Data Scientist

hays-gcj-v4-pd-online
Warwick, England
14 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Data Scientist

Ocado London, United Kingdom

Data Scientist

PhysicsX United Kingdom
US$120,000 – US$240,000 pa

Data Scientist

Adepto Technical Recruitment Ltd Farnborough, Hampshire, GU14 7JT, United Kingdom
£45,000 – £60,000 pa

Data Scientist

Infused Solutions London, United Kingdom
£46,000 – £56,000 pa

Data Scientist

Faculty London, United Kingdom
Hybrid

Data Scientist

Alexander Mann Solutions - Contingency London, United Kingdom
Posted
23 Jul 2025 (14 months ago)

Role Purpose:To lead data science projects from initial problem statement, through to data exploration, transformation, and the application of enhanced analytics to our existing business processes. In addition, support themercial team in transforming the capabilities of data analytics, data engineering and data science. Being a part of the central data team as a dedicated resource to themercial team, you will drive a new data culture, best working practice, and advanced data methodologies to build, improve and automate solutions to drivemercial excellence in decision-making.
Accountabilities

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Maintain reproducible model building workflows, document experimental designs and track model performance. Create solutions acrossmercial, Operations and Overheads to influence business strategy and decision-making. Effectively partner withmercial managers across Pricing, Sales, and merce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of data science pipelines.


Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python and Power BI.Exceptional ability tomunicate strategic and technical concepts to a diverse audience and translate business needs into technical requirementsExperience of liaising effectively with Data Engineers and a thorough understanding of modern software development practices and tools ( testing, containerisation and Azure cloud technologies).Working in an agile methodology through the use of Jira and Confluence (Sprints and project management) #4709945 - Harry Taylor

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.