At a Glance
- Tasks: Lead high-stakes projects and translate machine learning needs into effective workflows.
- Company: Join Encord, a forward-thinking company in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and cross-functional communication.
- Why this job: Make a real impact by managing innovative data annotation projects across time zones.
- Qualifications: Strong operational skills and experience in data annotation management.
The predicted salary is between 59400 - 72600 £ per year.
Encord is hiring in London for Human Data Program Managers to run high-stakes projects end to end. You will translate machine learning requirements into annotation workflows, set standards, and guide a specialist workforce. This hands-on role demands strong operational delivery, cross-functional communication, and a deep understanding of data annotation at scale. You will manage multiple projects across time zones, ensure throughput and quality targets, and collaborate with Product.
Senior Human Data Program Lead — London employer: Encord
Encord is an exceptional employer for a Learning & Development Specialist, offering a dynamic work environment in London where innovation meets education. With a strong emphasis on employee growth, competitive salaries, and a vibrant in-person culture, team members enjoy 25 days of annual leave, regular company lunches, and opportunities for professional development through an annual learning budget. Join us to make a meaningful impact in the AI sector while collaborating with a diverse and ambitious team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Human Data Program Lead — 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!
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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.
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We think you need these skills to ace Senior Human Data Program Lead — London
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!
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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.
