At a Glance
- Tasks: Design and enable data science workloads on modern platforms, ensuring data is accessible and reliable.
- Company: Join NTT DATA UK's innovative Data & AI Practice, focused on scalable data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on advanced analytics and AI solutions.
- Why this job: Shape the future of data analytics and make a real impact in a collaborative environment.
- Qualifications: 3-6 years in data roles, strong SQL and Python skills, experience with cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
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.
Responsibilities
- Design and enable data science and analytics workloads on modern data platforms to ensure data is accessible, reliable, and production-ready for downstream use.
- Collaborate with data engineers, architects, and platform teams to deliver production-ready data assets and scalable data solutions.
- Work on data modelling decisions (dimensional, Lakehouse, etc.) and data warehousing concepts.
- Build and maintain data pipelines (batch and/or streaming) and ensure integration with cloud data platforms.
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 modelling (dimensional, Lakehouse, etc.), data warehousing concepts, and 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.
Preferred skills and qualifications
- 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).
Key competencies
- 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.
About the role
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.
Data Scientist in City of Westminster employer: NTT DATA
At NTT DATA UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data Scientists to thrive. With a strong focus on employee growth, we offer extensive training opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in the heart of the tech hub, our team is dedicated to delivering impactful data solutions while ensuring a healthy work-life balance and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in City of Westminster
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NTT DATA.
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We think you need these skills to ace Data Scientist in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NTT DATA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT DATA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NTT DATA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NTT DATA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
