Data Scientist in Swansea

Data Scientist in Swansea

Swansea Full-Time 28800 - 48000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Train AI chatbots by solving coding problems and evaluating their performance.
  • Company: DataAnnotation is dedicated to creating quality AI solutions.
  • Benefits: Enjoy remote work, flexible hours, and earn $40+ per hour with bonuses.
  • Other info: This role is open to applicants in the US, UK, Canada, Australia, or New Zealand.
  • Why this job: Join a dynamic team and make an impact in AI development while working on exciting projects.
  • Qualifications: Proficient in Python or JavaScript; degree in progress or completed; strong writing skills.

The predicted salary is between 28800 - 48000 £ per year.

Annotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for a proficient Data Scientist to join our team to train our AI chatbots to code. You will work with the chatbots that we are building in order to measure their progress, as well as write and evaluate code.

To apply to this role, you will need to be proficient in either Python and/or JavaScript. However, all of the following programming languages are also relevant: TypeScript, C, C#, C++, HTML/CSS, React, Go, Java, Kotlin, SQL, and Swift in order to solve coding problems (think LeetCode, HackerRank, etc). For each coding problem, you must be able to explain how your solution solves the problem.

Benefits:
  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly, starting at $40+ USD per hour, with bonuses for high-quality and high-volume work
Responsibilities:
  • Come up with diverse problems and solutions for a coding chatbot
  • Write high-quality answers and code snippets
  • Evaluate code quality produced by AI models for correctness and performance
Qualifications:
  • Fluency in English (native or bilingual level)
  • Proficient in either Python and/or JavaScript
  • Excellent writing and grammar skills
  • A bachelor's degree (completed or in progress)
  • Previous experience as a Software Developer, Coder, Software Engineer, or Programmer

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Data Scientist in Swansea employer: DataAnnotation

At DataAnnotation, we pride ourselves on fostering a flexible and innovative work culture that empowers our Data Scientists to thrive. With the freedom to choose your projects and set your own schedule, you can enjoy a rewarding career while contributing to cutting-edge AI technology from the comfort of your home. Our competitive hourly rates, along with bonuses for exceptional work, make this an attractive opportunity for those looking to grow in a dynamic and supportive environment.

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Contact Details:

DataAnnotation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Swansea

Tip Number 1

Familiarise yourself with the specific programming languages mentioned in the job description, especially Python and JavaScript. Practising coding problems on platforms like LeetCode or HackerRank will help you demonstrate your problem-solving skills during interviews.

Tip Number 2

Prepare to explain your coding solutions clearly and concisely. Being able to articulate your thought process and the reasoning behind your code is crucial for this role, so practice explaining your solutions out loud.

Tip Number 3

Showcase any previous experience you have with AI or chatbot development. If you've worked on similar projects, be ready to discuss them in detail, as this will set you apart from other candidates.

Tip Number 4

Network with professionals in the data science and AI fields. Engaging with communities on platforms like LinkedIn can provide insights into the industry and may even lead to referrals for the position at StudySmarter.

We think you need these skills to ace Data Scientist in Swansea

Proficiency in Python
Proficiency in JavaScript
Knowledge of TypeScript
Understanding of C, C#, C++, HTML/CSS
Familiarity with React
Experience with Go, Java, Kotlin, SQL, and Swift
Problem-Solving Skills

Some tips for your application 🫡

Highlight Relevant Skills:Make sure to emphasise your proficiency in Python and/or JavaScript, as well as any other relevant programming languages. Clearly outline your experience with coding problems and your ability to explain solutions.

Showcase Your Experience:Include any previous roles or projects that demonstrate your experience as a Software Developer, Coder, Software Engineer, or Programmer. Use specific examples to illustrate your contributions and achievements.

Craft a Strong Cover Letter:Write a compelling cover letter that explains why you are interested in the Data Scientist position at DataAnnotation. Highlight your passion for AI and coding, and how your skills align with their needs.

Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. Excellent writing and grammar skills are essential for this role, so make sure your application reflects that.

How to prepare for a job interview at DataAnnotation

Showcase Your Coding Skills

Be prepared to demonstrate your proficiency in Python and/or JavaScript during the interview. You might be asked to solve coding problems on the spot, so practice common algorithms and data structures beforehand.

Explain Your Thought Process

When solving coding problems, make sure to articulate your thought process clearly. Interviewers want to understand how you approach problem-solving, so explaining your reasoning can set you apart from other candidates.

Familiarise Yourself with AI Concepts

Since the role involves training AI chatbots, brush up on relevant AI concepts and methodologies. Being able to discuss how you would evaluate and improve AI-generated code will demonstrate your understanding of the field.

Prepare Questions for the Interviewer

Have a few insightful questions ready to ask the interviewer about the company culture, project types, or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.