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

Nominate & Attend

Senior Data Scientist Data Science Team · London, UK ·

Jobleads
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

TikTok Shop - Senior Data Scientist, Operations

Senior Data Scientist

Senior Data Scientist - IFRS / Credit Risk Modelling

Senior Data Scientist

Senior Data Scientist

We are looking for aSenior Data Scientistwho enjoys seeing their work used as part of ‘real-life’ solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts.

In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a cooperative, can-do attitude who can build high-quality data science solutions.

If this sounds like you, we can't wait to hear from you!

KEY RESPONSIBILITIES:

  • Actively contribute to the design, development, testing, and evaluation of data science solutions
  • Train and deploy state-of-the-art machine learning and reinforcement learning models
  • Build AI systems using Large Language Models
  • Build processes for extracting, cleaning and transforming data (SQL / Python)
  • Ad-hoc data mining for insights using Python + Jupyter notebooks
  • Present insights and predictions in live dashboards using Tableau / PowerBI
  • Lead the presentation of findings to clients through written documentation, calls, and presentations
  • Actively seek out new opportunities to learn and develop
  • Be an example of data science best-practice (e.g., Git / Docker / cloud deployment)
  • Contribute to proposals for exciting new data science opportunities
  • Provide direction and mentoring to more junior data scientists

REQUIRED SKILLS:

  • Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable)
  • Experience of presenting technical concepts to stakeholders
  • Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions
  • Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees)
  • Experience with physics modelling highly desirable
  • Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning)
  • Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices
  • Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL
  • Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework
  • Excellent communication skills through written reports and presentations
  • Organisational skills (e.g., planning, time management)
  • Strong problem-solving and analytical skills
  • High attention to detail
  • Ability to work independently and as part of a team

INTERVIEW PROCESS:

Stage 1: 20 min video call with the Hiring Manager

Stage 2: 90 min F2F interview including technical exercise, in our London office

OUR COMMITMENT TO DEI:

At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at


#J-18808-Ljbffr

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.