Sr. Lead Data Scientist

Interested candidates, kindly mail to enpcareers.hr@ril.com

Summary of Role:

• Lead innovation in the CLEAN ENERGY vertical by defining how data science and analytics create measurable business value across operations and decision-making.
• Oversee the data science team, ensuring alignment with business strategy and delivery of high-impact analytics use cases.
• Partner with business leaders and functional heads to identify key risks, optimization opportunities, and data-driven interventions.
• Design, develop, and deploy advanced analytics, machine learning, and predictive models using structured and unstructured data from subsurface, drilling, operational, and monitoring systems.
• Lead the development and utilization of big data platforms to support CLEAN ENERGY analytics at scale.

Job Accountabilities:

• Track CLEAN ENERGY vertical operational performance against analytical models and monitor KPIs related to production efficiency, safety, environment, and cost.
• Identify, monitor, and quantify operational, safety, and environmental risks using advanced analytics.
• Drive adoption and evangelization of a data science culture across business units through education, communication, and demonstrable use cases.
• Define and manage the data science roadmap, capabilities, and infrastructure in collaboration with digital and IT teams.
• Manage external analytics partners, vendors, and research collaborators.
• Build and develop data science talent through role definition, recruitment, mentoring, and capability development.
• Define the scope, design, and implementation of ML/AI models to support CLEAN ENERGY initiatives such as predictive maintenance, anomaly detection, optimization, and forecasting.
• Lead the formulation and optimization of algorithms supporting CLEAN ENERGY products, services, and stakeholder outcomes.
• Collaborate with digital leaders to ensure secure, reliable, scalable, and cost-effective analytics infrastructure and operations.
• Ensure effective communication with internal teams, leadership, and stakeholders at all levels.

Skills Required:

• High proficiency in programming and scripting languages such as SQL, Python, or similar.
• Strong expertise in probability, statistics, machine learning, experimental design, and optimization techniques.
• Experience working with big data platforms and distributed systems (Hadoop ecosystem).
• Hands-on experience with statistical and modeling tools such as SAS, R, MATLAB, and advanced statistical and visualization platforms.
• Expertise in time-series analysis, anomaly detection, and sensor/operational data analytics relevant to the energy sector.
• Strong understanding of data management, databases (SQL, PL/SQL), and data pipelines.
• Excellent documentation, communication, and presentation skills.

Experience Required:

• Minimum of 15 years of experience in data science, analytics, or advanced modeling roles, preferably at a senior or leadership level.
• Proven track record of leading high-performing data science teams delivering measurable business impact.
• Demonstrated experience in advanced quantitative analysis and statistical modeling applied to complex operational environments.
• Experience leading cross-functional teams in mid-to-large organizations.

Preferred Educational Qualification:

• Master’s/MS in Statistics, Engineering, Computer Science, or an equivalent discipline from a reputed Tier-I institute (desirable).
• Bachelor’s/BS in Statistics, Engineering, or an equivalent discipline from a reputed university or college.

Interested candidates, kindly mail to enpcareers.hr@ril.com