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- Tasks: Join us as a Data Scientist to design predictive models and analyze massive datasets.
- Company: 83data is a dynamic team focused on innovative AI solutions in London.
- Benefits: Enjoy a hybrid work environment and competitive daily rates.
- Why this job: Work on high-impact projects with experts and push the boundaries of AI technology.
- Qualifications: 3+ years in Data Science, proficiency in Python, and a degree in a related field.
- Other info: Ideal for curious minds passionate about AI and machine learning.
The predicted salary is between 60000 - 84000 £ per year.
Contract Data Scientist
Daily Rate: £#removed# p/d
London (Hybrid)
83data are on the hunt for a passionate Data Scientist to join our team on a contract basis. This is your chance to work on high-impact projects with a talented team of experts, crafting solutions that push the boundaries of AI.
As a Data Scientist, you will:
- Design and implement predictive models using the latest ML techniques.
- Work with massive datasets to uncover actionable insights.
- Collaborate with cross-functional teams to develop scalable AI solutions.
- Communicate findings effectively to both technical and non-technical stakeholders.
What We’re Looking For
- Experience: Proven track record in Data Science and Machine Learning (3+ years preferred).
- Skills: Proficiency in Python, TensorFlow/PyTorch, SQL, and data visualization tools.
- Expertise: Strong knowledge of NLP, computer vision, or generative AI is a plus.
- Mindset: A curious, problem-solving attitude with a passion for AI.
- Education: A degree in Computer Science, Mathematics, Statistics, or a related field.
Apply with your most up to date CV or reach out on
#J-18808-Ljbffr
Contract Data Scientist employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Scientist
✨Tip Number 1
Make sure to showcase your experience with predictive modeling and machine learning techniques in your conversations. Highlight specific projects where you've successfully implemented these skills, as this will resonate well with our team.
✨Tip Number 2
Familiarize yourself with the latest trends in AI, especially in NLP, computer vision, and generative AI. Being able to discuss recent advancements or your thoughts on future developments can set you apart during discussions.
✨Tip Number 3
Prepare to demonstrate your proficiency in Python and relevant libraries like TensorFlow or PyTorch. You might be asked to solve a problem or explain your approach to a data science challenge, so practice articulating your thought process.
✨Tip Number 4
Since collaboration is key, think of examples where you've worked with cross-functional teams. Be ready to share how you effectively communicated complex findings to non-technical stakeholders, as this will show your ability to bridge gaps between teams.
We think you need these skills to ace Contract Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and Machine Learning. Focus on relevant projects where you've used Python, TensorFlow/PyTorch, and SQL. Mention any specific achievements or contributions that demonstrate your skills.
Showcase Your Skills: In your application, emphasize your proficiency in data visualization tools and any expertise in NLP, computer vision, or generative AI. Provide examples of how you've applied these skills in past roles.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and problem-solving mindset. Discuss why you're excited about the opportunity to work on high-impact projects and how you can contribute to the team.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail during the interview process. Prepare to explain your approach to designing predictive models and working with large datasets.
How to prepare for a job interview at 83zero Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, TensorFlow/PyTorch, and SQL. Bring examples of projects where you've implemented predictive models or worked with large datasets to demonstrate your proficiency.
✨Highlight Your Problem-Solving Mindset
During the interview, share specific instances where you've tackled complex problems in data science. Emphasize your curiosity and how it drives you to find innovative solutions in AI.
✨Communicate Clearly
Practice explaining your findings and technical concepts in a way that non-technical stakeholders can understand. This will show your ability to collaborate effectively with cross-functional teams.
✨Prepare for Technical Questions
Expect questions related to machine learning techniques, NLP, computer vision, or generative AI. Brush up on these topics and be ready to discuss how you've applied them in your previous work.
