Data Scientist

Job description

Job Description Summary We are looking for a highly motivated Lead Data Scientist to drive advanced analytics and data-driven innovation for PumpTest and IIoT-based digital platforms within the TPD Business Unit. In this role, you will design and develop scalable analytical models, statistical algorithms, and data science workflows to transform large-scale industrial and telemetry data into actionable business insights. You will work closely with engineering, analytics, product, and business teams to build reliable, high-performance, and future-ready data science solutions supporting predictive analytics, operational optimisation, and long-term AI/ML initiatives. Job Description Purpose of the Role • Design and develop advanced data science and analytics solutions for various IIOT platforms • Enable data-driven decision-making through statistical analysis, predictive models, and scalable analytical algorithms • Transform large-scale industrial and telemetry data into actionable business insights • Support long-term AI/ML and analytics strategy within TPD digital initiatives Key Tasks & Activities • Develop scalable analytical models and performance-critical algorithms using Python • Perform quantitative statistical analysis on large-scale industrial and telemetry datasets • Design and implement data science workflows using Python, Spark, and Databricks • Build predictive analytics and data-driven insights for PumpTest and IIoT solutions • Collaborate with engineering, analytics, and product teams on data-driven use cases • Contribute to architecture decisions for analytics and data science platforms • Ensure reliability, maintainability, and performance of analytical solutions • Support data modeling, transformation, and feature engineering processes • Drive automation, monitoring, and continuous improvement of analytical workflows • Contribute to reusable frameworks and best practices for data science initiatives Accountability • Own development and quality of analytical models and algorithms • Ensure scalability and accuracy of data science solutions • Support business decision-making through reliable insights and predictive analytics • Drive alignment between business needs and data-driven solutions • Contribute to long-term analytics and AI/ML platform strategy Technical / Professional Requirements • Bachelors or Masters degree in Mathematics, Data Science, Statistics, Computer Science, or related field • Strong theoretical knowledge in mathematical statistics and data science • Practical experience in quantitative statistical analysis of large datasets • Strong programming expertise in Python • Experience developing scalable and performance-critical algorithms • Hands-on experience with Python ecosystem tools: Jupiter, pandas, NumPy, SciPy, scikit-learn • Experience with Apache Spark and Databricks is preferred • Understanding of data pipelines, data lakes, and cloud-based analytics platforms • Familiarity with CI/CD and automation practices in analytics workflows • Knowledge of real-time or IIoT data processing is an advantage Personal Competencies • Disciplined and sustainable coding practices • Strong analytical and problem-solving skills • Precise, structured, and detail-oriented working style • Self-motivated with strong learning agility and hands-on mentality • Strong communication and stakeholder collaboration skills • Team-oriented mindset and ability to work cross-functionally • Very good English communication skills (written and spoken) Performance Criteria • Accuracy and reliability of analytical models • Scalability and performance of data science solutions • Timely delivery of analytics initiatives • Quality and maintainability of code and algorithms • Business value generated through insights and predictive analytics • Collaboration effectiveness across teams