Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Opus Recruitment Solutions
London
5 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Machine Learning Engineer – Insurance

Metering Data Scientist

Machine Learning Engineer

Data Scientist

Mid-Level Data Analyst

Hybrid Model - 3 Days

Salary: £40,000 - £60,000


The Company:My client, a growing telecommunications company recently acquired by a 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 data analysis strategies to leverage the latest advancements in analytics for innovative solutions.
  • Collaborate with 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.
  • Support 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.
  • Work 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:

  • Expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques.
  • Proven experience in developing and implementing data analysis 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.
  • Proficiency in core analytical techniques and a proven track record in delivering data science and analytics projects.
  • A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.
  • 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 innovate in the field of data science and analytics? Apply now and join a team that's shaping the future of telecommunications! 🌟

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

Careers Education

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Jobs

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.