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For Companies At a Glance
- Tasks: Analyse data and build machine learning models to drive insights and innovation.
- Company: Join a forward-thinking tech company at the forefront of AI development.
- Benefits: Attractive salary, flexible working hours, and opportunities for skill enhancement.
- Why this job: Be part of a team that shapes the future with cutting-edge AI technologies.
- Qualifications: Strong Python skills and experience with machine learning frameworks required.
- Other info: Exciting projects in a collaborative environment with room for growth.
The predicted salary is between 36000 - 60000 £ per year.
Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.
Machine learning Model Optimisation
Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
Experience in Natural Language Processing (NLP) and/or Computer Vision.
Strong knowledge of Machine Learning algorithms and statistics.
Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
Preferred Skills
- Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
- Experience building AI APIs and microservices.
- Cloud experience (AWS, Azure, or GCP).
Data Scientist in Kilmarnock employer: TestYantra Software Solutions
Contact Detail:
TestYantra Software Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Kilmarnock
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and deep learning. We recommend using GitHub to share your code and demonstrate your expertise in Python and MLOps tools.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of algorithms and statistics. We suggest doing mock interviews with friends or using platforms that focus on technical questions related to data science.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Scientist in Kilmarnock
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, Python, and any relevant tools like Docker or Kubernetes. We want to see how your skills match up with what we're looking for!
Showcase Your Projects: If you've worked on any cool projects involving deep learning or NLP, don’t hold back! Share links or descriptions that demonstrate your hands-on experience. We love seeing practical applications of your skills.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the Data Scientist role without fluff.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at TestYantra Software Solutions
✨Know Your Algorithms
Brush up on your machine learning algorithms and statistics. Be ready to discuss classic techniques like regression, classification, and clustering. Prepare to explain how you’ve applied these in past projects.
✨Showcase Your Tools
Familiarise yourself with MLOps tools like Docker and Kubernetes. Be prepared to talk about your experience with CI/CD pipelines and how they’ve improved your workflow. Real-world examples will make your skills stand out.
✨Deep Dive into Frameworks
Make sure you’re comfortable discussing deep learning frameworks such as TensorFlow, PyTorch, or Keras. Highlight any hands-on experience you have, especially in NLP or computer vision, as this could be a key focus for the role.
✨Cloud and Database Savvy
Don’t forget to mention your experience with SQL/NoSQL databases and big data tools like Spark or Hadoop. If you have cloud experience with AWS, Azure, or GCP, be ready to share how you’ve leveraged these platforms in your projects.
