Job Description
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
, India
Job Family Group:
Research and Development
Worker Type:
Regular
Posting Start Date:
December 11, 2026
Business Unit:
Finance
Experience Level:
Experienced Professionals
Job Description:
What’s the role
As a Senior Data Scientist in the Loyalty & CRM team, you will play a critical role in designing, automating, and scaling advanced analytics and machine learning solutions that drive customer engagement, retention, and lifetime value. You will work cross-functionally with data engineering, architects, product, and agency teams to deliver high-impact, scalable solutions aligned with business goals. This role demands strong technical expertise, business acumen, and the ability to communicate complex insights in a simple, compelling way.
What you’ll be doing
• Business Workflow Understanding: Understand the end-to-end business workflow and identify opportunities for analytics to add value at every stage.
• Value Creation: Drive measurable business value through innovative data science applications and new capability development.
• Scalability & GTM Strategy: Rapidly scale data science solutions and contribute to go-to-market strategies for analytics products and capabilities
• Model Development & Automation: Build, deploy, and automate machine learning models for CRM and Loyalty use cases such as churn prediction, segmentation, LTV, and personalization.
• Coding Standards & Compliance: Uphold exceptional standards in coding, documentation, and compliance with technical and governance frameworks across all initiatives. Demonstrate the capability to lead by example at an organizational level by developing highly generic, scalable, and compliant solutions that inspire excellence and innovation across teams.
• Data Architecture & Engineering Collaboration: Work closely with data architects and engineers to access diverse data sources, maintain clarity in data architecture, and build robust data pipelines.
• Governance & Playbook Creation: Create reusable playbooks and standardized frameworks to streamline model development, deployment, and scaling across platforms and markets. Implement governance structures that enable Shell to derive high-quality solutions from external agencies while maintaining rigorous standards and consistency.
• GenAI Integration: Leverage Generative AI to solve business problems, enhance personalization, and improve operational efficiency.
• Stakeholder Navigation: Work collaboratively with diverse stakeholders across marketing, product, engineering, and external agencies to steer projects toward successful outcomes. Exhibit strong problem-solving skills and the ability to navigate complex environments while consistently driving initiatives to completion.
• KPI & Roadmap Ownership: Maintain and evolve analytics roadmaps, define KPIs, and ensure alignment with business objectives.
• Communication & Storytelling: Present complex models and insights through compelling narratives, infographics, and visual storytelling tailored to business audiences.
• Value Measurement: Design and implement value measurement frameworks to quantify the impact of data science initiatives.
What you bring
• Minimum of 7 years of hands-on experience as a Data Scientist, preferably in the marketing domain.
• Proficiency in Python, R, and SQL.
• Strong understanding of data pipelines, ETL processes, and data architecture.
• Familiarity with object-oriented programming and general software engineering principles to build scalable and reusable analytical products.
• Experience with GenAI (at least 2POC’s), ML models & automation, MLOps, and version control tools.
• Intermediate knowledge on GenAI tools and frameworks, including foundational concepts of Large Models (LLMs) and prompt engineering.
• Strong understanding of various GenAI applications, with the ability to assess their relevance to specific business problems and select the most appropriate solution accordingly.
• Hands-on experience with Supervised, Un-Supervised and Reinforcement learning models.
• Familiarity with advanced techniques like Bayesian models, ensemble methods, and deep learning (where applicable).
• Understanding on Power BI, or similar tools for dashboarding and campaign performance tracking.
• Experience in PCA, campaign diagnostics, and KPI reporting.
• Excellent storytelling, presentation, and infographic creation skills.
• Strong negotiation and communication abilities to influence stakeholders and align on priorities.
• Ability to navigate ambiguity, manage multiple stakeholders, and drive projects to completion.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
, India
Job Family Group:
Research and Development
Worker Type:
Regular
Posting Start Date:
December 11, 2026
Business Unit:
Finance
Experience Level:
Experienced Professionals
Job Description:
What’s the role
As a Senior Data Scientist in the Loyalty & CRM team, you will play a critical role in designing, automating, and scaling advanced analytics and machine learning solutions that drive customer engagement, retention, and lifetime value. You will work cross-functionally with data engineering, architects, product, and agency teams to deliver high-impact, scalable solutions aligned with business goals. This role demands strong technical expertise, business acumen, and the ability to communicate complex insights in a simple, compelling way.
What you’ll be doing
• Business Workflow Understanding: Understand the end-to-end business workflow and identify opportunities for analytics to add value at every stage.
• Value Creation: Drive measurable business value through innovative data science applications and new capability development.
• Scalability & GTM Strategy: Rapidly scale data science solutions and contribute to go-to-market strategies for analytics products and capabilities
• Model Development & Automation: Build, deploy, and automate machine learning models for CRM and Loyalty use cases such as churn prediction, segmentation, LTV, and personalization.
• Coding Standards & Compliance: Uphold exceptional standards in coding, documentation, and compliance with technical and governance frameworks across all initiatives. Demonstrate the capability to lead by example at an organizational level by developing highly generic, scalable, and compliant solutions that inspire excellence and innovation across teams.
• Data Architecture & Engineering Collaboration: Work closely with data architects and engineers to access diverse data sources, maintain clarity in data architecture, and build robust data pipelines.
• Governance & Playbook Creation: Create reusable playbooks and standardized frameworks to streamline model development, deployment, and scaling across platforms and markets. Implement governance structures that enable Shell to derive high-quality solutions from external agencies while maintaining rigorous standards and consistency.
• GenAI Integration: Leverage Generative AI to solve business problems, enhance personalization, and improve operational efficiency.
• Stakeholder Navigation: Work collaboratively with diverse stakeholders across marketing, product, engineering, and external agencies to steer projects toward successful outcomes. Exhibit strong problem-solving skills and the ability to navigate complex environments while consistently driving initiatives to completion.
• KPI & Roadmap Ownership: Maintain and evolve analytics roadmaps, define KPIs, and ensure alignment with business objectives.
• Communication & Storytelling: Present complex models and insights through compelling narratives, infographics, and visual storytelling tailored to business audiences.
• Value Measurement: Design and implement value measurement frameworks to quantify the impact of data science initiatives.
What you bring
• Minimum of 7 years of hands-on experience as a Data Scientist, preferably in the marketing domain.
• Proficiency in Python, R, and SQL.
• Strong understanding of data pipelines, ETL processes, and data architecture.
• Familiarity with object-oriented programming and general software engineering principles to build scalable and reusable analytical products.
• Experience with GenAI (at least 2POC’s), ML models & automation, MLOps, and version control tools.
• Intermediate knowledge on GenAI tools and frameworks, including foundational concepts of Large Models (LLMs) and prompt engineering.
• Strong understanding of various GenAI applications, with the ability to assess their relevance to specific business problems and select the most appropriate solution accordingly.
• Hands-on experience with Supervised, Un-Supervised and Reinforcement learning models.
• Familiarity with advanced techniques like Bayesian models, ensemble methods, and deep learning (where applicable).
• Understanding on Power BI, or similar tools for dashboarding and campaign performance tracking.
• Experience in PCA, campaign diagnostics, and KPI reporting.
• Excellent storytelling, presentation, and infographic creation skills.
• Strong negotiation and communication abilities to influence stakeholders and align on priorities.
• Ability to navigate ambiguity, manage multiple stakeholders, and drive projects to completion.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Scientist in RMZ-ECO WORLD position is now open for candidates interested in the Education Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Education Jobs is a plus.
