Senior Data Scientist

Make an impact by working in sectors where technology is the enabler and innovation is the key.

At Celfocus, we make data actionable through Next-Gen Intelligence - where data, AI and human creativity come together.

You’ll work with multidisciplinary teams and partner with leading companies to turn data into decisions, agility and long-term value.

Explore your way in.

The opportunity:

We are looking for a Senior Data Scientist with strong technical expertise to design, develop, and deploy advanced AI and machine-learning solutions, including Generative AI and Agentic AI systems. In this role, you will be responsible for building high-quality models and data-driven solutions, designing intelligent AI agents and multi-agent workflows, contributing to technical architecture decisions, and ensuring reliable production deployments aligned with best MLOps practices. You will work closely with cross-functional teams to translate business problems into scalable and impactful AI solutions.

Your day-to-day:

• Design, develop, and implement advanced AI and machine-learning models for real-world business problems.

• Define modeling strategies, experimentation approaches, and analytical frameworks for complex AI/ML initiatives.

• Design, develop, and deploy Generative AI and Agentic AI solutions, including AI agents, multi-agent systems, RAG architectures, and agentic workflows.

• Build and optimize AI agents with capabilities such as reasoning, planning, tool usage, and interaction with enterprise data and external systems.

• Leverage data and domain knowledge to deliver impactful, data-driven solutions.

• Collaborate with cross-functional stakeholders to clarify problem statements, gather requirements, and translate them into technical solutions.

• Develop optimization models, experimentation frameworks, forecasting algorithms, and capacity-planning models.

• Ensure robust deployment, monitoring, and lifecycle management of ML, Generative AI, and Agentic AI solutions, following industry-standard MLOps practices.

• Lead and mentor Data Science teams, ensuring technical excellence, timely delivery, and alignment with project goals.

• Contribute to code quality, model validation, and architectural best practices.

• Communicate insights, results, and technical decisions to technical and non-technical stakeholders.

What you'll bring:

• Degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.

• 5+ years of professional experience in Data Science

• Strong expertise in Python and experience with PySpark/Spark MLlib.

• Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including AI agents, agentic workflows, and multi-agent architectures.

• Solid understanding of NLP, text analytics, and unstructured data processing.

• Deep knowledge of ML architectures and MLOps-oriented lifecycles (CI/CD for ML, model versioning, monitoring, retraining pipelines).

• Hands-on experience with NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch.

• Proven track record of leading data science projects end-to-end with MLOps best practices.

• Computer Vision experience in image pre-processing and analysis.

• Strong experience with LLMs, LangChain, RAG (Retrieval-Augmented Generation), prompt engineering, tool/function calling, and production deployment of LLM-based applications.

• Experience designing AI agents with capabilities such as reasoning, planning, memory, tool orchestration, and interaction with APIs and enterprise systems.

• Understanding of evaluation, monitoring, guardrails, and observability practices for Generative AI and Agentic AI solutions in production environments.

• Strong leadership skills with the ability to guide, inspire, and grow technical teams.

• Ability to adapt to diverse contexts, teams, and client environments.

• High autonomy combined with a collaborative mindset.

• Motivation for international projects and willingness to travel when needed.

• Excellent communication skills, able to translate complex concepts for both technical and non-technical audiences.

• Proactive, ownership mindset, and committed to delivering high-impact solutions.

Nice to have:

• 2+ years of experience with SQL.

• Experience with Java, Scala, or Spark in production environments.

• Knowledge of distributed/cloud environments: AWS, Azure, GCP, Cloudera.

• Understanding of Data Governance frameworks.

What’s in it for you:

• Hybrid way of working with flexibility and balance
• Opportunity to work on international projects
• Possibility to explore different roles and career paths
• Continuous learning and development opportunities
• A growing AI-driven environment, working with the latest technologies
• A set of benefits and perks to support your day-to-day

A place for everyone

At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities.

If you require any adjustments during the selection process, please inform our Talent Acquisition Team.