Senior Enterprise Account Exec, Data & AI (London→Dubai)

Senior Enterprise Account Exec, Data & AI (London→Dubai)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
WinsAbove

At a Glance

  • Tasks: Drive adoption of Databricks’ solutions and engage with key stakeholders.
  • Company: WinsAbove, a forward-thinking company in the Data & AI sector.
  • Benefits: Competitive salary, relocation to Dubai, and opportunities for professional growth.
  • Other info: Exciting opportunity to relocate to Dubai by 2027.
  • Why this job: Join a dynamic team and make a real impact in the Data & AI landscape.
  • Qualifications: Strong background in software business development and excellent communication skills.

The predicted salary is between 60000 - 80000 £ per year.

WinsAbove is seeking an Enterprise Account Executive to join their team in London, with an expected relocation to Dubai in early 2027. Your role involves driving the adoption of Databricks’ solutions, engaging with key stakeholders, and delivering significant value to customers.

The ideal candidate will have a strong background in new business development within the software sector, particularly in consumption-based environments. A passion for Data and AI, coupled with excellent communication skills, is essential for success in this position.

Senior Enterprise Account Exec, Data & AI (London→Dubai) employer: WinsAbove

WinsAbove is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those passionate about Data and AI. With opportunities for professional growth and the unique advantage of relocating to Dubai, employees can expect a rewarding career path while engaging with cutting-edge technology and influential stakeholders in the software sector.

WinsAbove

Contact Details:

WinsAbove Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Enterprise Account Exec, Data & AI (London→Dubai)

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 WinsAbove!

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 Senior Enterprise Account Exec, Data & AI (London→Dubai) at WinsAbove.

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 WinsAbove.

Apply Directly through Our Website

When you find a suitable opening like Senior Enterprise Account Exec, Data & AI (London→Dubai) at WinsAbove, 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 Senior Enterprise Account Exec, Data & AI (London→Dubai)

Problem-Solving Skills
Communication Skills
Python
SQL
Data Engineering
Data Pipeline Development
API Integration

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 WinsAbove, 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 WinsAbove. 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 WinsAbove

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 WinsAbove!

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.