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- Tasks: Design and deploy machine learning models using Python and PySpark to solve complex business problems.
- Company: Join Smartedge, a forward-thinking company embracing remote work and innovation.
- Benefits: Flexible remote working, competitive salary, and opportunities for professional growth.
- Other info: Stay ahead in a dynamic field with continuous learning and collaboration.
- Why this job: Make an impact by building scalable AI systems and enhancing decision intelligence.
- Qualifications: Experience in Python, PySpark, and advanced analytics is essential.
The predicted salary is between 60000 - 80000 £ per year.
Smartedge’s Client is looking for an individual to help with their Data Scientist (Python, PySpark) @ Remote Working.
Key area: We are seeking an experienced Senior Data Scientist with strong expertise in Python, PySpark, advanced analytics, and agentic AI frameworks. The role focuses on building scalable, production-grade analytics and AI systems, leveraging LLMs, RAG architectures, and agent-based workflows to solve complex business problems and enhance decision intelligence.
Responsibilities:
- Design, develop, and deploy machine learning and advanced analytics models at scale.
- Analyze large, complex datasets using Python and PySpark in distributed environments.
- Build end-to-end data and analytics pipelines, including data ingestion, feature engineering, model training, validation, and deployment.
- Develop agentic AI solutions to automate workflows, orchestrate tasks, and augment human decision-making.
- Apply statistical analysis, ML techniques, and pattern recognition to uncover insights and emerging patterns.
- Design and implement LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, vector databases and embedding-based retrieval, prompt orchestration and agent collaboration.
- Build and maintain scalable systems, APIs, and microservices to support analytics and agent-based solutions in production.
- Collaborate with business, product, and engineering teams to translate requirements into end-to-end AI and analytics workflows.
- Monitor model and agent performance, conduct tuning, and ensure robustness, scalability, and maintainability.
- Document models, agentic workflows, assumptions, and system designs for knowledge sharing and governance.
- Stay current with advancements in data science, LLMs, and agentic AI frameworks.
If this sounds like a role you would be interested in or if you know someone in this field, connect with me or email me at sirisha.p@smartedgesolutions.co.uk. Alternatively, you can call me on Tel: +44(0)203 500 2108.
Data Scientist (Python ,Pyspark) employer: Smartedge Solutions
Contact Detail:
Smartedge Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Python ,Pyspark)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Python and PySpark. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and advanced analytics. This is your chance to demonstrate your expertise in building scalable systems and solving complex problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with LLMs and agentic AI frameworks, as well as how you’ve tackled real-world data challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist (Python ,Pyspark)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and PySpark. We want to see how you've tackled complex datasets and built scalable systems, so don’t hold back on those details!
Showcase Your Projects: Include any relevant projects that demonstrate your skills in machine learning and advanced analytics. We love seeing real-world applications of your work, especially if they involve LLMs or agentic AI solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how your expertise aligns with our needs. Make it personal and engaging – we want to get to know you!
Apply Through Our Website: For the best chance of success, apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Smartedge Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and PySpark, as these are crucial for the role. Brush up on your knowledge of machine learning models and advanced analytics techniques, so you can confidently discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex business problems you've solved using data science. Highlight your experience with building scalable systems and how you’ve used agentic AI frameworks to enhance decision-making.
✨Understand the Business Context
Research Smartedge’s client and their industry. Be ready to discuss how your skills can directly impact their business goals. This shows that you’re not just a tech whiz but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and future challenges they face. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.