Senior Data Scientist

We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.

Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.

Requirements

What You'll Do

Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities

Translate business requirements into scalable data science and machine learning solutions

Validate data availability and define analytical approaches for new use cases

Build predictive models, machine learning solutions, and GenAI applications

Design robust data pipelines and analytical workflows

Apply data processing, feature engineering, and statistical modelling techniques

Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices

Present analytical findings and recommendations to technical and executive stakeholders

Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way

Mentor junior team members and support technical delivery across multiple initiatives

You're Our Match If You Have

Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field

5+ years of hands-on experience delivering data science or machine learning solutions

Strong Python programming skills and experience with modern data science libraries

Experience building predictive models, machine learning solutions, and GenAI applications

Strong understanding of statistics, data modelling, and feature engineering

Experience designing scalable data pipelines and production-ready AI solutions

Familiarity with MLOps, model deployment, and machine learning lifecycle management

Excellent stakeholder management and communication skills

Ability to translate complex technical concepts into business value

Bonus Points If You Have Experience With

Telecommunications or other customer-centric industries

Large-scale customer analytics and segmentation

Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)

Cloud platforms such as Azure, AWS, or Google Cloud

Databricks, Spark, or distributed data processing

Docker, Kubernetes, or CI/CD pipelines

Leading or mentoring technical teams