Top Data Science Jobs in London

As a Research Data Scientist at dunnhumby, you will apply machine learning and statistical techniques to address complex business problems, conduct data analysis, and validate models. Your work will enhance category management decisions, ensuring optimal product placement for customers.

The Senior Data Scientist will leverage their experience in data science and machine learning to help shape the technology strategy for machine learning and optimization at Index. This role involves analyzing complex datasets, developing data-driven solutions, and working collaboratively with ML engineers and architects to enhance production performance frameworks.

As a Senior Data Scientist, you will lead projects utilizing advanced machine learning techniques to derive insights from complex datasets. You will manage multiple projects, define KPIs, and implement machine learning algorithms, while contributing to all aspects of the Data Science project lifecycle.

As a Data Scientist at Wheely, you will analyze large datasets, utilize SQL, and Python for data manipulation, and leverage business intelligence tools like Looker or Metabase for data visualization. You will lead experimental initiatives and apply statistical methods to provide insights and recommendations for enhancing the brand's service offerings.

As a Senior Principal Data Scientist, you will lead the application of advanced data science methodologies and machine learning in clinical development, focusing on high-dimensional patient data. Your role includes strategic leadership, data analysis, communication of findings, and management of cross-functional teams to support drug development decision-making.

As a Data Scientist at CHEP, you will develop tools leveraging data to enhance supply chain efficiency. Your responsibilities include implementing machine learning techniques, learning new data science methods, contributing to team discussions, and delivering projects autonomously.

The Data Scientist will collaborate with global teams to innovate in data science, machine learning, and generative AI. Responsibilities include utilizing generative AI for code generation, optimizing customer journeys using knowledge graphs, and forecasting software project metrics. The role focuses on driving key projects and improving software development processes through advanced data analysis.

The Data Scientist will focus on time series forecasting and machine learning model building for the global oil and shipping markets. Responsibilities include delivering data science solutions, mentoring junior team members, and collaborating with commercial teams to provide insights from data analysis, ultimately assisting in predicting future price trends and managing risk.

The Graph Data Scientist will design and implement graph-based data models for complex nuclear operations, conducting data analysis and developing machine learning models on graph structures. The role involves collaboration with engineers and IT teams, ensuring data compliance, and presenting findings to stakeholders.

As a Senior Data Scientist, you will design and implement innovative data science solutions for businesses, focusing on creating significant business impact. You will be responsible for developing technical specifications, guiding junior team members, and staying updated with new technologies while collaborating with a multi-skilled delivery team on various projects.

As a Data Scientist at Wheely, you will build heuristic and machine learning models for enhancing ETA accuracy, forecasting traffic speed, and contribute to system improvements. You'll collaborate with engineers and product managers to implement algorithms and enhance metrics dashboards for better mapping insights.

The Lead Data Scientist will support stakeholders by utilizing data science techniques to enhance business performance and drive key initiatives. Responsibilities include model development, exploratory analysis, and creating dashboards while collaborating with various departments to align data insights with business strategy.

The Data Scientist III will support product analytics by optimizing the user experience through quantitative analysis, data mining, and machine learning. Responsibilities include designing experiments, collaborating with product managers, mentoring junior analysts, and presenting insights.

As a Data Scientist on the Acceptance Rates team, you will develop and enhance Machine Learning models to improve payment performance. Responsibilities include designing experiments, collaborating with data teams, and writing quality Python code for feature engineering.

As a Data Scientist, you will apply quantitative analysis and statistical methods to improve partner experience and business results. You'll collaborate with product managers, lead analytics projects, evaluate experiments, build dashboards, and provide actionable recommendations based on your findings.

The Staff Data Scientist will specialize in Large Language Models (LLMs), leading the development and deployment of AI-driven applications. Responsibilities include collaborating with product teams, researching use cases for LLMs, fine-tuning models for specific tasks, and ensuring ethical compliance of AI solutions.

As a Data Scientist at Hiscox, you will analyze and build Machine Learning models to optimize claims processing. You'll collaborate with stakeholders, develop analytical solutions, and ensure best practices in model lifecycle management, all whilst leveraging your insurance knowledge.