Educator, Data Scientist

BrainStation
London
3 years ago
Applications closed

Related Jobs

View all jobs

G-REQ-00964141- UX/Content writer - Domain experts

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.