Offres junior data scientist à Royaume-Uni

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do • Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation., • Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production., • Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates., • Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions., • Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers., • A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team., • Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices, • Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers., • Familiarity with both pre-training and fine-tuning of large-scale models, • Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques., • A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Our client, a leading hedge fund, is looking for a Senior Applied AI Researcher to join their Applied AI team in London. You will be transforming how professionals interact with artificial intelligence in high-performance environments. This team has developed a suite of AI-powered tools, including custom assistants with deep research capabilities, and is focused on building reasoning models and collaborative AI workspace. We are seeking a Senior Research Scientist to contribute to the development of next-generation AI tools that support decision-making and research workflows. You'll work on impactful projects that bring advanced machine learning research into production, directly influencing how users leverage AI in complex domains. This role offers a unique opportunity to push the boundaries of human + AI collaboration. You'll work within a rich ecosystem of data, models, compute resources, and expert users, enabling rigorous experimentation and innovation. Responsibilities • Conduct original research in machine learning, particularly in reinforcement learning, agent architectures, and large language models (LLMs), • Prototype and develop new ML models and algorithms for real-world deployment, • Collaborate with engineering teams to integrate research into production systems, • Design experiments and analyze results to evaluate model performance, • Engage with end-users to align research with practical applications, • Contribute to the research community through publications, presentations, and open-source projects, • Mentor junior researchers and help shape technical strategy, • Participate in the full research lifecycle from ideation to deployment Requirements: • PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field, • Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP), • 2-5 years of post-PhD experience, • Deep expertise in machine learning, with a focus on NLP and reinforcement learning, • Experience developing ML models in Python (PyTorch), • Proven ability to translate research into scalable, practical solutions, • Experience deploying ML models in production environments, • Familiarity with financial markets or complex decision-making domains, • Knowledge of vector databases, semantic search, or information retrieval systems

Role: Lead Data Scientist Location: London (3 days per week onsite) Salary: £98,000 + Bonus Start Date: ASAP A leading AI-driven insights and analytics business is seeking a Lead Data Scientist to play a pivotal role in shaping the organisation’s data strategy. You’ll lead complex data science projects from inception to deployment while mentoring a growing team of analysts and data scientists. This company combines qualitative research with quantitative data science to uncover the attitudes and behaviours driving customer decisions. The team leverages technology and AI to enhance, not replace, human creativity and insight. Responsibilities • Lead end-to-end execution of complex data science projects integrating statistical modelling, machine learning (ML), and deep learning (DL)., • Collaborate closely with cross-functional teams (product, engineering, business stakeholders) to deliver data-driven solutions., • Design and conduct hypothesis testing (A/B and multivariate testing) and apply causal inference methodologies., • Perform exploratory data analysis, feature engineering, and develop models across traditional statistical and deep learning architectures., • Establish modelling frameworks with statistical quality control, detecting drift and decay., • Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV, and recommendation engines)., • Partner with engineering teams to ensure robust deployment and adherence to MLOps principles., • Shape and consult on broader data strategy and infrastructure., • Mentor and coach junior team members while staying ahead of emerging trends in AI and machine learning. Requirements • Degree in Statistics, Computer Science, or a related field., • 5+ years in data science with at least 2 years leading teams., • Proven success in production deployment of ML/LLM/NLP/CV models., • Strong understanding of machine learning fundamentals, statistical inference, and model evaluation., • Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn)., • Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc., • Skilled in managing complex codebases (Git) and working with cloud platforms (GCP, AWS)., • Excellent analytical, communication, and organisational skills. Desirable • MS/PhD in a quantitative field., • Experience with Vertex AI, Kubeflow Pipelines, DBT, or agentic AI frameworks., • Knowledge of multimodal or meta-learning approaches., • Background in statistical consulting (sampling design, power analysis, non-parametric testing)., • Publications or patents in major conferences (e.g., NeurIPS, ICML, KDD)., • Understanding of marketing, media, or creative strategy domains.

A global financial services firm in London is seeking a Data Scientist to collaborate with teams, build AI products, and implement machine learning solutions.

As a Data Scientist, you will collaborate with our data science and business teams to build state-of-the-art models, and perform exploratory analysis on new and existing data to identify, investigate, and solve challenges.You should be comfortable applying a variety of techniques to find the best re