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- Tasks: Lead a team to design and build advanced AI models and drive best practices.
- Company: Join a market research company focused on innovative search and ranking solutions.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for growth.
- Why this job: Be part of a dynamic team making impactful decisions in AI and data science.
- Qualifications: MSc or PhD in STEM/AI, 5+ years of Data Science experience, and strong ML skills required.
- Other info: Remote work is an option, fostering a collaborative and inclusive culture.
The predicted salary is between 80000 - 120000 £ per year.
Staff Data Scientist Salary: £95,000,-£115,000 + benefits London – Flexible working (Can be remote) This role is 100% hands-on – with technical leadership Join and lead a dynamic team of Engineers working to drive search, ranking and recommender systems in a Market Research driven company. ROLE AND RESPONSIBILITIES Lead a small team of 3-4, to design and build models across GenAI, Search & Ranking, Deep Learning Recommender Systems and classical ML Driving best practices, code reviews and coding when needed You’ll be advising stakeholders on AI best practices and scoping out projects Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Opportunity to grow and develop, building out a team SKILLS AND EXPERIENCE Required MSc or PhD in STEM/AI related subject Search & Ranking ML experience required OR strong recommender system experience with deep learning (PyTorch/TensorFlow and Neural Networks) 5+ years of Data Science experience Proficiency in Python, SQL and Software best practices Experience working with large data sets and a large user base is essential Excellent communication skills with proven experience working with stakeholders Apply below!
Staff Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist
✨Tip Number 1
Make sure to showcase your hands-on experience with Search & Ranking and recommender systems during the interview. Prepare specific examples of projects you've led or contributed to, especially those involving GenAI and deep learning.
✨Tip Number 2
Brush up on your knowledge of Python and SQL, as well as software best practices. Be ready to discuss how you've applied these skills in previous roles, particularly in managing large datasets and user bases.
✨Tip Number 3
Since this role involves advising stakeholders, practice articulating complex technical concepts in a way that non-technical audiences can understand. This will demonstrate your excellent communication skills.
✨Tip Number 4
Familiarize yourself with the latest trends in AI and machine learning, especially in the context of market research. Being knowledgeable about current developments will help you stand out as a candidate who is proactive and engaged in the field.
We think you need these skills to ace Staff Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, particularly in Search & Ranking and Recommender Systems. Emphasize your proficiency in Python, SQL, and any relevant frameworks like PyTorch or TensorFlow.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about AI and how your background aligns with the role. Mention specific projects where you've led teams or implemented best practices in machine learning.
Showcase Leadership Experience: Since this role involves leading a team, be sure to include examples of your leadership experience. Discuss how you've driven projects, mentored others, or collaborated with stakeholders to achieve results.
Highlight Communication Skills: Given the importance of communication in this role, provide examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Search & Ranking, Deep Learning, and Recommender Systems. Highlight specific projects where you've applied these skills, especially using PyTorch or TensorFlow.
✨Demonstrate Leadership Skills
Since this role involves leading a small team, share examples of how you've successfully managed teams in the past. Discuss your approach to mentoring and driving best practices within a technical environment.
✨Communicate Effectively with Stakeholders
Prepare to explain complex technical concepts in a way that non-technical stakeholders can understand. Practice articulating insights and findings from your previous work, focusing on how they impacted decision-making.
✨Discuss Your Experience with Large Data Sets
Be ready to talk about your experience working with large data sets and user bases. Provide examples of challenges you faced and how you overcame them, emphasizing your problem-solving skills and analytical thinking.
