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- Tasks: Label and annotate data, analyse content, and collaborate with teams to improve processes.
- Company: Join a Newcastle startup focused on equitable credit access, backed by top investors.
- Benefits: Gain valuable experience in FinTech, with potential for remote work and flexible hours.
- Why this job: Be part of a mission-driven team reshaping the credit landscape while developing your data skills.
- Qualifications: Strong written communication, attention to detail, and analytical thinking required.
- Other info: Ideal for local talent eager to kickstart a career in Data Science or FinTech.
About Us: We are a Newcastle upon Tyne startup, backed by Bethnal Green Ventures and Oxford Capital, with an all-female founding team dedicated to inclusivity. We’re on a mission to make access to credit equitable and save billions in interest expenses unfairly paid by families in the UK. Apply now for the Data Labelling Analyst (HITL) role to be part of this impactful journey. If you are committed and ready to contribute to reshaping the credit landscape, we’d love to hear from you!
Who is this role great for:
- An individual with a keen interest in data, who is interested in progressing into Data Science roles.
- A graduate who wants to get their foot in the door in a Financial Technology start-up and gain useful career experience.
- An individual who is interested in a career change into Financial Technology and Data roles.
Your role: You will be responsible for a number of tasks to drive the business forward, including:
- Accurately labelling and annotating data according to detailed guidelines;
- Analysing written content to make judgement calls based on tone, context, or meaning;
- Providing feedback on edge cases or unclear scenarios to improve model training;
- Collaborating with the product and data teams to refine labelling processes.
Requirements: To really excel in this role, you will:
- Excellent written communication skills;
- Strong attention to detail and comfort working with nuanced or subjective information;
- Analytical thinking - able to make consistent decisions with limited information;
- Comfortable working independently, with a strong sense of focus;
- Based in or near Newcastle upon Tyne - we’re keen to support local talent!
How we work: We have an office based in Newcastle upon Tyne where the founding team work daily.
Data Labelling Analyst (3-month contract) employer: Noggin HQ
Contact Detail:
Noggin HQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labelling Analyst (3-month contract)
✨Tip Number 1
Familiarise yourself with data labelling tools and techniques. Understanding the basics of how data is labelled and annotated will give you a significant edge during the interview process.
✨Tip Number 2
Showcase your analytical thinking skills by preparing examples of how you've made decisions based on limited information in past experiences. This will demonstrate your ability to handle the nuanced tasks required in this role.
✨Tip Number 3
Research the financial technology sector, particularly focusing on credit access and equity. Being knowledgeable about current trends and challenges in the industry will help you stand out as a candidate who is genuinely interested in the mission of the company.
✨Tip Number 4
Network with professionals in the fintech space, especially those involved in data roles. Engaging with others in the field can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Labelling Analyst (3-month contract)
Some tips for your application 🫡
Understand the Company Mission: Familiarise yourself with the startup's mission to make access to credit equitable. Reflect this understanding in your application to show your alignment with their values.
Highlight Relevant Skills: Emphasise your excellent written communication skills and attention to detail in your CV and cover letter. Provide examples of how you've demonstrated these skills in previous roles or projects.
Show Your Interest in Data: Express your keen interest in data and how it relates to your career aspirations in Data Science or Financial Technology. Mention any relevant coursework, projects, or experiences that showcase your analytical thinking.
Tailor Your Application: Customise your CV and cover letter for the Data Labelling Analyst role. Use keywords from the job description and explain how your background makes you a great fit for the tasks outlined, such as labelling data and providing feedback.
How to prepare for a job interview at Noggin HQ
✨Show Your Passion for Data
Make sure to express your keen interest in data during the interview. Share any relevant experiences or projects that demonstrate your analytical skills and how they relate to the role of a Data Labelling Analyst.
✨Highlight Attention to Detail
Since this role requires strong attention to detail, prepare examples from your past work or studies where you successfully managed nuanced information. This will show that you can handle the responsibilities of accurately labelling and annotating data.
✨Demonstrate Communication Skills
Excellent written communication is key for this position. Be ready to discuss how you've effectively communicated complex ideas in writing, whether through reports, essays, or other forms of documentation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and decision-making skills. Practice responding to hypothetical scenarios where you need to make judgement calls based on limited information, as this will be crucial for the role.
