Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Educator, Data Scientist

BrainStation
London
4 years ago
Applications closed

Related Jobs

View all jobs

Data Science and AI Engineer (KTP Associate) - REDEPLOYEES ONLY

About the Role

BrainStation is a global leader in digital skills training and development, offering a 12-week bootcamp program in Data Science. BrainStation is currently hiring a Data Science professional to teach our program through online and in-person teaching. BrainStation Educators are given the unique opportunity to teach, research, and further develop their skills, while teaching in a dynamic, project-based setting.

Responsibilities 

Teach our 12-week Data Science Diploma program Help build a world class technical team passionate about designing and teaching Deliver lectures and provide expert technical guidance to students who are building exciting projects using the most cutting-edge technologies Facilitate in-class activities, group discussions, demos and mentor the next wave of emerging talent Co-create BrainStation’s curriculum that will positively impact the lives and careers of hundreds of individuals across our campuses Actively work on writing and researching new content to teach the most up to date design skills to our students Apply BrainStation’s “Agile Education” methodologies to the program to continuously improve the educational experience for students Constantly improve your own skills and apply these skills in collaboration with other BrainStation Educators in order to build the digital platform and tools needed to effectively deliver educational material Define the education experience of the future

Requirements

3-5+ years experience as a Data Scientist or Analytics professional and a Bachelor’s degree relevant to the subject matter OR 8+ years work experience in the vocation Strong command of querying and programming languages (SQL, R and python - numpy, pandas, sklearn, TensorFlow & Keras), and visualization tools (Excel, Tableau, matplotlib/seaborn/plotly in python packages Experience applying various methods of numerical and categorical modelling techniques and supervised and unsupervised machine learning methods (OLS regression and GLMs, logistic regression, KNN, SVM, decision trees/random forest, clustering and cluster analysis, dimensionality reduction, neural networks) Hands-on development experience working with version control systems (we use Git) and Big Data and Cloud platforms (Hadoop, Spark, Amazon Web Services (AWS), Google Cloud (GCP)) a strong asset regression and machine learning principles Practical experience designing and applying data science processes to conduct experiments using a variety of tools and methods, and can speak to their complexities in a simple and logical manner Experience building and leading technical teams Experience in a teaching role, and are comfortable speaking to large groups and mentoring others on the job A strong work ethic with the utmost integrity and desire to excel and succeed An empathetic, inclusive, enthusiastic personality, and is someone who enjoys helping others and facilitating learning A passion for teaching and mentoring others and creating positive learning experiences

Perks and Benefits

Comprehensive Health & Wellness Benefits Package  Retirement Planning Parental Leave Program New Device Allowance Socials, Outings & Retreats Culture of Learning & Development Flexible Working Hours Work from Home Flexibility

About BrainStation

Established in 2012, BrainStation is the global leader in digital skills training and workforce transformation. BrainStation has worked with digital leaders from the most innovative companies in the world, developing cutting-edge, real-world digital education that has empowered more than 100,000+ professionals.

Bonus:

Have you been to a campus or joined an online learning opportunity? We are actively seeking individuals that believe in lifelong learning and that have taken part in our .

NOTE:

Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest.

BrainStation is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.