Data Scientist

Michael Page
City of London
3 days ago
Create job alert
Data Scientist / Machine Learning Engineer

Join our team as a Data Scientist / Machine Learning expert in the Analytics department within the business services industry. This permanent position, based in London, offers an opportunity to apply advanced data science techniques to deliver actionable insights.


Client Details

Our client is a well‑established organisation within the business services industry. They are a medium‑sized entity with a commitment to innovation and excellence in their field, providing a supportive environment for professional growth.


Description

  • Develop and implement machine learning models to analyse complex data sets.
  • Collaborate with cross‑functional teams to identify business challenges and provide data‑driven solutions.
  • Optimise data pipelines and workflows for improved efficiency.
  • Translate analytical findings into clear insights and recommendations for stakeholders.
  • Stay updated on the latest advancements in data science and machine learning methodologies.
  • Create and maintain detailed documentation of data models and processes.
  • Conduct exploratory data analysis to uncover trends and patterns.
  • Ensure data quality and integrity throughout all analytics processes.

Profile

A successful Data Scientist / Machine Learning expert should have:



  • A strong academic background in data science, computer science, mathematics, or a related field.
  • Hands‑on experience with AWS ML stack (SageMaker, Lambda, Redshift).
  • Proven ability to design and implement machine learning algorithms and models.
  • Proficiency in Python, SQL, and ML libraries (e.g., scikit‑learn, XGBoost, PyTorch, TensorFlow).
  • Strong data analysis, statistical modelling, and experimentation skills.
  • Experience with data visualisation tools and techniques.
  • Proficiency in programming languages such as Python, R, or similar.
  • Knowledge of data processing frameworks and platforms.
  • Attention to detail and a methodical approach to problem‑solving.

Job Offer

  • Competitive salary ranging from 60,000 to 69,000 per annum.
  • Comprehensive standard benefits package.
  • Opportunity to work in the thriving business services industry.
  • Located in the heart of London with excellent transport links.
  • Permanent role with opportunities for professional growth and development.

If you are ready to take the next step in your career as a Data Scientist / Machine Learning specialist, we encourage you to apply now!


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Imaging - Remote - Outside IR35

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.

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.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 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.