IoT Data Specialist

We have an exciting opportunity for an experienced Data Specialist with strong expertise in both Data Science and Data Engineering. This is your chance to join a dynamic, growing team and play a key role in shaping its future.

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• Design and implement machine learning algorithms and maintain scalable models in production, following best practices and the full project lifecycle.
  
• Apply AI/ML techniques, statistical methods, and libraries to solve complex business problems.
  
• Perform statistical analysis, including data modelling and hypothesis testing.
  
• Analyse datasets to extract insights and determine the most appropriate techniques.
  
• Build well‑engineered, scalable data pipelines within Azure.
  
• Develop efficient data ingestion scripts using PySpark and Python.
  
• Retrieve and process data from open, closed, and hybrid environments, ensuring data quality through cleansing and verification.
  
• Assist with requirements gathering and collaborate with stakeholders across multiple business domains.
  

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• Proficiency in Python, including libraries such as pandas, scikit‑learn, TensorFlow, and PyStats.
  
• Strong understanding of machine learning techniques and their real‑world trade‑offs.
  
• Experience designing and developing end‑to‑end machine learning applications, maintaining proper lifecycles.
  
• Hands‑on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs.
  
• Familiarity with Parquet and Delta Parquet formats.
  
• Strong data modelling and architecture skills with SQL and NoSQL databases.
  
• Knowledge of software development lifecycle and ML‑Ops.
  
• Understanding of advanced statistical techniques and their practical applications.
  
• Excellent communication skills to effectively present insights and recommendations.
  
• A collaborative mindset, with the ability to work in a dynamic, fast‑paced environment.
  
• MSc in AI/ML, Data Science, Mathematics, Computer Science, or a related field.
  

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• A combined pension contribution of up to 20%.
  
• Career progression and professional development opportunities.
  
• 25 days’ holiday rising to 28 with length of service.
  
• The opportunity to sell up to five days of holiday every year.
  
• The opportunity to buy up to ten days of holiday each year (subject to conditions).
  
• A healthcare package that allows you to claim back healthcare costs.
  
• Life assurance of up to eight times your salary.
  
• The opportunity to lease a new electric car through salary sacrifice (subject to conditions).
  
• Cashback and discounts from more than 3,000 retailers.
  
• One paid volunteering day each year.
  
• Enhanced family leave and pay arrangements.
  
• Access to an interactive health and wellbeing platform.
  
• Support from trained mental health first aiders.
  
• A £1,000 referral fee if you recommend someone who is successfully recruited by us.
  

YTL UK is part of the international YTL Group based in Kuala Lumpur. The UK companies include Wessex Water – one of the top‑performing water and sewerage companies in England and Wales, serving 2.9 million people across the South West; YTL Developments – a major UK developer currently redeveloping a 350‑acre former airfield into an award‑winning, exciting mix of houses, apartments, schools, commercial space, restaurants and hotels, to make a truly sustainable new community; YTL Construction UK – a top 20 UK contractor providing fully integrated services to infrastructure, residential, commercial, industry, energy and environmental sectors; YTL Arena – the development and operation of an entertainment complex that includes a 20,000 capacity arena, conferencing and exhibition space; plus a number of other retail, environmental and specialist businesses.

With that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer. If you require reasonable adjustments to be made during the recruitment process, please inform a member of our Recruitment team.