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- Tasks: Lead advanced analytics initiatives and design machine learning models for impactful customer solutions.
- Company: Join a leading telecom company focused on innovation and data-driven strategies.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference in customer retention and operational efficiency with cutting-edge technology.
- Qualifications: 6+ years in data science, with strong skills in Python, R, and machine learning.
- Other info: Mentor junior talent and collaborate across teams in a dynamic environment.
The predicted salary is between 70000 - 90000 £ per year.
As a Senior Data Scientist, you will lead advanced analytics initiatives across customer lifecycle management, network optimization, and fraud detection. You will design and deploy machine learning models that directly impact customer retention, revenue growth, and operational efficiency. This role requires both technical expertise and leadership skills to mentor teams and collaborate across departments.
Key Responsibilities
- Customer Analytics & Churn Management
- Build predictive models to identify churn risks and recommend retention strategies.
- Analyze customer usage data to design personalized offers and improve ARPU.
- Forecast traffic demand and optimize bandwidth allocation using ML techniques.
- Apply anomaly detection to proactively identify and resolve network issues.
- Develop models to detect SIM card fraud, subscription fraud, and unusual usage patterns.
- Collaborate with risk teams to strengthen fraud prevention systems.
- Identify upselling and cross-selling opportunities through advanced analytics.
- Provide insights to support new telecom services, including 5G and IoT solutions.
Qualifications
- Experience: 6+ years in data science, with at least 3 years in telecom or related industries.
- Worked in B2B Telecom operator domain.
- Proficiency in Python, R, SQL, Spark, Hadoop, TensorFlow/PyTorch.
- Strong knowledge of machine learning, deep learning, and big data frameworks.
- Experience with telecom datasets (CDRs, billing, CRM, OSS/BSS systems).
- Master’s in Data Science, Computer Science, Statistics, or related field.
- Excellent communication, leadership, and stakeholder management abilities.
Senior Data Scientist in London employer: Bounteous
Contact Detail:
Bounteous Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network with industry professionals! Attend meetups, webinars, or conferences related to data science and telecom. This is a great way for us to make connections and learn about job openings that might not be advertised.
✨Tip Number 2
Showcase your skills through projects! Create a portfolio of your work, especially any machine learning models or analytics projects you've led. This gives us a tangible way to demonstrate our expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We should also be ready to discuss how our past experiences align with the responsibilities of the Senior Data Scientist role.
✨Tip Number 4
Apply directly through our website! It’s often the quickest way to get noticed. Plus, we can tailor our applications to highlight how our skills match the specific needs of the role.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience in data science, especially in telecom, and showcase your technical skills in Python, R, and machine learning. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our advanced analytics initiatives. Don’t forget to mention your leadership experience and how you’ve mentored others in the past.
Showcase Relevant Projects: If you've worked on projects related to customer analytics, network optimisation, or fraud detection, make sure to include them. We love seeing real-world applications of your skills, so share the impact your work had on previous teams or companies.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Bounteous
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, R, SQL, and machine learning frameworks like TensorFlow or PyTorch. Be ready to discuss specific projects where you've built predictive models or optimised processes, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
As a Senior Data Scientist, you'll need to mentor others and collaborate across teams. Prepare examples of how you've led projects or guided junior team members in the past. This will demonstrate your ability to take charge and work well with others.
✨Understand the Telecom Landscape
Familiarise yourself with telecom datasets and industry challenges. Be prepared to discuss how you've used data analytics to tackle issues like churn management or fraud detection. Showing that you understand the specific needs of the telecom sector will set you apart.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about how you would approach real-world challenges in customer analytics or network optimisation. Practising these scenarios can help you articulate your thought process clearly during the interview.