At a Glance
- Tasks: Lead AI transformation deals and drive strategic conversations with C-suite executives.
- Company: Join NTT DATA UK Ltd., a leader in innovative technology solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and measurable outcomes.
- Why this job: Shape the future of AI and make a significant impact on businesses.
- Qualifications: Proven experience in AI sales and strong negotiation skills.
The predicted salary is between 63000 - 77000 £ per year.
NTT DATA UK Ltd. seeks a Senior AI Large Deal Seller to originate, shape and close strategic AI transformation opportunities.
You will lead AI commercial conversations, develop win strategies, and coordinate multi-function pursuit teams to deliver measurable business outcomes.
The role requires deep AI fluency, C-suite engagement, and expertise in value-based and outcome-based pricing models within large-scale engagements.
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Senior AI Transformation Deals Leader employer: NTT DATA UK Ltd.
As a Unix/Linux Engineer with us, you'll thrive in a dynamic work culture that prioritises technical excellence and employee growth. We offer tailored benefits to support your wellbeing, alongside flexible work options and continuous development opportunities, ensuring you can achieve your professional goals while contributing to a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Transformation Deals Leader
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior AI Transformation Deals Leader
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!
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Craft a Tailored Cover Letter:For a full-time role at NTT DATA UK Ltd., 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 UK Ltd.. 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 UK Ltd.
✨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 UK Ltd.!
✨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.
