315 Data Science jobs in the United Kingdom
Production Software Engineer - Forecasting
Posted 2 days ago
Job Viewed
Job Description
Join to apply for the Production Software Engineer - Forecasting role at G-Research
Production Software Engineer - ForecastingJoin to apply for the Production Software Engineer - Forecasting role at G-Research
Direct message the job poster from G-Research
Talent Acquisition Manager - Research Engineering at G-ResearchDo you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
The role
Ensuring resilience, uptime and operational efficiency is mission-critical to its success.
As a Production Software Engineer, you will play a key role in driving observability, reliability, change safety and runtime optimisation across a complex, federated engineering environment.
You will design and implement the systems, tooling and workflows that ensure the distributed platform is robust, observable and engineered for speed and safety. This includes owning the engineering infrastructure that supports deployment automation, real-time diagnostics and fault-tolerant operations.
This is a high-impact, hands-on engineering role. You’ll work closely with software engineers, infrastructure engineers, front office execution and research to streamline delivery into production, strengthen runtime behaviour and reduce operational risk. You’ll also participate in a shared production support model to reinforce stability and continuous improvement.
Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers.
Key Responsibilities of the role include:
- Improving the resilience and efficiency of real-time distributed systems by identifying bottlenecks, reducing operational toil and limiting blast radius
- Developing tooling and frameworks to support frequent, low-risk software delivery across a wide engineering estate
- Working with infrastructure teams to own and evolve domain specific metrics, alerting and diagnostics infrastructure used to operate and monitor the platform
- Building and maintaining core systems for deployment automation, observability, runtime environment management and release readiness
- Promoting runtime engineering best practices, working with federated teams to align on standards, service ownership and fault tolerance
- Participating in a shared production support rotation, helping respond to incidents, troubleshoot runtime issues and driving engineering improvements
- Collaborating with application, research and execution teams to define and uphold runtime boundaries, deployment criteria and production SLAs
Who are we looking for?
- Strong background in software engineering, ideally in distributed, real-time systems
- Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments
- Familiarity with observability tooling and practices, such as Victoria Metrics, Prometheus, Grafana, OpenTelemetry and SLOs
- Well-developed debugging skills with the ability to navigate unfamiliar systems, identify root causes and deliver effective solutions under time pressure
- Proven track record of contributing to fault-tolerant, high-availability platforms
- Proven ability to build and deploy software in resource-constrained environments, leveraging standard tooling effectively to support practices such as CI/CD systems and deployment automation
- Comfort working in a federated model, engaging across multiple engineering teams and product streams
- Focus on continuous improvement, reducing the need for manual intervention through engineering
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Monthly company events
- Seniority level Not Applicable
- Employment type Full-time
- Job function Engineering, Information Technology, and Finance
- Industries Financial Services and Capital Markets
Referrals increase your chances of interviewing at G-Research by 2x
Get notified about new Software Engineer jobs in London Area, United Kingdom .
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
Newsroom Front-End Developer (12 Month FTC/Secondment)Isleworth, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 3 months ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 year ago
Graduate Software Engineer 2025 - RegTechLondon, England, United Kingdom 1 month ago
London, England, United Kingdom $140,000.00-$180,000.00 3 weeks ago
London, England, United Kingdom 13 hours ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 8 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 5 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 9 hours ago
London, England, United Kingdom 1 week ago
Graduate Software Engineer 2025 - RegTechLondon, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrData Science Engineer
Posted 2 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Data Science Engineer
Posted today
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Staff Data Science
Posted today
Job Viewed
Job Description
Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
Data Science Manager
Posted today
Job Viewed
Job Description
Data Science Manager - up to £120,000 + uncapped bonuses!
Fintech unicorn. Hybrid, London.
Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.
We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.
Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!
Salary: £120,000 + bonus
Benefits: Uncapped bonus structure, work from abroad etc.
Data Science Manager
Posted today
Job Viewed
Job Description
Data Science Manager
London (2–3 days per week)
Up to £120,000
A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.
The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.
This is a role, balancing individual contribution with team leadership.
What You’ll Do
- Lead data science projects focused on pricing optimisation and revenue management.
- Manage and mentor a small international team of data scientists (UK and US based).
- Build statistical and machine learning models to enhance customer value and business outcomes.
- Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
- Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
- Lead data strategy for pricing across inbound and outbound flows.
What We’re Looking For
- Proven data science experience, ideally focused on pricing and revenue optimisation.
- Proven leadership in growing and mentoring data teams.
- Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
- Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
- Hands-on experience with experimentation and causal inference.
- Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
- Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.
If this role looks of interest, please apply below.
Please note, this role cannot offer sponsorship.
Data Science Manager
Posted today
Job Viewed
Job Description
Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?
Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.
This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.
What You’ll Do
- Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
- Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
- Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
- Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
- Manage multiple projects from inception to deployment within cloud-based environments.
- Maintain high standards in code review, documentation, and delivery in a DevOps context.
- Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.
What We’re Looking For
Essential Skills and Experience:
- Proven ability to solve complex, real-world problems through data science and analytics.
- Experience coaching and reviewing work of junior team members.
- Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
- Deep knowledge of machine learning methods and their practical application.
- Experience managing multiple end-to-end data science projects across varied data types.
- Familiarity with DevOps practices and tools like Git.
- Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
- Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
- Ability to align data science efforts with broader business objectives.
Desirable Skills:
- Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
- Familiarity with Generative AI and prompt engineering.
- Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
- Exposure to Agile development environments and software engineering best practices.
- Experience working in large or complex organisations or regulated industries.
- Strong working knowledge of Excel, SQL, Power BI, and Tableau.
Why Join?
- Work in a fast-growth, innovation-driven environment.
- Be part of a diverse and inclusive team where your contributions are valued.
- Tackle meaningful challenges with real-world impact.
- Access continuous professional development and technical learning opportunities.
Be The First To Know
About the latest Data science Jobs in United Kingdom !
Data Science Manager
Posted today
Job Viewed
Job Description
Data Science Manager - up to £120,000 + uncapped bonuses!
Fintech unicorn. Hybrid, London.
Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.
We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.
Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!
Salary: £120,000 + bonus
Benefits: Uncapped bonus structure, work from abroad etc.
Data Science Manager
Posted today
Job Viewed
Job Description
Data Science Manager
Up to £120,000
London (Remote/Hybrid)
Company:
Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.
Responsibilities:
- Lead and deliver scalable statistical models and analyses that drive business decisions
- Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
- Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
- Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
- Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
**Please note that this role does not offer visa sponsorship**
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
Data Science Manager
Posted today
Job Viewed
Job Description
Data Science Manager – Market Research Consultancy
London/Hybrid
Up to £65,000 depending on experience
We are looking for an inquisitive, ambitious, and dynamic individual to join the Data Science team of an established research consultancy to help them continue to develop innovative ways to deliver insight, strategy and consultancy to clients. In your role as a Data Science manager, your skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics initiatives. Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us.
You will:
- run a range of key standard methodologies and execute them with little supervision;
- align client business problems into analytical solutions;
- lead data science projects with your manager’s supervision;
- conduct research to identify new opportunities for data science applications within the industry and spot new opportunities to meet client needs;
- develop custom scripts or tools to streamline routine tasks;
- present results of data science solutions to internal and external clients;
- get involved in team development initiatives and run new methodologies;
- get involved in company-wide initiatives and developments; and
- contribute to internal and external meetings with ideas and suggestions.
You must:
- have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data;
- have excellent communication skills and can easily and clearly explain complex concepts in plain English;
- have experience leading in major projects and can easily and clearly explain complex analytical concepts to colleagues and clients in plain English;
- consistently demonstrate excellent communications skills, the ability to prioritise and multi-task on a daily basis, whilst meeting deadlines;
- take pride in and produce high-quality work, with attention to detail, and have the respect of your colleagues;
- You’re a team player and care about elevating and developing junior members of the team;
- are interested in social attitudes and what makes people, consumers and businesses tick;
- Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression;
Technical must-haves:
- You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise;
- You have experience running Segmentation projects using different clustering methods;
- You are expert with R and/or Python;
Nice-to-haves:
- You have an interest in current affairs and politics;
- You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis;
- You have experience or knowledge of Bayesian methods, machine learning methods, text analytics;
- You have experience or knowledge of analysing client’s CRM data;
- You have experience or knowledge of organisational or financial analytics;
- You are able to programme in VBA and build excel-based simulators;