Founding ML/Data Scientist — Remote Revenue AI in London

Founding ML/Data Scientist — Remote Revenue AI in London

London Full-Time 70000 - 100000 £ / year (est.) Working from home possible
M

At a Glance

  • Tasks: Transform data into actionable insights to boost revenue for vacation rentals.
  • Company: Join MyDataValue, a pioneering company in the revenue AI space.
  • Benefits: Enjoy a competitive salary, equity options, and remote work flexibility.
  • Other info: Collaborate with engineers and grow your career in a remote-first setting.
  • Why this job: Make a real impact by leveraging unique data sources in a dynamic environment.
  • Qualifications: Experience in statistical modeling and causal analysis is essential.

The predicted salary is between 70000 - 100000 £ per year.

MyDataValue is on the lookout for a founding ML/Data Scientist to leverage unique data sources and transform dormant information into actionable insights that drive revenue for vacation rental properties. Your expertise with statistical modeling and causal analysis will directly impact our agent's performance and effectiveness.

This remote-first position, focused on UK-based candidates, requires you to work collaboratively with engineers to deploy models within our tech stack.

A competitive salary package of £70k-£100k plus equity is offered.

Founding ML/Data Scientist — Remote Revenue AI in London employer: MyDataValue

MyDataValue is an exceptional employer that champions innovation and collaboration in a remote-first environment, particularly for UK-based talent. With a competitive salary package and equity options, we prioritise employee growth through continuous learning and the opportunity to make a significant impact on the vacation rental industry. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for those looking to drive meaningful change.

M

Contact Details:

MyDataValue Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding ML/Data Scientist — Remote Revenue AI 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 MyDataValue!

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 Founding ML/Data Scientist — Remote Revenue AI at MyDataValue.

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 MyDataValue.

Apply Directly through Our Website

When you find a suitable opening like Founding ML/Data Scientist — Remote Revenue AI at MyDataValue, 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 Founding ML/Data Scientist — Remote Revenue AI in London

Statistical Modeling
Causal Analysis
Data Transformation
Revenue Optimisation
Collaboration with Engineers
Model Deployment
Actionable Insights

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 MyDataValue, 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 MyDataValue. 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 MyDataValue

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 MyDataValue!

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.