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For Companies At a Glance
- 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.
Pricing Data Scientist (FTC – With the view to go permanent)
UK – Remote
Up to £65,000
We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting-edge environment.
As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to refine pricing strategies and improve business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance.
Key Responsibilities
- Develop and refine ML-driven pricing models to enhance risk assessment and profitability.
- Apply advanced statistical and machine learning techniques to optimize pricing accuracy.
- Automate and streamline pricing model deployment for continuous improvement.
- Collaborate with key stakeholders across engineering, product, and data teams.
- Monitor and assess model performance, iterating as needed to drive business value.
- Ensure regulatory compliance while fostering innovation in pricing methodologies.
What We’re Looking For
- Strong expertise in Python and SQL for data analysis and model development.
- Experience with pricing models, actuarial techniques, or risk modeling.
- Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis.
- Hands-on experience in automating and deploying machine learning models.
- Proven ability to translate complex data into actionable pricing insights.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and experience working in cross-functional teams.
If this role looks of interest, please reach out to Joseph Gregory
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.
