Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative data science projects and mentor teams in AI strategy implementation.
- Company: Join a dynamic telecommunications company revolutionising the industry post-acquisition.
- Benefits: Enjoy a collaborative environment, continuous learning, and opportunities for professional growth.
- Why this job: Be at the forefront of AI advancements and make impactful business decisions.
- Qualifications: PhD in a quantitative field and extensive experience in data science and analytics required.
- Other info: Work with cutting-edge tools like SQL, Python, and Azure in a fast-paced setting.
The predicted salary is between 72000 - 108000 £ per year.
The Company: My client, a growing telecommunications company recently acquired by a dynamic private equity firm, is entering an exhilarating phase of expansion and innovation. This is your chance to join a company that's poised to revolutionize the industry!
Key Responsibilities:
- Develop and implement a generative AI strategy to leverage the latest advancements in AI for innovative solutions.
- Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models.
- Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights.
- Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals.
- Enhance product and service analytics efforts, including network optimization, to maximize business performance.
- Collaborate with senior leadership to develop and execute detailed plans for solution delivery, ensuring alignment with organizational objectives.
- Build and maintain strong relationships with business stakeholders, fostering a collaborative environment within the data science and analytics community.
About the Team: The data science and analytics teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics.
What You'll Need:
- Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques.
- Proven experience in developing and implementing generative AI solutions and strategies.
- Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers.
- Outstanding communication skills to effectively convey data insights to various functions at all levels of the business.
- Deep proficiency in core analytical techniques and a proven track record in delivering data science and analytics projects.
- A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.
- Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure.
- Experience with Databricks and working with large amounts of data.
Ready to lead and innovate in the field of data science and analytics? Apply now and join a team that's shaping the future of telecommunications!
Director of Data Science & Analytics employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Science & Analytics
✨Tip Number 1
Network with professionals in the telecommunications and data science sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in AI and analytics.
✨Tip Number 2
Showcase your leadership skills by participating in or leading data science projects, either at your current job or through open-source contributions. This will demonstrate your ability to mentor teams and drive innovative solutions.
✨Tip Number 3
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, R, Power BI, and Azure. Consider taking online courses or certifications to enhance your proficiency and make your application stand out.
✨Tip Number 4
Prepare for interviews by practising how to effectively communicate complex data insights. Use examples from your past experiences to illustrate your problem-solving skills and how you've driven business results through data analytics.
We think you need these skills to ace Director of Data Science & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive expertise in advanced analytics and your experience with generative AI solutions. Use specific examples from your past roles that demonstrate your problem-solving skills and ability to deliver data science projects.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the key responsibilities outlined in the job description, particularly your experience in leading project teams and collaborating with stakeholders.
Showcase Relevant Skills: Clearly list your technical skills, such as proficiency in SQL, Python, R, Power BI, and Azure. Mention any experience you have with Databricks and handling large datasets, as these are crucial for the role.
Highlight Educational Background: Since a PhD in a quantitative field is required, ensure that your educational qualifications are prominently displayed. Include any relevant research or projects that showcase your analytical capabilities and understanding of advanced statistical techniques.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with advanced analytics, AI, and machine learning. Highlight specific projects where you've implemented generative AI solutions, as this is crucial for the role.
✨Demonstrate Leadership Skills
Since this position involves leading and mentoring teams, share examples of how you've successfully guided project teams in the past. Discuss your approach to fostering collaboration and driving results.
✨Communicate Clearly
Outstanding communication skills are essential. Practice explaining complex data insights in a straightforward manner, as you'll need to convey these insights to various stakeholders across the business.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Be ready to break down complex problems and discuss how you identify key performance drivers in your analyses.
