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- Tasks: Join a dynamic team to optimize pricing strategies and enhance ML models.
- Company: Be part of a leading E-Commerce platform focused on sustainable second-hand trading.
- Benefits: Enjoy a hybrid work model with two days in the Brighton office and competitive salary.
- Why this job: Work at the cutting edge of AI/ML while making a positive impact on sustainability.
- Qualifications: MSc or PhD in relevant fields, strong Python and SQL skills, and pricing experience.
- Other info: Stay ahead in tech advancements and collaborate with passionate professionals.
The predicted salary is between 33000 - 77000 £ per year.
DATA SCIENTIST UP TO £55,000 Brighton (Hybrid, 2 days per week) COMPANY: We are working on an exciting new role with a leading E-Commerce company. This company is a second-hand marketplace and e-commerce platform where users can sell or trade pre-loved items. They are looking to add a new Data Scientist to the team with experience in Pricing ROLE: Working closely within a team to understand, troubleshoot, and maintain the end-to-end across price optimisation and control best practices. Suggest techniques and deployment improvements. Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in pricing modelling Strong coding skills in Python and SQL Excellent communication skills Any industry specific experience is a bonus Be able to work in their Brighton office twice a week NEXT STEPS: If this role is of interest, please reach out to Joseph Gregory. Keywords: Machine Learning, Data Science, Pricing, Recommender, Deep Learning, GCP, AWS, Python, SQL.
Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience in pricing modeling during the interview. Prepare specific examples of how you've successfully optimized prices in previous roles, as this will demonstrate your expertise and relevance to the position.
✨Tip Number 2
Brush up on your Python and SQL skills before the interview. Be ready to discuss your coding experience and possibly solve a coding challenge, as strong technical skills are crucial for this Data Scientist role.
✨Tip Number 3
Stay updated with the latest trends in machine learning and AI. Being able to discuss recent advancements or techniques can set you apart from other candidates and show your passion for the field.
✨Tip Number 4
Since the role requires hybrid work, be prepared to discuss your experience working in a team environment. Highlight any collaborative projects you've worked on, especially those that involved troubleshooting and maintaining models.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in pricing modeling and your strong coding skills in Python and SQL. Use specific examples from your past work to demonstrate your expertise in data science and machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly in price optimization and maintaining ML models. Show that you are up-to-date with the latest developments in ML/AI.
Highlight Relevant Projects: If you have worked on projects related to pricing or e-commerce, be sure to include them in your application. Describe your role, the techniques you used, and the impact of your work. This will help demonstrate your practical experience.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of machine learning algorithms, pricing strategies, and coding in Python and SQL, as these topics are likely to come up.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of past projects where you utilized these skills, especially in pricing modeling or machine learning.
✨Demonstrate Your Knowledge of Pricing Strategies
Since the role focuses on pricing optimization, familiarize yourself with various pricing strategies and be ready to discuss how you've applied them in previous roles or projects.
✨Stay Updated on ML/AI Trends
Research the latest developments in machine learning and artificial intelligence. Being able to discuss recent advancements will show your passion for the field and your commitment to keeping the company at the forefront of technology.
✨Prepare for Behavioral Questions
Expect questions about teamwork and communication, as you'll be working closely with others. Prepare examples that highlight your ability to collaborate effectively and troubleshoot issues within a team setting.
