Applied Scientist, Human-in-the-Loop AI (Remote) in London

Applied Scientist, Human-in-the-Loop AI (Remote) in London

London Full-Time 50000 - 65000 £ / year (est.) Working from home possible
Prolific

At a Glance

  • Tasks: Design and prototype AI/ML methods to enhance data quality and optimise workflows.
  • Company: Prolific, a mission-driven company at the forefront of AI innovation.
  • Benefits: Competitive salary, remote work, and comprehensive benefits.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a team making real-world impact in AI while working remotely.
  • Qualifications: PhD or MSc in a relevant field with applied ML experience.

The predicted salary is between 50000 - 65000 £ per year.

Prolific is looking for an Applied Scientist to design and prototype AI/ML methods to enhance data quality and optimize AI evaluation workflows. The ideal candidate will have a PhD or MSc in a relevant field and extensive experience in applied ML with notable real-world impact.

Responsibilities include:

  • Prototyping AI methods
  • Designing experiments
  • Partnering with product teams

With a competitive salary and benefits, this role places you at the forefront of AI innovation, fully supporting remote work within a mission-driven culture.

Applied Scientist, Human-in-the-Loop AI (Remote) in London employer: Prolific

Prolific is an exceptional employer that champions innovation and collaboration in the field of AI, offering a fully remote work environment that fosters a mission-driven culture. Employees benefit from competitive salaries, comprehensive benefits, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in technology. Join us to be part of a forward-thinking team dedicated to enhancing data quality and optimising AI workflows.

Prolific

Contact Details:

Prolific Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied Scientist, Human-in-the-Loop AI (Remote) 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 Prolific!

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 Applied Scientist, Human-in-the-Loop AI (Remote) at Prolific.

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 Prolific.

Apply Directly through Our Website

When you find a suitable opening like Applied Scientist, Human-in-the-Loop AI (Remote) at Prolific, 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 Applied Scientist, Human-in-the-Loop AI (Remote) in London

AI/ML Method Design
Prototyping
Data Quality Enhancement
AI Evaluation Workflow Optimisation
Experimental Design
Collaboration with Product Teams
Applied Machine Learning

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 Prolific, 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 Prolific. 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 Prolific

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 Prolific!

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.