National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Adecco
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist / ML Engineer

Job Title: Data Scientist

Location: Hybrid, London

Remuneration: £62.02 per hour

Contract Details: Temporary (6 months)


Responsibilities:

  • Collect, organise, interpret, and summarise statistical data to enhance product design and development.
  • Utilise expertise in quantitative analysis and data mining to uncover insights on user interactions with products.
  • Collaborate with Product and Engineering teams to identify trends and solve complex problems.
  • Influence product decisions and launches through data-driven insights.
  • Engage in exploratory analysis and data infrastructure projects to optimise operations.
  • Analyse data to drive tactical and strategic team objectives.
  • Develop narratives based on analytical insights to communicate effectively with stakeholders.
  • Define key metrics for success across various products and features.
  • Perform quantitative analysis on complex data sets using SQL, Python, R, SAS, or Matlab.
  • Implement machine learning techniques and manage ETL processes to enhance data flow and accessibility.


Who We Are Looking For:

A proactive individual excited about enhancing user experiences when dealing with platform enforcement actions. 🌟

A strategic thinker who thrives in optimising systems for scale, balancing user needs with regulatory requirements. ⚖️

A problem-solver who enjoys diving deep into data to identify root causes and drive impactful solutions. 🔍

A collaborator who can form effective partnerships across teams to govern scalable solutions. 🤝

A passionate individual committed to building robust measurement frameworks to track success. 📊


Minimum Qualifications:

  • Proven experience in quantitative analysis and data mining on complex datasets.
  • Proficiency in SQL and Python.
  • Familiarity with statistical software like R, SAS, or Matlab.
  • Experience with A/B testing and applied statistics in a professional setting.
  • Knowledge of quantitative techniques such as clustering, regression, and pattern recognition.


Join us in transforming data into actionable insights and shaping the future of user experiences! 🚀 If you’re ready to make an impact, apply now!


Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

National AI Awards 2025

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.