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For Companies At a Glance
- Tasks: Drive insights from large datasets and develop innovative strategies.
- Company: Join a leading telecoms company focused on growth and innovation.
- Benefits: Enjoy remote work flexibility and be part of a dynamic, new team.
- Why this job: This role offers a chance to shape data strategies and make a real impact.
- Qualifications: Experience in Python, R, SQL, and strong stakeholder communication skills required.
- Other info: Ideal for self-starters eager to work on greenfield projects.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Location: Remote-first (UK-based)Salary: £70,000
The Company
A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they're hiring exceptional talent to push the boundaries of what's possible in commercial strategy.
The Role
As a Senior Data Scientist within the Forecasting Algorithms team, you'll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You'll own the full development lifecycle-from modelling to deployment-while collaborating closely with science, product, and engineering stakeholders.
This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You'll work in a modern MLOps setup, contributing to libraries and frameworks used across the company's data science organisation.
Key Responsibilities:
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Design and deploy time series forecasting models with a strong focus on accuracy and scalability
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Improve existing model performance and drive innovation through new methodologies
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Develop internal ML and forecasting libraries using Python
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Translate product goals into technical solutions in collaboration with leadership
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Implement validation frameworks, unit tests, and monitoring pipelines
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Stay current with advances in machine learning and apply them where appropriate
Tech Stack:
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Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)
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Dagster, Argo, GCP
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Kibana, Elastic
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DevOps-first approach for model deployment
Skills & Experience:
Essential:
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Strong background in statistics, machine learning, and time series forecasting
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Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)
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Proficiency in writing production-level Python code
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Familiarity with CI/CD practices, testing, and model validation
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Confident working across teams and taking ownership of delivery
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Strong communication and problem-solving skills
Desirable:
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Experience in demand forecasting or operations research
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Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning
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Exposure to high-scale SaaS or B2C products
Why Apply?
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Build forecasting systems powering global commercial strategies
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Collaborate with a world-class data science team
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Up to £70,000 + equity in a high-growth AI company
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Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO
How to Apply
To apply, please send your CV to Daniel Abbasi via the Apply link on this page.
Senior Data Scientist employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in data science, especially in telecoms. Being able to discuss recent advancements or case studies during your interview can showcase your passion and knowledge in the field.
✨Tip Number 2
Prepare to demonstrate your experience with Python, R, and SQL through practical examples. Think of specific projects where you utilized these tools to drive insights or solve problems, as this will help you stand out.
✨Tip Number 3
Highlight your stakeholder management skills by preparing anecdotes that illustrate how you've effectively communicated complex data findings to non-technical audiences. This is crucial for a role that requires collaboration within a team.
✨Tip Number 4
Since the role involves greenfield projects, emphasize your self-starter attitude. Share examples of how you've taken initiative in past roles to develop new strategies or models, showcasing your ability to work independently.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with Python, R, and SQL in your CV and cover letter. Provide specific examples of how you've used these tools to drive insights from large datasets.
Showcase Your Projects: Include details about any relevant projects you've worked on, especially those involving customer segmentation, churn prediction models, or data model deployment. This will demonstrate your hands-on experience and innovative strategies.
Emphasize Communication Skills: Since the role requires strong stakeholder management, highlight your communication skills. Share examples of how you've effectively communicated complex data insights to non-technical stakeholders.
Tailor Your Application: Customize your application materials to align with the company's goals and values. Research the telecoms industry and mention how your skills can contribute to their growth and innovation.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, and SQL in detail. Highlight specific projects where you designed, developed, and deployed data models, as this will demonstrate your technical proficiency and problem-solving abilities.
✨Demonstrate Stakeholder Management
Since the role requires strong stakeholder communication skills, think of examples where you've successfully collaborated with different teams or clients. Be ready to explain how you managed expectations and communicated complex data insights effectively.
✨Discuss Innovative Strategies
Prepare to talk about innovative strategies you've implemented in previous roles. Focus on how these strategies drove growth or improved processes, especially in relation to customer segmentation and churn prediction models.
✨Emphasize Your Self-Starter Attitude
As the position is within a newly developed team and involves greenfield work, convey your self-starter mentality. Share examples of how you've taken initiative in past projects and how you approach problem-solving independently.
