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For Companies At a Glance
- Tasks: Analyze data, develop ML models, and present insights to leadership.
- Company: Join a global leader in data solutions for telecoms, partnering with 150+ organizations.
- Benefits: Enjoy remote work flexibility and the chance to drive innovation.
- Why this job: Be a key player in transforming data into impactful strategies and insights.
- 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 that led to significant commercial outcomes, as this aligns perfectly with what we're looking for.
✨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 success in 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.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your background aligns with the company's goals. Mention specific examples of how you've translated data into commercial outcomes in previous roles.
Showcase Relevant Projects: If you have worked on projects related to telecoms or have experience with IoT management, be sure to include these in your application. Highlight your role in these projects and the impact they had.
Prepare for Interviews: Be ready to discuss your analytical approach and problem-solving skills. Prepare to present case studies or examples of your work that demonstrate your ability to drive innovation and profitability through data.
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 tangible commercial outcomes, and practice presenting these findings in a clear and engaging manner.
✨Demonstrate Technical Proficiency
Make sure to highlight your advanced skills in Python, R, or SQL during the interview. Be ready to discuss your experience with machine learning models and cloud platforms like AWS, Azure, or GCP, as these are key requirements for the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of past projects where you drove exploratory data initiatives from hypothesis to proof-of-concept, and be prepared to explain your thought process and the impact of your work.
✨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 ready to discuss how your skills can help the company optimize revenue streams and drive innovation.
