Data Scientist

Vodafone
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Exciting Opportunity for a Data Scientist!

Location:London, UK

Company:Leading Wealth Management Firm

Are you passionate about leveraging data to drive impactful insights in the finance industry? Our client, a prominent wealth management firm based in London, is seeking a talented Data Scientist to join their innovative team.

About the Company:

Our client is a dynamic and forward-thinking wealth management firm dedicated to revolutionizing the way investments and client engagement are approached. Their team is at the forefront of utilizing cutting-edge technology and data-driven strategies to stay ahead in the market.

Key Responsibilities:

  • Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract actionable insights.
  • Develop predictive models and algorithms to optimize investment portfolios, assess risk exposure, and forecast market trends.
  • Collaborate closely with cross-functional teams to ensure compliance with regulatory requirements and data privacy standards.
  • Implement robust data governance frameworks and quality controls to maintain data integrity and reliability.
  • Design and implement scalable data pipelines for efficient processing and analysis.
  • Conduct exploratory data analysis to identify patterns, trends, and anomalies, providing recommendations for actionable insights.
  • Stay updated on emerging technologies and best practices in data science to contribute to continuous improvement initiatives.


Qualifications and Skills:

  • Master's Degree in computer science, IT, statistics, analytics, mathematics, or related field.
  • - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management.
  • Proficiency in programming languages such as Python, R, or Java, and familiarity with data analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Strong understanding of database technologies and SQL proficiency for data manipulation and querying.
  • Excellent analytical, statistical, and problem-solving capabilities.
  • Ability to effectively convey complex technical concepts to non-technical stakeholders.


Why You Should Apply:

  • Opportunity to work in a collaborative and inclusive environment.
  • Chance to be part of cutting-edge projects at the intersection of finance and technology.
  • Competitive salary and benefits package.
  • Professional growth and development opportunities.


Interested in Joining?

If you're ready to make a meaningful impact and advance your career in data science within the finance sector, apply now!

Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.

BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.


#J-18808-Ljbffr

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.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 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.