Lead Data Scientist

Vedha is looking for a data scientist that will help us discover the information hidden in vast amounts oiVedha is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

iVedha is looking for a Lead Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Lead Data Scientist responsibilities include conducting full lifecycle analysis to include requirements, activities and design for smart meter data use cases.

They will develop analysis and reporting capabilities alongside the Data Analyst. They will also monitor performance and quality control plans to identify improvements.

WorkType: Hybrid | Location: Oakville, ON

Role Requirements

Our team consists of experts from diverse backgrounds, each bringing their unique perspectives and skills.

To succeed in this role, you’ll need:

Education:

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics. Preference will be given to those with a Master Degree.

Experience:

• You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
• Proven working experience as a Data Scientist, Data Analyst, Business Data Analyst, and/or other equivalent experience.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL Server, Oracle etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• 8 - 10 years of experience in a planning, regulatory, research, or analytical environment is typically required to complete the responsibilities of the job. Experience in the electricity sector is preferred.

Nice to have:

• An advanced degree in engineering, computer science or related disciplines
• Extensive knowledge of cloud computing (preferable Microsoft Azure), Databricks and AI/ML model development.

Statistical modelling and machine learning

Data engineering and SQL / data warehousing

Data quality and governance at scale

Stakeholder leadership and communication

Energy / smart meter domain knowledge

The successful candidate will turn data into information, information into insight and insight into business decisions.

• Be an engaging member of the Smart Metering team.
• Support the development of the Smart Meter Data products and use cases.
• Lead and manage internal and external working groups and provide the Smart Metering perspective by participating in various stakeholder engagements that impact the collection and use of all data stored in the MDM/R.
• Provide guidance and mentorship to other members of the team. This may include problem resolution, training, and quality checks on their work.
• Work with SMEs within and outside Smart Metering as necessary to integrate new technology into the MDM/R or data sets resulting from analytics into downstream processes.
• Provide guidance to other business units on Smart Meter data and the MDM/R and applicable use cases.

In a typical day, you will;

• Support, as required, specialized system and market efficiency studies
• Provide support, as required to other business units, agencies, and market participants to fulfill strategic plans.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Will be discussed during the screening.

At iVedha, you'll join a global team shaping the future of AI, cloud, cybersecurity, and data. We foster a culture of innovation, collaboration, and continuous learning - empowering you to work on cutting-edge projects while building skills that matter for tomorrow. With the stability of a trusted global company and the agility of a growth-driven team, iVedha offers you the opportunity to make real impact, grow your career, and help redefine what's possible.

iVedha is a global AI-first digital transformation company with over 25 years of proven excellence, empowering enterprises to modernize, scale, and innovate. Driven by the iVedha Fabric — an AI-native operating system that unifies cloud, data, AI, security, and people — we deliver connected, resilient, and measurable outcomes. Our portfolio spans Agentic AI, generative AI, cloud and platform engineering, cybersecurity, data modernization, application transformation, and talent enablement. At iVedha, you’ll work with forward-thinking teams shaping the future of intelligent enterprises through innovation and collaboration. Join us to create meaningful impact, grow your career, and help redefine what’s possible in the AI-powered world.

f data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our productsdha is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products