Senior/Lead Data Scientist

Company Summary

A leading telecommunications and digital services provider is accelerating its AI and data analytics capabilities to deliver smarter customer experiences, optimise operations, and unlock new business opportunities. The organisation offers the opportunity to lead impactful AI initiatives at scale within a complex, data-driven enterprise.

Role & Responsibilities

Lead AI & Data Science Initiatives: Drive large-scale AI/ML programmes, define strategic roadmaps, and translate business priorities into measurable outcomes, leveraging Generative AI and LLMs where relevant.
Model Development & Deployment: Oversee end-to-end model development, productionisation, integration, monitoring, and continuous improvement, ensuring scalability, explainability, and governance.
Customer Analytics & Personalisation: Analyse customer behavioural data to drive segmentation, propensity modelling, cross-selling, product targeting, and lifecycle marketing optimisation.
Experimentation & Optimisation: Design and execute A/B testing, uplift modelling, and other experimentation methods to improve campaign effectiveness and business performance.
Technical Leadership: Lead, mentor, and develop data scientists while establishing best practices for code quality, reproducibility, documentation, and model lifecycle management.
Stakeholder Management: Partner with senior business stakeholders and external collaborators, translating complex analytical insights into actionable recommendations aligned with business objectives.

Job Requirements

Bachelor's or postgraduate degree in Computer Science, Mathematics, Statistics, or a related discipline, with at least 5 - 8 years of relevant experience.
Strong expertise in machine learning and statistical modelling, including regression, time-series forecasting, supervised learning, segmentation, clustering, experimentation, and causal inference.
Hands-on experience with Generative AI and LLMs, including fine-tuning, evaluation, prompt engineering, red-teaming, and performance monitoring.
Proficiency in Python, SQL, Spark, Hadoop/Hive, and Databricks, with data visualisation experience using tools such as Power BI.
Familiarity with software engineering best practices, version control (GitHub, GitLab, Bitbucket), cloud platforms (AWS, Azure, GCP), and ML lifecycle tools such as MLflow and Airflow.
Proven technical leadership, problem-solving, and stakeholder management skills, with the ability to communicate complex insights clearly to technical and non-technical audiences.
Strong customer-centric mindset and ability to translate data science capabilities into tangible business value.

If you're interested in the above role, click on the apply function now! Alternatively, you can contact Mon Fei at [HIDDEN TEXT] for a confidential discussion. Only shortlisted candidates will be notified.

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No. R1877534