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- Tasks: Join a dynamic team to build and deploy ML models for forecasting.
- Company: Be part of a fast-growing SaaS company revolutionising hospitality pricing.
- Benefits: Enjoy a competitive salary up to £70,000 plus amazing perks.
- Why this job: Work on impactful data science projects in a remote, research-driven environment.
- Qualifications: MSc or PhD required; strong Python and cloud experience essential.
- Other info: Collaborate with top-tier Data Scientists and Engineers.
The predicted salary is between 42000 - 84000 £ per year.
DATA SCIENTIST (FORECASTING)
£70,000 + BENEFITS
PRIMARILY REMOTE
If you\’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.
THE COMPANY:
I\’m working on a fantastic opportunity with a fast-growing SaaS company that\’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.
THE ROLE:
You\’d join a high-calibre team in a full-stack data science role where you\’ll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to:
- Building and deploying ML models (Python, Pandas, GCP)
- Forecasting revenue
- Exploring clustering techniques
- Applying NLP to classify ancillary bookings
- Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team
YOUR SKILLS AND EXPERIENCE:
A successful Data Scientist will have the following skills and experience:
- MSc or PhD level of education
- Strong Python skills and experience with Pandas
- Cloud experience e.g. GCP
- A solid foundation in Statistics and ML.
- Experience with forecasting
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Data Scientist (forecasting) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (forecasting)
✨Tip Number 1
Familiarise yourself with the latest trends in forecasting 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
Showcase your experience with Python and Pandas by preparing a portfolio of projects. Having tangible examples of your work can set you apart from other candidates and give you confidence when discussing your skills.
✨Tip Number 3
Network with professionals in the data science community, especially those working in SaaS or hospitality sectors. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising common data science problems, particularly those related to forecasting and clustering techniques. Being well-prepared will help you feel more confident and articulate during the interview process.
We think you need these skills to ace Data Scientist (forecasting)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD qualifications, strong Python skills, and experience with Pandas. Emphasise any relevant projects or roles that showcase your expertise in forecasting and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're passionate about data science and how your background aligns with the company's mission in the hospitality sector. Mention specific techniques you've used, such as clustering or NLP, to demonstrate your fit for the role.
Showcase Relevant Projects: Include a section in your CV or cover letter that details specific projects where you've built and deployed ML models. Highlight your end-to-end ownership of these projects and any measurable outcomes you achieved.
Proofread and Format: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your CV and cover letter are well-formatted and easy to read, making a professional impression.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Pandas, and GCP in detail. Bring examples of past projects where you built and deployed ML models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Research the SaaS company and its approach to pricing and forecasting in the hospitality sector. Understanding their business model and challenges will help you tailor your answers and show genuine interest.
✨Prepare for Statistical Questions
Brush up on your statistics and machine learning concepts, especially those related to forecasting. Be ready to explain how you would apply these techniques to real-world problems they face.
✨Emphasise Collaboration Skills
Since you'll be working with a high-calibre team, highlight your ability to collaborate effectively. Share examples of how you've worked in teams, particularly in research or data science settings, to solve complex problems.