Data Modelling SME Lead

Job Title: Data Modelling SME Lead

About the role:

Data Modelling Senior SME

The role ensures agile, continuous improvement of curated datasets aligned with the Data Modelling Framework and supports analytics, data science, operational MI, and the broader Digital Business Strategy.

On top of the Data lake we now have enabled the MLOPS environment (PySpark Pro) and Gurobi with direct connections to run the advance analytics and data science queries and algorithms written in python. This enables the data analyst and data science team to incubate insights in an agile way.

The Data Modeller role will chip in and enable the growth trajectory on data science skills and capabilities within the role, the team and the wider Castrol data analyst/science community, data science experience is a plus but basic skills would suffice to start.

Experience & Education:

 Education:

• Degree in an analytical field (preferably IT or engineering)

 Experience: 

• Overall exp of 10 years; 5+ years of relevant experience
• Proven track record in delivering data models and curated datasets for major transformation projects. 
• Broad understanding of multiple data domains and their integration points.
• Strong problem-solving and collaborative skills with a strategic approach.

Skills & Competencies:

    • Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO).    • Proficiency in translating analytical insights from high-dimensional data.    • Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding.    • Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar.    • Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design.    • Strong influencing skills to use expertise and experience to shape value delivery.    • Demonstrated success in multi-functional deployments and performance optimization.

BP Behaviors for Successful Delivery:

• Respect: Build trust through clear relationships 
• Excellence : Apply standard processes and strive for executional completion 
• One Team: Collaborate to improve team efficiency