At a Glance
- Tasks: Use data science to drive business value and solve real-world challenges.
- Company: Global leader in consulting and technology services with a focus on innovation.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Join a diverse team committed to inclusion and professional growth.
- Why this job: Make a meaningful impact while working with cutting-edge data science tools.
- Qualifications: 5+ years in data science, strong skills in Python or R, and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value.
Collect, clean, and transform structured and unstructured data from multiple internal and external sources.
Develop, test, and deploy predictive models and machine learning algorithms to address business challenges.
Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers.
Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance.
Stay up to date with emerging data science tools, methodologies, and industry best practices.
At least 5 years' experience in client‐facing data science roles with demonstrable impact on business outcomes.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
Strong proficiency in Python or R, including libraries such as pandas, scikit‐learn, Num Py, Tensor Flow, or Py Torch.
Solid understanding of statistical analysis, hypothesis testing, and experimental design.
Hands‐on experience applying a range of supervised and unsupervised machine learning techniques (e. g., Proficiency with SQL and data warehousing technologies.
Strong problem‐solving skills and natural curiosity for exploring and understanding data.
Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
Background in deploying machine learning models into production environments (MLOps experience is advantageous).
Hands‐on experience with big‐data or distributed computing tools such as Spark or Databricks.
Familiarity with visualisation tools such as Power BI, Tableau, or Plotly.
Excellent communication and data‐storytelling capabilities.
High attention to detail and commitment to data accuracy.
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.
We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
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.
You can find more information about NTT DATA UK & Ireland here
We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices.
We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce.
We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities.
In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role.
Join us in building a truly diverse and empowered team.
Marketing Data Scientist employer: NTT
At NTT DATA, we pride ourselves on being an exceptional employer that champions diversity and inclusion while fostering a culture of continuous growth and innovation. As a Databricks Solution Architect, you will have the opportunity to work with cutting-edge technologies in a collaborative environment, driving impactful data solutions for our clients. With a commitment to employee development and a focus on meaningful work, NTT DATA is the ideal place for professionals looking to advance their careers in a dynamic and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NTT!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Marketing Data Scientist at NTT.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Marketing Data Scientist at NTT, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Marketing Data Scientist
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, 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. 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
✨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!
✨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.
