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