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For Companies At a Glance
- Tasks: Build and deploy advanced ML models using Python, Azure ML, and Databricks.
- Company: Join a leading technology-driven transformation project in Wokingham.
- Benefits: Competitive market rates for a 6-month contract inside IR35.
- Why this job: Make an impact by delivering data-driven solutions in a fast-paced environment.
- Qualifications: Strong Python skills and hands-on experience with Azure ML and Databricks required.
- Other info: Collaborative culture with opportunities to stay current in AI and ML technologies.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for an experienced Data Scientist to join a leading technology-driven transformation project. This role will suit someone who enjoys building scalable ML models and deploying data-driven solutions in a fast-paced, collaborative environment.
Key Responsibilities
- Build and deploy advanced ML models using Python, Azure ML, and Databricks.
- Manage and optimise ML Ops pipelines within the Azure ecosystem.
- Perform deep data analysis, feature engineering, and model evaluation.
- Partner with business and engineering teams to deliver impactful data products.
- Ensure data quality, governance, and scalable architecture across datasets.
- Stay current with emerging technologies in AI, ML, and cloud platforms.
What You’ll Need
- Strong proficiency in Python for data science and ML.
- Hands-on experience with Azure Machine Learning, ML Ops, and Databricks.
- Solid grasp of data modeling, statistics, and large-scale data management.
- Excellent problem-solving and stakeholder communication skills.
- 10+ years of relevant experience preferred.
Data Scientist employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Azure ML and Databricks. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML models and data projects. Use platforms like GitHub to share your code and demonstrate your expertise in Python and Azure ML Ops. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you’ve tackled complex data challenges in the past. We love hearing about real-world applications of your work, so have some examples at the ready!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting projects.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, Azure ML, and Databricks, as these are key for us. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a great fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool projects involving ML models or data analysis, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Azure ML, and Databricks. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. Being able to share specific examples will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex problems you've solved using data science techniques. Think about the challenges you faced, the methods you employed, and the outcomes. This will demonstrate your analytical thinking and ability to deliver impactful solutions.
✨Understand the Business Context
Familiarise yourself with the company’s goals and how data science can drive their success. Be ready to talk about how you can partner with business and engineering teams to create data products that align with their objectives. This shows you’re not just a techie but also a strategic thinker.
✨Stay Current with Trends
Keep up with the latest trends in AI, ML, and cloud platforms. Mention any recent developments or technologies you’re excited about during the interview. This will highlight your passion for the field and your commitment to continuous learning.
