At a Glance
- Tasks: Design and implement machine learning algorithms to drive data-driven insights.
- Company: Join YTL UK, a dynamic and diverse company with exciting growth opportunities.
- Benefits: Enjoy a competitive salary, generous holiday, and a comprehensive healthcare package.
- Why this job: Make a real impact by solving complex business problems with cutting-edge technology.
- Qualifications: Proficiency in Python and Azure, with strong data science and engineering skills.
- Other info: Collaborative environment with excellent career progression and support for mental health.
The predicted salary is between 36000 - 60000 £ per year.
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 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, 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.
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.
Data Scientist (Azure) in Bath employer: YTL UK
Contact Detail:
YTL UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Azure) in Bath
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a thank-you email expressing your enthusiasm for the role. It shows you're keen and keeps you fresh in their minds.
We think you need these skills to ace Data Scientist (Azure) in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Azure, and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this Data Scientist position and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a machine learning model or a data visualisation, we love seeing practical applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at YTL UK
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, especially Azure and Python libraries like pandas and TensorFlow. Brush up on your knowledge of machine learning techniques and be ready to discuss how you've applied them in real-world scenarios.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex business problems during the interview. Practice explaining your thought process when designing machine learning algorithms or building data pipelines. Use examples from your past experiences to illustrate how you’ve approached similar challenges.
✨Showcase Your Communication Skills
Since you'll be working closely with stakeholders, it’s crucial to demonstrate your ability to present insights clearly. Prepare to discuss how you’ve used data visualisation tools like Power BI to convey complex information effectively. Think about how you can make technical details accessible to non-technical audiences.
✨Emphasise Collaboration
Highlight your experience working in dynamic teams and your collaborative mindset. Be ready to share examples of how you’ve gathered requirements from stakeholders and worked across different business domains to deliver actionable solutions. This will show that you’re not just a tech whiz but also a team player.