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Added 2 mins ago
RR
UAS Technican
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iVedha Inc.

Lead Data Scientist

Oakville, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 24, 2027
Experience: 8 - 10 years of experience in a planning, regulatory, research, or analytical environment is typically required to complete the responsibilities of the job.
Posting language: English
Posted: Oct 26, 2026

Original job description

iVeiLead 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.

Role Overview

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

Requirements

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.

Technical Skills

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

Key Responsibilities

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

Benefits

Will be discussed during the screening.

Why Join Us?

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.

About iVedha Inc

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

Apply About employer

More about this job

Responsibilities

Lead analysis of smart meter data, develop analytics and reporting capabilities, and build data products and use cases that support business decisions. Guide and mentor team members, collaborate with stakeholders and other business units, and identify trends and opportunities to improve data processes and quality.

Requirements

A bachelor’s degree in mathematics, economics, computer science, information management, or statistics is required as a stated qualification, with a master’s degree preferred. The role calls for 8–10 years of relevant analytical experience, strong statistical and machine-learning expertise, and experience with databases, reporting tools, and programming or ETL frameworks; electricity-sector experience is preferred.

Skills

Statistical Modeling
Machine Learning
Data Mining
Predictive Modeling
Clustering and Classification
Recommendation and Optimization Algorithms
Data Engineering
SQL
Data Warehousing
Data Quality and Governance
Statistical Analysis
Database Design
Reporting and Data Visualization
Stakeholder Leadership
Mentorship
Energy and Smart Meter Data

Visa sponsorship

Not detected in the job text

Keywords

Smart Meter Data
Meter Data Management Repository
Statistical Modeling
Machine Learning
Data Mining
Predictive Modeling
Clustering
Classification
Recommendation Algorithms
Optimization Algorithms
Data Engineering
SQL
Data Warehousing
Data Quality
Data Governance
Database Design
SQL Server
Oracle
Business Objects
XML
JavaScript
ETL Frameworks
Excel
SPSS
SAS
Microsoft Azure
Databricks
Cloud Computing
Electricity Sector
Energy Efficiency Studies

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