Lead IoT Data Specialist - Exciting Opportunity with a Forward-Thinking Organisation

Our client, a leading and innovative company, is looking for a Lead IoT Data Specialist to join their dynamic IT team. This is an exciting and varied role, where you will lead a team of IoT Data Specialists while collaborating with IoT experts and engaging with business stakeholders. The team operates as an internal 'IoT Lab', delivering IoT data proof-of-value experiments and projects, both on-premise and in the cloud.

Responsibilities:

Lead the evaluation and review of data engineering and data science methods, providing expert advice on tools and standards used across the organisation.
Plan, design, and execute unit tests for models and algorithms, working closely with the QA team to ensure error-free results.
Oversee performance and usability tests, ensuring solutions deliver optimal performance and are user-friendly.
Review technical specifications from suppliers and IT partners, ensuring quality standards are met.
Lead peer reviews within your team, including contractors and third parties, to ensure high-quality solutions.
Collaborate with Technical and Solution Architects to establish and maintain standards, patterns, and designs for projects.
Design, code, test, and document data solutions, adhering to agreed standards and ensuring secure data management.
Develop and mentor team members, conducting regular check-ins and overseeing line management responsibilities.Requirements:

Proven experience in a lead position within a data engineering or data science team, with strong technical expertise.
Excellent collaboration skills, working at a high technical level with colleagues, IT partners, and consultants both on-site and remotely.
Experience with the full data solutions development lifecycle, including designing, developing, deploying, and debugging.
Advanced expertise in Azure Data development, particularly with Synapse, Azure Data Factory, and ADX. A good working knowledge of Databricks, Logic Apps, and the Power Platform is also essential.
Familiarity with various machine learning techniques (e.g., clustering, decision trees, artificial neural networks) and advanced statistical methods (e.g., regression, statistical tests).
Strong coding skills in Python, R, or Scala, alongside experience with SQL and NoSQL databases (e.g., CosmosDB, Cassandra).
Knowledge of testing techniques to verify solutions and identify errors.
Excellent academic qualifications, ideally an MSc in Data Science, AI/ML, Computer Science, Mathematics, or a related field (a BSc or equivalent experience may also be considered).This is an outstanding opportunity for someone who wants to take a leading role in shaping cutting-edge IoT data solutions within a forward-thinking and innovative organisation