Data Scientist

Tower, Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist

Data Scientist

Data Scientist – £(Apply online only)pd PAYE – 7 month contract – Remote - Tech
 
Overview:
I’m currently partnered with one of the world's leading tech companies who are looking an exceptional Data Scientist to join the team.  In this role, you will have the opportunity to work on high-impact projects, leveraging data to drive insights and shape the future of our products and services. You will collaborate with cross-functional teams, including engineering, product, and marketing, to deliver data-driven solutions that enhance user experiences and support business growth.
 
Role & Responsibilities:

Analyse large, complex datasets to identify trends, patterns, and actionable insights
Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support
Design and implement data-driven experiments to inform product development and optimization
Generate and test hypotheses and analyse and interpret the results of product experiments
Collaborate with engineers to deploy models and algorithms into production
Communicate findings and recommendations to stakeholders through Business Intelligence and data visualizations and presentations
Stay up-to-date with the latest advancements in data science, machine learning, and AI 
Essential Skills & Experience:

Strong experience using SQL is essential
Proficiency in programming languages such as Python or R is essential
6+ years of experience in a data science or similar role, ideally in a fast-paced, innovative environment.
Proven experience as a Data Scientist or in a similar role, with a strong portfolio of projects
Previous experience engaging and communicating effectively with key stakeholders
Experience with machine learning frameworks and libraries
Strong understanding of statistical analysis and data mining techniques
Excellent problem-solving skills and attention to detail
Ability to communicate complex concepts in a clear and concise manner
Experienced working with large data sets 
Package:

Day rate - £(Apply online only)pd PAYE
15% bonus
100% remote role
7-month contract

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.

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.

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.

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.