We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.

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Job Details

Role Overview

We are seeking a skilled Data Scientist/ AI Engineer with 4+ years of relevant experience to design, develop, and deploy production-grade AI/ML systems within client environments. This role emphasizes strong Python engineering practices, scalable deployment pipelines, and end-to-end ownership of AI solutions in live enterprise ecosystems.

You will be responsible not only for building models, but for productionizing, optimizing, deploying, monitoring, and maintaining them across internal and client-controlled infrastructures.

Key Responsibilities

Python Engineering & System Development

• Develop robust, scalable AI/ML applications using Python.
• Build modular, production-ready code following strong software engineering practices (testing, linting, packaging, version control).
• Develop and maintain APIs using FastAPI, Flask, or similar frameworks.
• Debug and optimize deployed systems across backend services, APIs, frontend integrations, and cloud dependencies.

AI/ML & GenAI Development

• Lead data discovery, feature engineering, experimentation, and model development.
• Work across classical ML, deep learning, and NLP/LLM-based systems (embeddings, fine-tuning, RAG).
• Design rigorous evaluation strategies including offline metrics, regression testing, failure-mode analysis, and human-in-the-loop validation for GenAI systems.
• Ensure model reproducibility, documentation, versioning, and traceability.

Deployment Pipelines & DevOps

• Build and manage CI/CD pipelines for ML and AI workflows.
• Containerize applications using Docker and deploy via Kubernetes (preferred).
• Implement DevOps, MLOps, and LLMOps best practices.
• Manage release cycles, change controls, and environment configurations.
• Ensure secure API integrations and scalable inference pipelines.

Cloud & Client Environment Deployment

• Deploy AI/ML solutions on Microsoft Azure (Function Apps, scaling, integrations).
• Manage configuration, monitoring, and performance optimization in live environments.
• Support deployments within client-controlled infrastructures.
• Work within client security, access control, and infrastructure constraints.
• Own end-to-end troubleshooting and incident management in production systems.

Technical Requirements

• Strong proficiency in Python and ML/DS libraries (Pandas, scikit-learn, PyTorch/TensorFlow, XGBoost/LightGBM).
• Strong SQL and data wrangling skills; experience with Spark/Databricks is a plus.
• Hands-on experience with API-based deployments and cloud-native architectures.
• Experience with CI/CD tools, containerization, and orchestration frameworks.
• Familiarity with LLM orchestration tools (Langgraph, Langflow, Flowise) is a plus.

Soft Skills

• Strong cross-functional collaboration skills.
• Ability to communicate technical solutions clearly to both technical and non-technical stakeholders.
• High ownership mindset with full lifecycle accountability.

Positioning of This Role

This is a production-focused Python AI engineering role, ideal for someone who:

• Writes clean, scalable Python code
• Understands enterprise deployment pipelines
• Has experience working in client-facing or client-hosted environments
• Can independently own AI systems from development to live operations

Location

Kantar Rewards Statement

At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. 

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us. 

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. 

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. 

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.