Data Science and Engineering Specialist

YTL Construction UK; Bath; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading infrastructure services company in Bath is looking for an experienced Data Specialist. In this role, you will design and implement machine learning algorithms, analyze datasets, and build scalable data pipelines. The ideal candidate should have expertise in Python and Azure technologies, alongside a master's degree in a relevant field. This position offers comprehensive perks including a 20% pension contribution and opportunities for career progression.

Benefits

Combined pension contribution up to 20%

25 days' holiday rising to 28

Healthcare package for healthcare costs

Life assurance of up to eight times your salary

Opportunity to lease an electric car

Cashback and discounts from over 3,000 retailers

One paid volunteering day each year

Qualifications

• 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.
• Excellent communication skills to effectively present insights and recommendations.

Responsibilities

• Design and implement machine learning algorithms and maintain scalable models.
• Analyse datasets to extract insights and determine appropriate techniques.
• Build well-engineered, scalable data pipelines within Azure.

Skills

Python proficiency

Machine learning techniques

Data visualisation tools

Strong analytical skills

Collaborative mindset

Education

MSc in AI/ML, Data Science, Mathematics, Computer Science or a related field

Tools

Azure technologies

Power BI

PySpark

TensorFlow

Job description

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.

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.

What you'll do

• 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.
• Present insights using data visualisation pooling techniques.
• Assist with requirements gathering and collaborate with stakeholders across multiple business domains.

What you'll need

• 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.
• Expertise in data visualisation tools: Power BI, Streamlit, etc.
• 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.

What you'll receive

• 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.

Who we are

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, commercialprinter, restaurants and hotels, to make a truly sustainable new community
• YTL Construction UK – a top 20 Avalere offering integrated services in 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.

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.

We are passionate about diversity and inclusion – 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.