At a Glance
- 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, 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 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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data science field. You never know who might have a lead on that perfect job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Azure, Python, and SQL. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML and NLP knowledge. Practice coding challenges and be ready to discuss your past projects in detail. Remember, confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also helps us match you with opportunities that fit your skills perfectly!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Python, SQL, and any relevant ML/NLP/GenAI projects. We want to see how your skills align with 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 the perfect fit for the Lead Data Scientist position. Share specific examples of your past work that demonstrate your customer-centric mindset and ability to deliver value.
Showcase Your Projects: If you've built any data science products or conducted analyses that led to actionable insights, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Emporia Consulting Group
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Python, SQL, and ML knowledge. Be ready to discuss specific projects where you've used these technologies, and how they contributed to actionable business insights.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data engineers and software engineers, prepare examples of successful collaborations. Highlight how you’ve built scalable data science products in a team setting.
✨Demonstrate Your Problem-Solving Mindset
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach designing and maintaining data science products in complex environments, and articulate your thought process clearly.
✨Focus on Value Delivery
Emphasise your customer-centric approach and how you prioritise value delivery. Share instances where your work led to swift execution and impactful results, while still paying attention to detail.
