At a Glance
- Tasks: Design and solve real-world data science problems using Python and SQL.
- Company: Mindrift connects specialists with exciting AI projects for top tech companies.
- Benefits: Earn up to $55 per hour, flexible hours, and work on diverse projects.
- Other info: Join a dynamic team and tackle challenges across various industries.
- Why this job: Make a tangible impact in AI while enhancing your data science skills.
- Qualifications: 5+ years of data science experience and expert Python programming skills.
The predicted salary is between 44000 - 57000 £ per year.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What This Opportunity Involves
- 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.
What We Look For
- 5+ years of hands-on data science experience with proven business impact.
- Portfolio of completed projects and publications showcasing real-world problem-solving.
- Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
- Expert statistical analysis and machine learning – deep understanding of algorithms, methods, and their practical applications.
- Expert with SQL and database operations for data manipulation and analysis.
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
- Understanding of MLOps practices and model deployment workflows.
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).
- Strong written English (C1+).
How It Works
- Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid.
Project Time Expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Freelance Data Scientist (Python & SQL) employer: Mindrift
Mindrift is an exceptional employer for freelance Data Scientists, offering the flexibility to engage in diverse, project-based AI opportunities with leading tech companies. With a strong focus on innovation and real-world problem-solving, Mindrift fosters a collaborative work culture that encourages continuous learning and professional growth, making it an ideal environment for those looking to make a meaningful impact in the field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Freelance Data Scientist (Python & SQL)
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and industry professionals on LinkedIn or at meetups. We can’t stress enough how valuable connections can be in landing those freelance gigs.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Python and SQL. We want to see your problem-solving prowess in action, so make it visually appealing and easy to navigate.
✨Tip Number 3
Tailor your pitch! When applying for projects, customise your approach to match the specific needs of the opportunity. We know you’ve got the skills, so let’s make sure they shine through in your communication.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed for those exciting project-based roles. We’re here to help you find the right fit, so take advantage of our platform!
We think you need these skills to ace Freelance Data Scientist (Python & SQL)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Python and SQL in your application. We want to see how you've tackled real-world data science problems, so don’t hold back on showcasing your portfolio!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your problem statements and examples are easy to understand. Remember, we’re looking for someone who can communicate complex ideas simply.
Tailor Your Application:Don’t just send a generic application! Tailor it to the specific role by mentioning relevant projects and experiences that align with the job description. We love seeing how you connect your background to what we do at Mindrift.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Mindrift
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, especially the libraries mentioned like Pandas and Scikit-learn. Brush up on your statistical analysis skills and be ready to discuss how you've applied these tools in real-world scenarios.
✨Showcase Your Portfolio
Bring along a portfolio of your completed projects that highlight your problem-solving abilities. Be prepared to explain the challenges you faced and how you overcame them, particularly in areas like customer analytics or fraud detection.
✨Understand the Business Context
Familiarise yourself with the types of business challenges the company tackles. Think about how your data science skills can provide solutions to issues like risk assessment or operational efficiency, and be ready to discuss these during the interview.
✨Prepare for Practical Tests
Since the role involves designing computational problems, expect some practical assessments. Practice creating end-to-end data science workflows and be ready to demonstrate your thought process in solving complex problems using Python.
