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- Tasks: Analyse data and build predictive models to drive insights and decisions.
- Company: Dynamic tech firm focused on innovation and data-driven solutions.
- Benefits: Competitive pay, flexible working, and opportunities for skill enhancement.
- Why this job: Join a cutting-edge team and shape the future with data science.
- Qualifications: Experience in machine learning, Python, and data analysis required.
- Other info: Collaborative environment with potential for international travel.
The predicted salary is between 50000 - 70000 £ per year.
Role: Data Scientist
Employment: Contract - Inside IR35
Location: West Drayton, Waterside, UK & Spain once a month
Required Skills & Qualifications
- Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
- 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)
- Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines
Data Scientist in London employer: Test Yantra
Contact Detail:
Test Yantra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists on LinkedIn or at local 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 machine learning projects, especially those using Python and deep learning frameworks. We want to see your work in action, so make it shine!
✨Tip Number 3
Prepare for the interview like it’s the championship game! Brush up on your knowledge of algorithms, statistics, and MLOps tools. We recommend practicing common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented data scientists, so let’s get your application in!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, Python, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills match the role, so don’t be shy about showcasing your achievements!
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 perfect fit for our team. Let us know what excites you about the role and why you want to join StudySmarter.
Showcase Your Projects: If you've worked on any cool projects involving machine learning or data analysis, make sure to mention them! We love seeing practical applications of your skills, so include links to your GitHub or any relevant portfolios.
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 – just follow the prompts and let us see what you’ve got!
How to prepare for a job interview at Test Yantra
✨Know Your Algorithms
Brush up on your machine learning algorithms and statistics. Be ready to discuss classic techniques like regression, classification, and clustering. You might even be asked to solve a problem on the spot, so practice explaining your thought process clearly.
✨Show Off Your Python Skills
Make sure you’re comfortable with Python libraries like NumPy, Pandas, and Scikit-learn. Prepare to demonstrate your coding skills, perhaps through a live coding exercise or a take-home task. Familiarise yourself with common data manipulation tasks and be ready to explain your code.
✨Deep Learning Frameworks Are Key
Since hands-on experience with frameworks like TensorFlow, PyTorch, or Keras is essential, be prepared to discuss projects where you've used these tools. Highlight any specific challenges you faced and how you overcame them, as this shows your problem-solving abilities.
✨MLOps Knowledge Matters
Familiarise yourself with MLOps tools such as Docker, Kubernetes, and CI/CD pipelines. Be ready to talk about how you’ve implemented these in past projects. Companies love candidates who can bridge the gap between development and operations, so show them you can do just that!