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- Tasks: Lead the development of impactful data science products using advanced technologies.
- Company: A leading company known for innovation and excellence in data science.
- Benefits: Competitive pay up to £1000 per day and flexible working arrangements.
- Why this job: Join a dynamic team and make a real difference with your data expertise.
- Qualifications: 5+ years in data science, strong skills in Python, SQL, and machine learning.
- Other info: Exciting 6-month rolling contract with opportunities for professional growth.
The predicted salary is between 72000 - 108000 £ per year.
A leading company is hiring a Data Scientist who has experience with Azure, Python, SQL, ML/NLP/GenAI and ML system design. 6-month rolling contract, paying up to £1000 per day, depending on experience.
Responsibilities:
- Development experience in one or more object-oriented programming languages (e.g. Python, Java).
- Can carry out data analyses to yield actionable business insights.
- Can build scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
- Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages.
- Advanced SQL knowledge.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
- Experience working closely with other data scientists, data engineers, software engineers, data managers and business partners.
Qualifications:
- Development experience in one or more object-oriented programming languages (e.g. Python, Java).
- Thorough understanding of the underlying mathematical foundations of statistics and machine learning.
- Can carry out data analyses to yield actionable business insights.
- Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
- Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages.
- Advanced SQL knowledge.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
- Experience working closely with other data scientists, data engineers, software engineers, data managers and business partners.
Lead Data Scientist in London employer: Emporia Consulting Group
Contact Detail:
Emporia Consulting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Azure, Python, or SQL. 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 data science projects, especially those involving ML/NLP/GenAI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with building scalable data science products and how you've collaborated with engineers and business partners.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Python, SQL, and ML. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Data Scientist role. Share specific examples of your work in data science and how you've delivered value in past roles.
Showcase Your Technical Skills: Since this role requires hands-on experience, make sure to detail your technical skills clearly. Mention any relevant tools and methodologies you’ve used, especially those related to ML system design and data lifecycle stages.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Emporia Consulting Group
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Python, SQL, and the latest ML/NLP/GenAI tools. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you’ve turned data into actionable insights. Think about challenges you faced and how you overcame them using your analytical skills. This will demonstrate your ability to deliver value and execute swiftly while keeping an eye on detail.
✨Collaboration is Key
Since the role involves working closely with data engineers and software engineers, be ready to talk about your experience in collaborative environments. Share examples of successful teamwork and how you’ve contributed to building scalable data science products together.
✨Understand the Business Context
Having a customer-centric mindset is crucial. Research the company and its industry to understand their business model and challenges. Be prepared to discuss how your work as a data scientist can directly impact their goals and drive success.
