Remote Early-Career Data Scientist — AI & Analytics in London

Remote Early-Career Data Scientist — AI & Analytics in London

London Full-Time 35000 - 42000 £ / year (est.) Working from home possible
Bending Spoons

At a Glance

  • Tasks: Build and improve data pipelines while collaborating with engineers on analytics.
  • Company: Bending Spoons, a dynamic company focused on AI and analytics.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced environment with a focus on innovation and teamwork.
  • Why this job: Leverage AI to uncover insights and support impactful decision-making.
  • Qualifications: Proficiency in English and a collaborative mindset are essential.

The predicted salary is between 35000 - 42000 £ per year.

Bending Spoons is hiring for a data role focused on building and improving data pipelines and analytics across the company.

You’ll work with engineers to ensure data accuracy, scalability, and robust reporting, while developing internal tools and data products used by product teams.

You’ll also partner to support company-wide decision-making and leverage AI to speed up work and uncover insights.

  • The role emphasizes collaboration, initiative, and English proficiency in a fast-paced,
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Remote Early-Career Data Scientist — AI & Analytics in London employer: Bending Spoons

Bending Spoons is an exceptional employer that prioritises employee growth and development, offering significant opportunities for advancement in a dynamic and supportive work environment. With competitive pay and flexible work arrangements, our London-based team thrives on collaboration and innovation, making it an ideal place for driven individuals to excel in their careers while enjoying a healthy work-life balance.

Bending Spoons

Contact Details:

Bending Spoons Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Early-Career Data Scientist — AI & Analytics 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 Bending Spoons!

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 Remote Early-Career Data Scientist — AI & Analytics at Bending Spoons.

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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 Bending Spoons.

Apply Directly through Our Website

When you find a suitable opening like Remote Early-Career Data Scientist — AI & Analytics at Bending Spoons, 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 Remote Early-Career Data Scientist — AI & Analytics in London

Data Pipeline Development
Data Analytics
Data Accuracy
Scalability
Reporting Skills
Internal Tools Development
Data Product Development

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 Bending Spoons, 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 Bending Spoons. 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 Bending Spoons

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 Bending Spoons!

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.