IoT Data Specialist

Our mission is to empower the business with data-driven insights, enabling smarter decisions through advanced analytics, state-of-the-art machine learning models, and robust statistical methods. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable solutions that drive measurable impact.

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

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.

• Strong data modelling and architecture skills with SQL and NoSQL databases.
• Experience designing and developing end-to-end machine learning applications, maintaining proper lifecycles.
• Knowledge of software development lifecycle and ML-Ops.
• Expertise in data visualisation tools: Power BI, Streamlit, etc.
• 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 understanding of machine learning techniques and their real-world trade-offs.
• Understanding of advanced statistical techniques and their practical applications.
• Excellent communication skills to effectively present insights and recommendations.
• MSc in AI/ML, Data Science, Mathematics, Computer Science, or a related field.
• A collaborative mindset, with the ability to work in a dynamic, fast-paced environment.
• Proficiency in Python, including libraries such as pandas, scikit-learn, TensorFlow, and PyStats.

Our people tell us that YTL UK is a great place to work, which is why so many of them stay with us! You will have a unique opportunity to develop and progress your career within such a diverse group.

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