Senior AI Scientist β€” Hybrid Role in Mental Health Tech in London

Senior AI Scientist β€” Hybrid Role in Mental Health Tech in London

London Full-Time 63000 - 77000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Apply ML/NLP to crisis data and evaluate AI tools for mental health.
  • Company: Mental Health Innovations, a leader in tech-driven mental health solutions.
  • Benefits: Strong pension, private health insurance, and clear career progression.
  • Other info: Hybrid role based in West London with rolling interviews.
  • Why this job: Make a meaningful impact on mental health using cutting-edge AI technology.
  • Qualifications: PhD or equivalent, fluent in Python, with deep learning experience.

The predicted salary is between 63000 - 77000 Β£ per year.

Mental Health Innovations is hiring a Senior AI Scientist in a hybrid role based in West London.

You will work with the Data Insights team to apply ML/NLP to anonymised crisis data, evaluating AI tools for safe, ethical impact.

The role offers a clear career path, a strong pension, private health insurance after probation, and rolling interviews.

The ideal candidate holds a Ph D or equivalent, is fluent in Python with deep learning experience, and can translate research into practical,

Senior AI Scientist β€” Hybrid Role in Mental Health Tech in London employer: Mental Health Innovations

Mental Health Innovations provides a supportive work culture with clear career paths and competitive benefits. Employees enjoy a strong pension scheme and private health insurance, fostering a stable environment for professional growth.

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Contact Details:

Mental Health Innovations Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior AI Scientist β€” Hybrid Role in Mental Health Tech 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 Mental Health Innovations!

✨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 AI Scientist β€” Hybrid Role in Mental Health Tech at Mental Health Innovations.

✨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 Mental Health Innovations.

✨Apply Directly through Our Website

When you find a suitable opening like Senior AI Scientist β€” Hybrid Role in Mental Health Tech at Mental Health Innovations, 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 AI Scientist β€” Hybrid Role in Mental Health Tech in London

Machine Learning (ML)
Natural Language Processing (NLP)
Python
Deep Learning
Data Analysis
Ethical AI Evaluation
Research Translation

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 Mental Health Innovations, 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 Mental Health Innovations. 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 Mental Health Innovations

✨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 Mental Health Innovations!

✨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.