116 Predictive Modeling jobs in London
Executive Director, AI Data Science & Machine Learning (UK)
Posted today
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Job Description
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
- As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives that directly shape TWG Global's competitive advantage. Reporting to the Managing Director of AI & Data, you will act as a senior technical leader—driving enterprise-critical projects, setting technical direction, and mentoring a small team of data scientists.
- You will partner closely with senior executives across the firm to align data science solutions with strategic priorities, ensuring adoption of advanced AI methods in a responsible and scalable way. This role requires deep technical expertise coupled with the ability to influence decision-makers and deliver measurable outcomes at the enterprise level.
- Key Responsibilities:
- Lead execution of flagship AI/ML projects that drive measurable value in financial services and adjacent sectors.
- Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation).
- Translate complex business challenges into enterprise-level data science solutions with tangible ROI.
- Mentor and guide a small team of data scientists, fostering technical excellence, rigor, and responsible AI adoption.
- Partner with business leaders, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
- Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
- Define standards for experimentation, reproducibility, and governance of AI solutions.
- Stay ahead of emerging trends in AI/ML, advising on adoption and firm-wide capability building.
Requirements
- 10–12+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects. Strong expertise in advanced machine learning, causal inference, deep learning, and statistical modeling.
- Demonstrated success leading end-to-end projects and influencing senior stakeholders.
- Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
- Experience mentoring or leading small, high-performing teams.
- PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline.
- Recognized as a technical thought leader through publications, external talks, or open-source contributions.
Preferred Experience:
- Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
- Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA). Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks).
- Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups.
- Experience establishing standards for reproducibility, experimentation, and responsible AI.
- Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.
Benefits
- Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services.
- Drive AI transformation for some of the most sophisticated financial entities.
- Be part of a high-growth AI startup scaling from 30 to 80+ employees.
- Competitive compensation, benefits, future equity options, and leadership opportunities.
This is a hybrid position based in the United Kingdom.
We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Manager, Data Science and Machine Learning, Audit and Assurance
Posted 1 day ago
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Manager, Data Science and Machine Learning, Audit and Assurance – ACCA CareersnJoin to apply for the
Manager, Data Science and Machine Learning, Audit and Assurance
role at
ACCA Careers .nConnect to your Industry: Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading experts, as we help build and enhance trust between businesses and the public, by responding to emerging issues and protecting the public interest. Providing assurance to help businesses become more resilient, agile and better prepared for the future.nResponsibilities
Providing data analytics/data science services to deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business through the use of software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI.nDevelopment and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance needs.nHelping the team to support our clients in all areas of large data handling, manipulation, analysis, and modelling.nWorking effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.nQualifications
Essential
Strong problem-solving skills, and capable of generating original solutions to real-world problems.nExperience of coaching junior data scientists/analysts.nExperience in reviewing code and documentation to a high standard.nExperience in using Python (pandas, numpy, scikit-learn).nEnd-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data (text, numerical, categorical).nExperience in project management experience in a DevOps environment.nExperience in using cloud environment (e.g. Azure, AWS).nExperience using Git.nSolid understanding of mathematics, probability, and statistics.nDeep knowledge in a range of machine learning techniques (Supervised and unsupervised).nUnderstanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation.nStrong communication and data presentation skills with the ability to build convincing recommendations and sell these to a non-technical audience.nSelf-driven, able to work independently yet acts as a team playernAble to apply data science principles through a business lens.nDesirable
Experience of using R.nFamiliar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding).nExperience developing Generative AI projects.nExperience of exercising software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection.nExperience in using cloud environment (e.g. Azure, AWS).nExperience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.nExperience using Excel, SQL, PowerBI, Tableau.nExperience using Docker and Kubernetes.nExperience working in an Agile development team.nExperience delivering data science for financial industry or large/complex organisations.nConnect to your business - Audit & Assurance
We know it's not just about the numbers. Often, we let the technology take care of those. It's about the creative and collective thinking of our people. We're redefining the future of audit. Come join us.nAssurance: Businesses need to be resilient and transparent in their reporting to build trust and confidence. Assurance practitioners play a key role in achieving this through independent review and challenge of management's views on a range of regulatory and reporting requirements, whether financial, operational or compliance in nature.nOther highlights
Hybrid working: You’ll be based in London with hybrid working. Our hybrid model enables collaboration in both virtual and physical spaces. Depending on role, you may work in your local office, virtual collaboration spaces, client sites, and remotely. The firm supports flexible working and wellbeing. Please check with your recruiter for specifics.nReturn to work: For this role we can offer coaching and support designed for returners to refresh knowledge and skills after a career break of two years or more.nOur commitment to you: We foster a culture where everyone belongs, feels supported and heard, with a focus on wellbeing and continuous learning. You will be supported to grow technically and personally, and to lead when ready.nSign in to set job alerts and discover more opportunities.nSeniority level
Mid-Senior levelnEmployment type
Full-timenJob function
Engineering and Information TechnologynIndustries: Accounting
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Data science - Geology
Posted today
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We are seeking a talented and motivated individual with a background in either data science or geology to join our team in a cross-disciplinary role. This position offers a unique opportunity to apply advanced analytics and spatial modelling techniques to solve real-world challenges in the mining sector.
You will collaborate with development teams, product owners, and subject matter experts to transform geological and mining data into actionable insights, contributing to the development of cutting-edge technology that enhances subsurface understanding and decision-making.
Key Responsibilities
- Collaborate with cross-functional teams to integrate data science capabilities into software products.
- Analyse and interpret complex geological and mining datasets to generate meaningful insights.
- Contribute to innovative projects such as:
- Inferring rock properties from drilling data
- Merging primary and response rock properties using machine learning
- Applying self-learning models to geological data
- Build and deploy data-driven solutions that support geological decision-making.
- Apply spatial data analysis techniques to improve subsurface data interpretation.
- Background in data science with a focus on geostatistics/geology, or geology with strong data science experience
- Strong analytical and problem-solving skills
- Experience with data analysis, modelling, and visualisation tools
- Understanding of spatial and geospatial data concepts
- Ability to communicate technical insights to non-technical stakeholders
- Collaborative mindset and ability to work effectively in a team environment
- Familiarity with machine learning and self-learning algorithms
- Experience working with geological and mining datasets
- Understanding of software development tools and workflows
- Exposure to 3D data modelling or geological simulation tools
Staff Data Science
Posted 11 days ago
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 Engineer
Posted 11 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 - Geology
Posted today
Job Viewed
Job Description
We are seeking a talented and motivated individual with a background in either data science or geology to join our team in a cross-disciplinary role. This position offers a unique opportunity to apply advanced analytics and spatial modelling techniques to solve real-world challenges in the mining sector.
You will collaborate with development teams, product owners, and subject matter experts to transform geological and mining data into actionable insights, contributing to the development of cutting-edge technology that enhances subsurface understanding and decision-making.
Key Responsibilities
- Collaborate with cross-functional teams to integrate data science capabilities into software products.
- Analyse and interpret complex geological and mining datasets to generate meaningful insights.
- Contribute to innovative projects such as:
- Inferring rock properties from drilling data
- Merging primary and response rock properties using machine learning
- Applying self-learning models to geological data
- Build and deploy data-driven solutions that support geological decision-making.
- Apply spatial data analysis techniques to improve subsurface data interpretation.
- Background in data science with a focus on geostatistics/geology, or geology with strong data science experience
- Strong analytical and problem-solving skills
- Experience with data analysis, modelling, and visualisation tools
- Understanding of spatial and geospatial data concepts
- Ability to communicate technical insights to non-technical stakeholders
- Collaborative mindset and ability to work effectively in a team environment
- Familiarity with machine learning and self-learning algorithms
- Experience working with geological and mining datasets
- Understanding of software development tools and workflows
- Exposure to 3D data modelling or geological simulation tools
Data Science Engineer
Posted 11 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.
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Staff Data Science
Posted 11 days ago
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 1 day ago
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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 3 days ago
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.