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For Companies At a Glance
- Tasks: Develop AI and ML applications to create personalized experiences and impactful solutions.
- Company: Join a market leader in the data technology space, based in London.
- Benefits: Enjoy hybrid working with only 10 days in the office per month.
- Why this job: Be hands-on in projects from idea to implementation, driving meaningful results.
- Qualifications: Proficiency in Python, SQL, and statistics; strong communication skills required.
- Other info: Immediate consideration for applicants—don't miss out!
The predicted salary is between 43200 - 72000 £ per year.
Job Description
My client who are market leaders within the data technology space are looking for a number of Data Scientists to join them on a permanent basis in London.
Hybrid working with 10 days in the office per month.
You will be developing Data Science, AI and ML applications on both new and existing product areas to help create personalised experiences and create impactful solutions for customers, colleagues and partners. This role will be hands on taking projects from idea to implementation driving meaningful results across the business.
Tech skills:
- End to end AI and Machine Learning model development
- Very strong proficiency in Python, SQL and statistics
- Hands on production experience
Additional skills:
- Strong communication skills being able to speak technical terms to non-technical stakeholders
Apply now for immediate consideration.
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Data Scientist employer: Claremont Consulting Ltd
Contact Detail:
Claremont Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in AI and Machine Learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your hands-on experience with Python and SQL. Think of specific projects where you applied these skills, as being able to share real-world examples will make you stand out.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since strong communication skills are essential for this role, being able to convey your ideas clearly to non-technical stakeholders will be a big plus.
✨Tip Number 4
Network with current Data Scientists in the industry. Engaging with professionals on platforms like LinkedIn can provide insights into the company culture and expectations, which can help you tailor your approach.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist position. Familiarize yourself with AI, ML, and data technology concepts to tailor your application effectively.
Highlight Relevant Skills: Emphasize your proficiency in Python, SQL, and statistics in your CV and cover letter. Provide specific examples of projects where you've developed AI and ML models, showcasing your hands-on experience.
Communicate Effectively: Since strong communication skills are essential, ensure that your application demonstrates your ability to explain technical concepts to non-technical stakeholders. Use clear and concise language throughout your documents.
Tailor Your Application: Customize your CV and cover letter for this specific role. Mention how your background aligns with the company's goals and how you can contribute to creating personalized experiences and impactful solutions.
How to prepare for a job interview at Claremont Consulting Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI and Machine Learning model development. Highlight specific projects where you utilized Python, SQL, and statistics to drive results.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. This will help demonstrate your ability to engage with non-technical stakeholders.
✨Prepare for Hands-On Questions
Expect practical questions or case studies that require you to think critically about data science problems. Be ready to walk through your thought process and decision-making.
✨Understand the Company’s Products
Research the company’s existing products and how data science can enhance them. Being knowledgeable about their offerings will show your genuine interest and help you align your answers with their goals.
