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For Companies At a Glance
- Tasks: Analyze data, develop ML models, and present insights to drive innovation.
- Company: Join a global leader in data solutions, partnering with 150+ organizations in telecoms.
- Benefits: Enjoy remote work flexibility and the chance to shape data strategies.
- Why this job: Be a key player in transforming data into impactful business outcomes.
- Qualifications: Expertise in Python, R, SQL, and cloud platforms required; telecom experience is a plus.
- Other info: This role does not offer sponsorship.
The predicted salary is between 48000 - 64000 £ per year.
Senior Data Scientist – Forecasting
Remote – (Office in London)
Up to £70,000
About the Role
We are working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company\’s aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce.
You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you\’ll own model development end-to-end—from design and testing to deployment and monitoring.
Key Responsibilities
- Lead efforts to improve the performance and scalability of deployed forecasting models.
- Design and build internal ML and forecasting libraries.
- Contribute to product planning by translating business objectives into measurable results.
- Champion best practices in model development, validation, and inference pipelines.
- Stay current with state-of-the-art techniques in AI and ML and apply them effectively.
- Work closely with technical and non technical stakeholders.
What You’ll Bring
- PhD is highly preferred!
- Strong experience building and implementing forecasting models using modern ML techniques.
- Deep understanding of time series analysis, statistics, and forecasting methodologies.
- Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy).
- Comfort working in a collaborative, cross-functional environment.
Please note, this role cannot offer sponsorship at this stage
Senior Data Scientist employer: Harnham
Contact Detail:
Harnham 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 the telecom sector. Understanding how data-driven solutions are transforming this industry will help you speak confidently about your insights during interviews.
✨Tip Number 2
Showcase your experience with cloud platforms like AWS, Azure, or GCP. Be prepared to discuss specific projects where you've utilized these technologies to drive results, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Prepare to discuss your approach to developing and deploying Machine Learning models. Highlight any innovative solutions you've implemented in the past and how they contributed to commercial success.
✨Tip Number 4
Practice presenting complex data findings in a clear and concise manner. Since you'll be reporting to senior leadership, being able to communicate your insights effectively is crucial for this role.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, machine learning, and any relevant projects. Emphasize your skills in Python, R, or SQL, and mention any cloud platforms you've worked with, such as AWS, Azure, or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how you can contribute to the company's goals. Mention specific examples of how you've translated data into commercial outcomes and your experience in the telecom industry, if applicable.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight any innovative solutions you've developed and the impact they had on previous employers.
Prepare for Interviews: Be ready to discuss your analytical approach and problem-solving skills during interviews. Prepare to present your findings from past projects and how they led to actionable insights. Familiarize yourself with the company's data strategies and be prepared to share your ideas on how to drive innovation.
How to prepare for a job interview at Harnham
✨Showcase Your Data Storytelling Skills
As a Senior Data Scientist, your ability to translate complex data into actionable insights is crucial. Prepare to discuss specific examples where your analysis led to significant business outcomes. Use storytelling techniques to make your findings relatable and impactful.
✨Demonstrate Technical Proficiency
Be ready to dive deep into your technical skills, especially in Python, R, or SQL. Prepare to discuss your experience with machine learning models and cloud platforms like AWS, Azure, or GCP. Consider bringing a portfolio of projects that highlight your expertise.
✨Understand the Telecom Sector
While telecom experience is a bonus, having a solid understanding of the industry will set you apart. Research current trends and challenges in telecoms, and be prepared to discuss how your skills can address these issues and drive innovation.
✨Prepare for Strategic Discussions
Since you'll be presenting findings to senior leadership, practice articulating your strategic recommendations clearly and confidently. Think about how your insights can align with the company's goals and contribute to their transformative journey.
