Senior Consultant (Data Scientist), Value Engineering
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Consultant (Data Scientist), Value Engineering based in India.
This role offers the opportunity to combine advanced analytics, data science, and consulting expertise to demonstrate measurable business impact for clients.
You will transform complex datasets into actionable insights, helping organizations understand performance drivers and optimize outcomes.
Working at the intersection of technology and business strategy, you will build analytics solutions, value measurement frameworks, and executive-ready narratives.
The position requires a strong balance of technical capability, analytical thinking, and communication skills to influence business decisions.
You will collaborate with global, cross-functional teams and leverage modern data platforms and AI-powered tools to create scalable solutions.
This is an ideal opportunity for a data professional passionate about turning insights into meaningful business value and innovation
Accountabilities:
The Senior Consultant will support value engineering initiatives by developing advanced analytics, measuring business outcomes, and translating data into strategic recommendations. This role requires ownership of analytical projects, collaboration with multiple stakeholders, and the ability to communicate complex findings in a clear and impactful way.
- Develop and deliver reports, dashboards, and advanced analytical solutions using data from multiple internal and external sources.
- Analyze large datasets to identify trends, patterns, performance drivers, and opportunities for business improvement.
- Transform analytical findings into clear, compelling insights and recommendations for executive audiences and business leaders.
- Support the creation of executive presentations, value narratives, scorecards, and ROI measurement materials.
- Design and enhance value measurement frameworks to quantify business impact and track outcomes.
- Collaborate with analytics, product, consulting, and operational teams to develop data-driven strategies.
- Build reusable analytics assets, templates, and scalable workflows to improve efficiency and consistency.
- Leverage modern AI and automation tools, including agent-based solutions, to improve data retrieval, analysis, and insight generation.
- Contribute to client-facing analytics initiatives by connecting technical solutions with measurable business value.
Requirements:
The ideal candidate will have a strong background in data science, analytics, and business intelligence, with the ability to combine technical expertise with strategic thinking. This role requires experience working with large datasets, visualization tools, and stakeholder communication.
- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Economics, Engineering, Business, or a related discipline.
- 4+ years of experience in data science, analytics, business intelligence, or a related analytical role.
- Strong SQL skills and experience working with large-scale data environments and cloud-based data platforms.
- Experience developing dashboards and visualizations using tools such as Tableau, Power BI, or similar platforms.
- Advanced proficiency in Microsoft Excel and PowerPoint for analysis, reporting, and executive storytelling.
- Ability to analyze complex datasets and translate findings into actionable business recommendations.
- Strong communication and stakeholder management skills, with the ability to present insights to senior audiences.
- Experience with Python and/or R for analytics, automation, and modeling is preferred.
- Familiarity with AI automation tools, agentic AI solutions, or platforms such as Microsoft Copilot Studio is an advantage.
- Exposure to consulting, value engineering, ROI analysis, business case development, or client-facing analytics is preferred.
- Strong problem-solving skills, attention to detail, curiosity, and a continuous improvement mindset.
Benefits:
- Opportunity to work on high-impact analytics initiatives supporting global clients.
- Exposure to advanced data platforms, AI-driven solutions, and modern analytics technologies.
- Collaborative and innovative work environment with opportunities for professional growth.
- Competitive total rewards package.
- Access to continuing education, training, and development opportunities.
- Hybrid work flexibility based on role requirements.
- Opportunity to contribute to projects that connect technology, analytics, and business transformation.
