At a Glance
- Tasks: Join a dynamic team to design and enable data science workloads on modern platforms.
- Company: NTT DATA UK, a global leader in data and AI solutions.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Inclusive culture with various support networks and a commitment to diversity.
- Why this job: Make a real impact by shaping data governance and analytics across enterprises.
- Qualifications: 3-6 years in data roles with strong skills in Snowflake, Databricks, and Python.
The predicted salary is between 50000 - 60000 £ per year.
You will join NTT DATA UK’s Data & AI Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics, and AI solutions. Our focus is on building modern, scalable data platforms that enable advanced analytics and data-driven decision-making across organisations.
This role sits at the intersection of data engineering, analytics, and platform enablement, with a strong emphasis on Snowflake, Databricks, and Microsoft Fabric ecosystems.
What you’ll be doing:
- We are looking for a platform-oriented Data Scientist who is as comfortable working with data pipelines and data models as they are with analysis.
- This is not a pure modelling role. You will focus on designing and enabling data science and analytics workloads on modern data platforms, ensuring that data is accessible, reliable, and production-ready for downstream use.
- You will play a key role in shaping how data is structured, governed, and consumed across enterprise environments.
What experience you’ll bring:
Required skills and qualifications- 3–6 years’ experience in data-focused roles (data science, analytics engineering, or data platform roles)
- Strong hands-on experience with at least one of Snowflake, Databricks and Microsoft Fabric
- Advanced SQL skills and experience working with large-scale, distributed datasets
- Strong Python skills for data processing, transformation, and analysis
- Solid understanding of:
- Data warehousing concepts
- Batch and/or streaming data pipelines
- Experience working in cloud environments
- Experience collaborating with data engineers, architects, and platform teams
- Ability to deliver production-ready data assets, not just exploratory outputs
- Familiarity with Spark and distributed data processing frameworks
- Experience with performance tuning and cost optimisation on cloud data platforms
- Exposure to data governance frameworks and tooling
- Experience supporting BI and analytics tools (Power BI, Tableau, Qlik)
- Basic understanding of machine learning workflows (as a secondary capability, not core focus)
- Platform-first mindset: thinks in terms of systems, scalability, and reuse
- Strong data modelling capability: able to design data structures that support multiple use cases
- Operational focus: builds solutions that are reliable, maintainable, and production-ready
- Collaboration: works effectively across engineering, analytics, and business teams
- Clear communication: able to translate complex data concepts into business-relevant language
- Pragmatic delivery: balances technical quality with real-world constraints
Who we are:
We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation.
What we’ll offer you:
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
Data Scientist employer: NTT DATA
At NTT DATA UK, we pride ourselves on being an exceptional employer that champions a culture of inclusivity, collaboration, and continuous learning. As a Data Scientist in our Data & AI Practice, you will have the opportunity to work with cutting-edge technologies while contributing to meaningful projects that drive data-driven decision-making across organisations. Our commitment to employee growth, flexible work options, and a supportive environment ensures that you can thrive both personally and professionally in a role that truly makes a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at NTT DATA UK on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections that can help us stand out!
✨Tip Number 2
Prepare for technical interviews by brushing up on your SQL and Python skills. We recommend working through some real-world data problems or projects to showcase your hands-on experience. Show them you can handle those data pipelines with ease!
✨Tip Number 3
Don’t forget to highlight your collaboration skills! NTT DATA values teamwork, so be ready to share examples of how you’ve worked with data engineers and other teams in the past. We want to see that you can communicate complex ideas clearly.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team. Let’s get you that interview!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist. Highlight your experience with Snowflake, Databricks, and Microsoft Fabric, and don’t forget to showcase your SQL and Python skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can contribute to our Data & AI Practice. Keep it engaging and relevant to the job description – we love a good story!
Showcase Your Projects:If you've worked on any data projects, make sure to mention them! Whether it's building data pipelines or creating analytics solutions, we want to see your hands-on experience. Include links to your work if possible – it really helps us get a feel for your capabilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at NTT DATA
✨Know Your Data Tools
Make sure you brush up on your knowledge of Snowflake, Databricks, and Microsoft Fabric. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice working with large-scale datasets and think about how you can explain your thought process clearly.
✨Emphasise Collaboration
Since this role involves working closely with data engineers and platform teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you translate complex data concepts into business language.
✨Think Platform-First
Adopt a platform-oriented mindset when discussing your experience. Be ready to talk about how you've designed data structures for scalability and reuse, and how you ensure that data assets are production-ready and reliable for downstream use.
