AI & Data Science Strategy Lead in London

AI & Data Science Strategy Lead in London

London Full-Time 81000 - 99000 £ / year (est.) On-site
RELX (ElsevierJobs)

At a Glance

  • Tasks: Lead AI and data science strategy, guiding teams through the full project lifecycle.
  • Company: Join RELX, a leader in innovative data solutions.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovation and measurable outcomes.
  • Why this job: Make a significant impact by delivering advanced AI systems at scale.
  • Qualifications: Proven experience in data science and leadership skills.

The predicted salary is between 81000 - 99000 £ per year.

RELX (Elsevier Jobs) is seeking a Data Science Leader to define and lead AI and data science strategy across ML, NLP, search, and generative AI.

You will guide teams through the full lifecycle, aligning work to product goals and customer needs, while influencing senior stakeholders.

You will lead high-performing teams, foster scientific rigor, and drive measurable outcomes across the organization, delivering advanced AI systems at scale.

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AI & Data Science Strategy Lead in London employer: RELX (ElsevierJobs)

RELX (ElsevierJobs) is an attractive employer due to its focus on cutting-edge AI technologies that advance scientific research. The company promotes a collaborative work culture where employees can lead impactful projects and contribute to meaningful innovations. With a commitment to professional development, RELX (ElsevierJobs) provides opportunities for growth and advancement in the rapidly evolving field of data science.

RELX (ElsevierJobs)

Contact Details:

RELX (ElsevierJobs) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI & Data Science Strategy Lead in London

✨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 RELX (ElsevierJobs)!

✨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 AI & Data Science Strategy Lead at RELX (ElsevierJobs).

✨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 RELX (ElsevierJobs).

✨Apply Directly through Our Website

When you find a suitable opening like AI & Data Science Strategy Lead at RELX (ElsevierJobs), 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 AI & Data Science Strategy Lead in London

AI Strategy Development
Data Science Leadership
Machine Learning (ML)
Natural Language Processing (NLP)
Generative AI
Stakeholder Management
Team Leadership

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 RELX (ElsevierJobs), 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 RELX (ElsevierJobs). 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 RELX (ElsevierJobs)

✨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 RELX (ElsevierJobs)!

✨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.