digital analytics associate consultant Jobs in London

digital analytics associate consultant

graduate data scientist

research scientist (machine learning) Jobs in London

research scientist (machine learning)

technology architect - data engineering Jobs in London

technology architect - data engineering

data scientist

Data Science Festival

Lead Data Scientist - Routing Salary: Up to £100k + Benefits Location: London, Hybrid Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies.This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting.You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production-ready code and delivering end-to-end solutions. What's in it for you? <ul><li> Hybrid working </li><li>25 days holiday + bank holidays, plus Christmas Eve off</li><li> Private medical cover , enhanced sick pay, and in-house gym</li><li> Free breakfast , barista coffee, and Thursday social drinks</li><li>Pension scheme with employer contributions</li><li>Enhanced maternity leave</li><li>Travel perks including Cycle to Work and EV scheme </li><li>Be part of a high-growth tech-led logistics company that values innovation and impact</li></ul> Skills and Experience <ul><li>Experience building optimisation or ML models in logistics , transport , or consulting </li><li> Expertise in Mixed Integer Programming , heuristics , approximate algorithms , constraint programming , or ML/DL</li><li>Hands-on with Python and SQL </li><li> Domain knowledge in areas like routing , pricing , forecasting , or procurement planning</li><li>Excellent communication skills</li><li>Comfortable working in agile teams with a fast-delivery mindset</li><li>A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done</li></ul>If you're a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we'd love to hear from you. Click Apply to send your CV and start the conversation<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fHPd6vLas%2fBhsubwPZBf1dWt" width="0" height="0" />

Lead Data Scientist - Routing

Join the Pipeline: Future Tech Talent Wanted Data Idols are partnering with the Data Science Festival to bring you a top-tier initiative for those wanting to reboot their tech career. From new grads to tech returners to career switchers, if data lights your fire, this is for you.The Careers Day Festival brings together 30 leading hiring companies to top talent (that's you). It's the perfect place to bag your next job, find an exciting new role, or make invaluable connections for your future career. What to Expect <ul><li>Real-talk panels from experts within the tech world</li><li>Data-driven workshops that explore the world of AI in tech careers</li><li>Networking, but it means something</li><li>Gain insights you won't find in any job descriptions</li><li>A mentorship program from role models who have been in your shoes</li></ul> About the DSF Career Day Mentorship Programme: As an attendee, you'll have the opportunity to sign up for the Mentorship Programme, an 8-week series designed to help you grow your skills and level up with the support of an experienced mentor.You'll be matched with a small group led by a data professional who will guide you through 6 structured sessions that will cover everything from goal-setting and CV writing to career confidence and acing your interviews.️ Date: Wednesday 17th September Location: CodeNode, 10 South Pl, Finsbury, London EC2M 7EBBreak into tech. Refresh your career. Build your future today by applying now.<img src="https://www.jobg8.com/Tracking.aspx?HuNA3DPAJ8sDxBaivtY2hM4pOL%2b35kmDm" width="0" height="0" />

Graduate Data Scientist

NLP PEOPLE

Overview We're looking for aResearch Scientist (Machine Learning)to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.This role will off you<ul><li>Work at the intersection of AI and life sciences with high-impact applications.</li><li>Hybrid working (3 days per week in the London office).</li><li>A collaborative, inclusive culture with opportunities for growth and leadership.</li></ul> What you'll do <ul><li>Design and develop novel ML models and algorithms.</li><li>Apply deep learning and generative modelling to complex scientific problems.</li><li>Collaborate with experts across biology, chemistry, physics, and engineering.</li><li>Analyse, tune, and optimise experimental results.</li><li>Depending on experience: lead projects, mentor others, and shape research strategy.</li></ul> What you'll bring <ul><li>PhD (or equivalent experience) in ML, computer science, or a related field.</li><li>Proven expertise in deep learning research and model development.</li><li>Strong knowledge of mathematics (linear algebra, calculus, statistics).</li><li>Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.</li><li>A passion for applying ML to real-world scientific challenges.</li></ul> Nice to have <ul><li>Experience working with biological or chemical data.</li><li>Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.</li><li>Contributions to publications, research projects, or open-source ML.</li></ul><img src="https://www.jobg8.com/Tracking.aspx?3T4Xc8xAqRkMacEatShEH8vB88tUDqUZp" width="0" height="0" />

Research Scientist (Machine Learning)

Amazon

Senior Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Overview Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Responsibilities <ul> <li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li> <li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li> <li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization</li> <li>Provide customer and market feedback to product and engineering teams to help define product direction</li> </ul> BASIC QUALIFICATIONS <ul> <li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work experience</li> <li>5+ years of hands on experience with Python to build, train, and evaluate models</li> <li>5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing</li> <li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li> <li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li> </ul> PREFERRED QUALIFICATIONS <ul> <li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li> <li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li> <li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li> <li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li> <li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li> <li>Track record of leading the design, implementation and delivery of scientifically- complex solutions that span multiple teams.</li> <li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</li> </ul> Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<img src="https://www.jobg8.com/Tracking.aspx?BrmZWvLiuv6EConFlJJTNQyFUmlw37xbs" width="0" height="0" />

Senior Applied Scientist, Generative AI Innovation Center

Matthey

Process Scientist I page is loaded Process Scientist Ilocations: Enfield - UKtime type: Full timeposted on: Posted 5 Days Agojob requisition id: R-013826 Job title Process Scientist Location: Brimsdown, London World-changing careers, enabled by Johnson Matthey. With more than 200 years history, join us and help to accelerate the transition to net-zero! As a Process Scientist, you'll contribute to JM's mission as a world leader in sustainable technology, transforming energy and reducing carbon emissions for a cleaner, brighter future.We are seeking a Process Scientist to provide process support to the evaluation department in Brimsdown as well as develop and improve sampling and evaluation processes for customer feedstocks to the PGM refining business. The work will involve monitoring and analysis of processes and data in conjunction with laboratory, pilot and plant scale development and commissioning trials for our operations at Brimsdown. As the Process Scientist, you will help drive our goals by: Provide general technical support to the Evaluation department to address processing issues and concerns and ensure safe and efficient operations. Design and carry out validations of sampling techniques to ensure the results are representative and repeatable. Build knowledge and expertise in sampling through participation in external courses and reading literature. Assist with refining evaluations to determine sampling and processing routes for potential new refining opportunities and identify potential EHS or operational concerns. Provide technical input into potential process improvements, modifying or commissioning new equipment in the evaluation department as needed. Conduct investigations to assist in Customer complaint resolution. Collaborate with Supply Chain, Commercial, and Analytical teams to investigate and resolve potential sampling issues and evaluate risks. Key skills that will help you succeed in this role : Degree in Materials Science, Metallurgy or Chemistry High level of numeracy, working with data and statistics Demonstrated an understanding and commitment to EH&S Experience working in a quality-driven environment Good practical skills and experience at lab, pilot or plant scale Desire to learn new skills and processes Delivers innovative & practical solutionsEven if you only match some of the skills, we'd love to hear from you to discuss further! What we offer: We make sure salaries are fair, competitive and aligned to individual roles, experience and responsibilities. We are also supportive of hybrid and flexible working and where applicable, offer life, medical and other benefits that support our employees' financial and physical wellbeing, such as: Retirement savings Share plans Saving accounts Life assurance and income protection Medical plans / health assessments Fitness discountsAt JM, inclusivity is central to our values. We create an environment where everyone can thrive, embracing diverse perspectives to tackle challenges and ensure all colleagues feel valued and connected.For any queries or accessibility requirements, please contact . We will work with you to make suitable adjustments at any stage of the recruitment process. All conversations are confidential, and your feedback is welcome to help us provide an accessible and positive recruitment experience.Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks, early application is advised. submit your application, please click the "Apply" button online.All applications are carefully considered and your details will be stored on our secure Application Management System. This is used throughout Johnson Matthey for the selection of suitable candidates for our vacancies as they arise.Johnson Matthey respects your privacy and is committed to protecting your personal information.For more information about how your personal data is used please view our privacy notice: . By applying for this role and creating an account you are agreeing to the notice.Johnson Matthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.<img src="https://www.jobg8.com/Tracking.aspx?CY95c1eotcwyWTQt1YkPf04L7nPY0ML8d" width="0" height="0" />

Process Scientist I

Welcome to Amazon's Worldwide Returns & ReCommerce (WWR&R) Team At WWR&R, we're revolutionizing returns management through our innovative "Zero Initiative," focusing on eliminating return costs, waste, and defects. Our mission extends beyond conventional business metrics to create lasting value for our customers, company, and environment. As pioneers in Amazon's circular economy, we're transforming how returns are handled through edge technology and operational excellence. Our approach combines sophisticated machine learning, automated routing systems, and innovative reuse channels to create seamless experiences for our customers while significantly reducing environmental impact. Our diverse team of experts in business, technology, and operations works collaboratively to manage the complete lifecycle of returned and damaged products. We're developing next-generation solutions that streamline the returns process, enhance product support, and create sustainable reuse opportunities. Join us in building scalable, high-impact solutions that shape the future of sustainable commerce while delivering exceptional customer experiences. At WWR&R, you'll be part of an innovative team that's committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machine learning and statistical approaches. -Mentor junior scientists and interns by providing technical guidance for their projects. -Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fH%2f1zsvk3vZzePNMqPp7o08t" width="0" height="0" />

Senior Applied Scientist, Worldwide Returns & Recommerce - Science

SiriusPoint Ltd.

Overview SiriusPoint is a global underwriter of insurance and reinsurance providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the New York Stock Exchange (SPNT). We have licenses to write Property & Casualty and Accident & Health insurance and reinsurance globally. Our offering and distribution capabilities are strengthened by a portfolio of strategic partnerships with Managing General Agents and Program Administrators. With approximately $2.7 billion total capital, SiriusPoint's operating companies have a financial strength rating of A- (Excellent) from AM Best, S&P and Fitch, and A3 from Moody's.Join Our TeamAs our Head of Pricing Data & Analytics, you will focus on the development and execution of the pricing data & analytics strategy. The immediate focus will be to build out an insight-driven data strategy for pricing in close collaboration with the pricing leadership, IT and underwriting. Key to this is ensuring the pricing data strategy is business led whilst closely aligning to the wider IT data strategy and balancing the need for global consistency with line of business specific requirements. Once the data foundations are in place, the focus will expand to building out wider analytic insights to support pricing, underwriting and senior management. This covers descriptive and predictive analytics based on both internal and external data.This role will suit someone who enjoys setting the strategy direction but also relishes delivering hands-on data and analytical work. This is a greenfield opportunity for the right candidate to build out pricing data & analytical capabilities as a key component of SiriusPoint's journey to being a best-in-class insurer and reinsurer. You will report to the Chief Pricing Actuary. Responsibilities <ul><li>Build out a data strategy for pricing: documenting the current state, the business need and the future vision. Work with IT and the business to build out a roadmap for delivery.</li><li>Develop the SiriusPoint pricing data model and build out robust, scalable pipelines for pricing data.</li><li>In close collaboration with pricing teams, underwriters and senior leadership, build proto-type MI and reporting: either directly or via providing support to relevant pricing teams. Work with IT to productionise.</li><li>Business owner of the pricing datamart as part of the Enterprise Data Hub project.</li><li>Develop strong relationships into IT and the Transformation Office. Represent the pricing function at the Enterprise Data Committee and other key transformation groups.</li><li>Develop and obtain buy-in for a pricing analytics strategy for SiriusPoint , identifying early quick wins alongside longer term goals.</li><li>Develop insights using a variety of analytical tools, techniques, and technologies, and deliver results which drive business decisions.</li><li>Discover, explore and analyse internal and external datasets for the purpose of developing descriptive and predictive analytics for business insight.</li><li>Provide thought leadership on new areas to support the pricing and steering of the business via analytical solutions</li></ul> About SiriusPoint culture and values United behind common goalsAt SiriusPoint we work as one team across our global business, and we unite that team behind common goals, understanding the positive impact we can all make at SiriusPoint. We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career.Our Purpose is to provide security and resilience in an uncertain world.Our Vision is to be recognized as a best-in-class insurer and reinsurer utilizing deep risk capabilities to protect our customers. Blending our talent, expertise and data to provide intelligent risk solutions.Our culture is one of performance and accountability. Our people are our experts and you will be empowered to apply your expertise in a supportive, collaborative and purposeful environment.Our Values are at the heart of our business, and which guide every day actions and decision making.<ul><li>Integrity: Integrity, respect and trust are our core principles</li><li>Customer Focused: Our customers are the reason we exist</li><li>Solution Driven: Creating solutions is our mindset</li><li>Diversity: Diversity, inclusion and allyship make us stronger</li></ul> Your skills and abilities <ul><li>Extensive experience working in data and analytical roles within the insurance industry.</li><li>Knowledge of the global corporate and specialty (re)insurance sector essential. Understanding of reinsurance and delegated business particularly desirable. Either previous pricing actuarial experience or previous experience working closely with pricing actuaries and underwriters.</li><li>Degree in statistics, mathematics, computer science, engineering or similar quantitative fields or equivalent experience in data & analytics.</li><li>Previous experience of building or contributing to the pricing data & analytics strategy of the company.</li><li>Data manipulation and analytical skills in languages such as Python and SQL. Knowledge of modern visualization tools such as PowerBI.</li><li>Software engineering mindset ensuring analytics, insight and reporting can be easily maintained and where appropriate productionised by IT.</li><li>Previous experience of building out and maintaining pragmatic data models balancing global consistency with business specific requirements.</li><li>Ability to identify and build appropriate analytical analysis to match the business problem.</li><li>Proven track record of working closely with pricing & underwriting teams to provide clear and easily digestible visualisation and actionable recommendations from analysis.</li><li>Experience delivering insight from small, messy and/or non-standard data sets.</li><li>Curious and proactive: embrace opportunities from new technologies and approaches such as GenAI and wider analytics.</li><li>Strong stakeholder management and relationship building skills - ability to operate in an international environment essential.</li></ul> Why Should You Join SiriusPoint Our people are our experts, and from day one you will be empowered to apply your expertise in a supportive, collaborative, and purposeful environment. Our Values - Integrity, Customer Focused, Solution Driven, Diversity, and Collaboration - are at the heart of our business, and they guide our everyday actions and decision making. We also unite our global team behind common goals, ensuring you can make a meaningful impact.We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career. We offer a competitive and above market compensation package.We Achieve More TogetherAt SiriusPoint, we know that diversity, inclusion and allyship make us stronger. We value and are committed to supporting the unique voices, backgrounds, cultures, lifestyles, and contributions of the diverse global employee base that make up our business.We know that a diverse and equitable culture, where all voices are included and heard, is critical to our success as an employer. We are committed to developing our DE&I strategy to ensure that SiriusPoint remains a supportive and empowering place of work.<img src="https://www.jobg8.com/Tracking.aspx?3T4Xc8xAqRnLjqtdVTKaJiSY62NJ3tecp" width="0" height="0" />

Head of Pricing Data & Analytics

Explore 89+ Data scientist in London this October. Find roles across top companies and apply now to boost your career.