At a Glance
- Tasks: Design and develop data science problems for AI projects using Python and SQL.
- Company: Mindrift, a leader in ethical AI innovation.
- Benefits: Earn up to $55/hour, work remotely, and enhance your portfolio.
- Other info: Flexible freelance role that fits around your studies or other commitments.
- Why this job: Shape the future of AI while working on exciting, real-world challenges.
- Qualifications: Master's or PhD in a quantitative field and 5+ years of data science experience.
The predicted salary is between 40 - 55 £ per hour.
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About The Role
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you will have the opportunity to collaborate on these projects.
Responsibilities
- Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare).
- Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Incorporate big data processing scenarios requiring scalable computational approaches.
- Verify solutions using Python with standard data science libraries and statistical methods.
- Document problem statements clearly with realistic business contexts and provide verified correct answers.
How To Get Started
Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you will help shape the future of AI while ensuring technology benefits everyone.
Requirements
- You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
- You have at least 5 years of hands-on data science experience with proven business impact.
- You have a portfolio of completed projects and publications showcasing real-world problem-solving.
- You are proficient in Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
- You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
- You are proficient in SQL and database operations for data manipulation and analysis.
- You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
- You have good understanding of MLOps practices and model deployment workflows.
- You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).
- Your level of English is advanced (C1) or above.
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Benefits
Why this freelance opportunity might be a great fit for you?
- Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs.
- Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
- Work on advanced AI projects and gain valuable experience that enhances your portfolio.
- Influence how future AI models understand and communicate in your field of expertise.
Freelance Data Science Engineer (Python & SQL) in London employer: Mindrift
At Mindrift, we pride ourselves on fostering a culture of innovation and collaboration, where your expertise in data science can directly influence the future of AI. As a fully remote freelance Data Science Engineer, you will enjoy the flexibility to work on cutting-edge projects that align with your skills while being compensated competitively for your contributions. Join us to not only enhance your portfolio but also to be part of a mission that ethically shapes the landscape of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Freelance Data Science Engineer (Python & SQL) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for freelance opportunities. You never know who might have a lead or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your portfolio! Make sure your completed projects are easily accessible online. A well-organised portfolio showcasing your real-world problem-solving skills can make a huge difference when potential clients are checking you out.
✨Tip Number 3
Stay updated with the latest trends in AI and data science. Follow industry leaders, read relevant blogs, and join forums. This not only boosts your knowledge but also gives you talking points during interviews or networking events.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting projects waiting for talented folks like you. By applying directly, you’ll be in the best position to showcase your skills and land that freelance gig.
We think you need these skills to ace Freelance Data Science Engineer (Python & SQL) in London
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume is tailored to the role of Freelance Data Science Engineer. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in data science. We want to see how you can bring value to our team!
Show Off Your Portfolio:Don’t forget to include a link to your portfolio! This is your chance to shine and show us the real-world problems you've tackled. Include projects that demonstrate your expertise in statistical analysis and machine learning.
Be Clear About Your English Proficiency:Since we need your resume in English, make sure to indicate your level of English proficiency clearly. If you're at C1 or above, let us know! Communication is key in our collaborative environment.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you started on this exciting journey with Mindrift!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific libraries like pandas and scikit-learn, and have examples of your past projects at hand. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Real-World Applications
Prepare to talk about how you've tackled real-world data science problems in your previous roles. Highlight your experience with customer analytics, risk assessment, or any relevant projects that demonstrate your ability to solve complex issues using data.
✨Understand the Company’s Mission
Familiarise yourself with Mindrift's goals and how they leverage collective intelligence in AI. Being able to articulate how your skills align with their mission will set you apart and show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the projects you'll be working on and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the company culture and project scope are a good fit for you.
