UK Data & AI Growth Leader

UK Data & AI Growth Leader

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the UK Data & AI growth strategy and drive new business opportunities.
  • Company: Join a forward-thinking company focused on innovation in data and AI.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with significant impact on company growth and client success.
  • Why this job: Shape the future of data and AI while working with top-tier clients.
  • Qualifications: Proven leadership experience in data and AI with strong business acumen.

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

Jobtailor is seeking a senior leader to drive the UK Data & AI growth agenda, owning revenue, winning new business and shaping the strategy.

You will work with C-level clients, build a pipeline and scale the practice with tangible commercial ownership.

You'll develop and execute a go-to-market strategy that drives new business and expands existing accounts, acting as a trusted advisor to senior stakeholders and turning client challenges into funded programmes and long-term engagements.

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Contact Details:

Jobtailor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land UK Data & AI Growth Leader

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 Jobtailor!

Show Off Your Projects

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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 Jobtailor.

Apply Directly through Our Website

When you find a suitable opening like UK Data & AI Growth Leader at Jobtailor, 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 UK Data & AI Growth Leader

Communication Skills
Problem-Solving Skills
SQL
Data Engineering
Python
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 Jobtailor, 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 Jobtailor. 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 Jobtailor

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 Jobtailor!

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.