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- Tasks: Join a team to build and refine impactful machine learning models using GCP.
- Company: Work with a global leader in media and broadcasting, driving innovation.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for contract extension.
- Why this job: Contribute to real-world projects while collaborating with top data scientists.
- Qualifications: 3+ years in ML, expert in Python/SQL, and experience with GCP and big data.
- Other info: Initial 6-month contract with potential for extension.
Data Scientist – GCP | £500-£550 per day (Inside IR35) 2 Days Onsite – Isleworth, West London | 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You\’ll be joining a collaborative team of data scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You\’ll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You\’ll Bring: 3+ years\’ experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data and AI. This is a fantastic opportunity to contribute to an industry-leading team, solving real-world problems with cutting-edge tools over an initial 6-month contract . TPBN1_UKTJ
Data Scientist employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) and its data science tools. Since this role specifically requires experience with GCP, showcasing your knowledge of BigQuery and other relevant services can set you apart from other candidates.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like Pandas, Scikit-Learn, and TensorFlow. Being able to demonstrate your proficiency in these tools during discussions can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your previous projects involving machine learning models, particularly in NLP or computer vision. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had on the business.
✨Tip Number 4
Stay updated on the latest trends in data science and AI. Being knowledgeable about recent advancements can help you engage in meaningful conversations with the team and demonstrate your passion for the field.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with machine learning models, Python, and GCP. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your experience with NLP or computer vision. Mention specific projects where you've successfully built and deployed ML models, and how they delivered business impact.
Showcase Your Technical Skills: In your application, emphasise your proficiency in Python, SQL, and relevant libraries like Pandas and TensorFlow. Provide examples of how you've used these skills in past projects, especially in relation to big data and GCP.
Prepare for Potential Questions: Anticipate questions related to your experience with AI/ML, model optimisation, and presenting insights to stakeholders. Be ready to discuss your approach to problem-solving and how you stay updated with industry trends.
How to prepare for a job interview at 83zero Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning libraries like Pandas and TensorFlow. Bring examples of projects where you've built and deployed ML models, especially in NLP or computer vision.
✨Demonstrate Your Analytical Mindset
During the interview, highlight how you've turned complex data into actionable insights. Be ready to explain your thought process when performing advanced analysis on large datasets.
✨Communicate Clearly
Since you'll be presenting insights to both technical and non-technical stakeholders, practice explaining your work in simple terms. This will show your ability to bridge the gap between data science and business needs.
✨Stay Updated on Industry Trends
Show your passion for data science by discussing recent developments in AI and machine learning. Mention any relevant articles, courses, or conferences you've engaged with to demonstrate your commitment to continuous learning.
