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- 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 UP TO £80,000 REMOTE (UK) COMPANY: We are partnered with a global player in data-driven solutions for a high-demand sector, partnering with over 150 organizations worldwide – mainly within telecoms. The company specialises in optimising revenue streams through innovative solutions, including data clearing, strategic insights, and IoT management. They are looking to embark on a transformative journey to harness the untapped potential of their data. As the Senior Data Scientist , you will be a pivotal team member, working alongside a Data Engineer and reporting directly to senior leadership. Your role will involve shaping our data strategies, uncovering actionable insights, and spearheading projects that drive innovation and profitability. ROLE: Analyze datasets to identify trends and commercial opportunities. Design, develop and deploy various types of Machine Learning models. Generate actionable insights from product data to create value-driven use cases. Partner with engineers to design scalable data models optimized for cloud and on-premise environments. Drive exploratory data initiatives from hypothesis to proof-of-concept. Present findings and strategic recommendations to senior leadership. REQUIREMENTS: A proven ability to translate data into tangible commercial outcomes. Advanced skills in Python, R, or SQL. Strong experience with cloud platforms like AWS, Azure, or GCP. A self-starter with a results-driven approach and a passion for discovery. Telecom industry experience is a bonus Please note, this role can’t offer sponsorship.
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 telecom industry and its data challenges. Understanding the specific needs and trends in this sector will help you tailor your insights and demonstrate your value during discussions.
✨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 be crucial for the role.
✨Tip Number 3
Prepare to discuss your approach to developing Machine Learning models. Highlight any innovative solutions you've implemented in the past and how they led to actionable insights and 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 key to making an impact.
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 any relevant projects or case studies, include them in your application. This could be through a portfolio or links to GitHub repositories where you demonstrate your ability to design and deploy machine learning models.
Prepare for Interviews: Be ready to discuss your analytical approach and problem-solving skills. Prepare to present findings from past projects and how they led to actionable insights. Familiarize yourself with the company's data strategies and think about how you can contribute to their transformative journey.
How to prepare for a job interview at Harnham
✨Showcase Your Data Expertise
Be prepared to discuss your experience with data analysis and machine learning. Highlight specific projects where you've successfully translated data into actionable insights, especially in a commercial context.
✨Demonstrate Technical Proficiency
Make sure to brush up on your skills in Python, R, and SQL. Be ready to answer technical questions or even solve problems on the spot to showcase your advanced capabilities.
✨Understand the Telecom Sector
If you have experience in the telecom industry, be sure to mention it. Familiarize yourself with current trends and challenges in the sector, as this knowledge can set you apart from other candidates.
✨Prepare for Strategic Discussions
Since you'll be presenting findings to senior leadership, practice articulating your insights clearly and concisely. Focus on how your recommendations can drive innovation and profitability for the company.
