Human Data Solutions Engineer β€” AI Data Ops & POC Lead in London

Human Data Solutions Engineer β€” AI Data Ops & POC Lead in London

London Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Encord

At a Glance

  • Tasks: Lead technical sales processes and manage data operations in AI.
  • Company: Join Encord, a leader in AI technology with a vibrant office culture.
  • Benefits: Enjoy competitive salary, equity, and a supportive work environment.
  • Other info: Great opportunity for growth in a dynamic London office.
  • Why this job: Make an impact in robotics and autonomous driving while working with cutting-edge AI.
  • Qualifications: 1-3 years in AI tech or customer-facing roles; skilled in Python and SQL.

The predicted salary is between 40000 - 50000 Β£ per year.

Encord is looking for a Human Data Operations & Solutions Engineer to manage technical sales processes and data operations. In this role, you'll lead demonstrations, design workflows, and manage proof of concept deliveries. Your focus will include robotics and autonomous driving, ensuring high-quality annotation output.

The ideal candidate has 1-3 years in AI technology or customer-facing roles, is skilled in Python and SQL, and has a passion for AI. Enjoy competitive salary, equity, and a strong office culture in London.

Human Data Solutions Engineer β€” AI Data Ops & POC Lead in London employer: Encord

Encord is an exceptional employer that fosters a dynamic and innovative work environment in the heart of London. With a strong emphasis on employee growth, we offer competitive salaries, equity options, and a collaborative office culture that encourages creativity and teamwork. Join us to be part of a forward-thinking team dedicated to advancing AI technology in robotics and autonomous driving, where your contributions will make a meaningful impact.

Encord

Contact Details:

Encord Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Human Data Solutions Engineer β€” AI Data Ops & POC Lead 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 Encord!

✨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 Human Data Solutions Engineer β€” AI Data Ops & POC Lead at Encord.

✨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 Encord.

✨Apply Directly through Our Website

When you find a suitable opening like Human Data Solutions Engineer β€” AI Data Ops & POC Lead at Encord, 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 Human Data Solutions Engineer β€” AI Data Ops & POC Lead in London

Technical Sales Management
Workflow Design
Proof of Concept Delivery
Robotics Knowledge
Autonomous Driving Expertise
High-Quality Annotation Output
Python Programming

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 Encord, 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 Encord. 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 Encord

✨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 Encord!

✨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.