape the way we use AI across the Kovai.co and ship new AI features.

What You Will Do

Data Analysis & Reporting:

Conduct in-depth exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights from structured and unstructured data
Translate complex findings into clear, well-structured technical reports and presentations tailored to both technical and non-technical stakeholders
Define and track key metrics that measure model performance and business impact

Proof of Concept Development :

Rapidly design and build technically viable PoCs in response to business problem statements, validating feasibility before full-scale development
Collaborate with product, engineering, and domain teams to align PoC scope with real-world constraints and objectives
Document PoC outcomes, assumptions, and recommendations clearly to support go/no-go decisions

AI Solution Development & Deployment :

Build, evaluate, and iterate on machine learning and AI models with production readiness
Work closely with engineering teams to test, package, and deploy scalable AI solutions into production environments
Monitor deployed models for performance degradation, data drift, and unexpected behaviour, and implement improvements as needed

Standards, Frameworks & Best Practices:

Champion and adopt established data science frameworks, coding standards, and reproducible research practices across the team
Contribute to internal knowledge sharing - documenting methodologies, maintaining reusable pipelines, and participating in technical reviews
Stay current with the latest developments in AI/ML research and evaluate their relevance and applicability to the business

What You Bring

Must Have:

Proven experience as a Data Scientist with a track record of delivering end-to-end ML/AI projects
Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
Solid understanding of machine learning fundamentals - model selection, evaluation, validation, and iteration
Experience working with both structured and unstructured data at scale
Strong communication skills - able to present technical work clearly to varied audiences

Nice to Have:

Hands-on experience building Generative AI solutions, including RAG (Retrieval-Augmented Generation) pipelines and LLM-based applications.
Familiarity with LangChain or similar orchestration frameworks for building LLM workflows
Working knowledge of Microsoft Azure cloud services - particularly Azure ML, Azure OpenAI Service, or Azure Data Factory
Experience with vector databases (Pinecone, Chroma, MongoDB Atlas, pgvector) for semantic search and embedding-based retrieval

You Will Thrive Here If You:

Enjoy moving fast between exploration and execution - from messy data to working prototype
Take ownership of your work end-to-end without waiting to be told what to do next
Are energised by ambiguity and see undefined problem spaces as an opportunity, not an obstacle
Care deeply about code quality, documentation, and building things that last

Reporting & Collaboration:

Reports to the Senior Director, Data Science. Works closely with Product, Engineering, and Business stakeholders across the Kovai.co.

Equal Opportunities:

Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.