Average Data Scientist salary in West London

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing.You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes.ResponsibilitiesDeliver data science projects, from problem definition through to actionable insights and presentation of resultsDevelop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomesBuild and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formatsTranslate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholdersWork with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-makingSupport pre-sales and client engagement, helping to demonstrate the value of data insightFollow best practices in data science, reproducible research, and ethical AICollaborate cross-functionally to enhance the company’s products and marketing data solutionsWhat Success Looks Like in the RoleDelivery of impactful, high-quality analytics that directly inform and improve client marketing outcomesBuilding trust and credibility with clients as an analytical consultantRegular iteration on our machine learning methodologies, tools, and frameworksConsistent demonstration of technical excellence and commercial insight in all project deliverablesMeasurable contribution to the enhancement of Sagacity’s data science and analytics product suiteCompetencies and Experience2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancyEducated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similarWorking knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLPProficient in Python and/or R, with strong experience in data quality, model development and feature engineeringStrong command of SQL and familiarity with data engineering environments such as Databricks or similarSkilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or SigmaDemonstrated ability to translate technical findings into strategic recommendations for non-technical audiencesCommercially aware, with proven success in applying analytics to solve business problemsStrong communicator; able to engage stakeholders and present findings with clarity and confidenceSelf-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environmentWilling to travel across the UK for client engagementsMust have the right to work in the UK and a commitment to ongoing professional development

Data Scientist - LondonThis is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions.Client DetailsData Scientist - LondonThe company is a well-established organisation within the Financial Services sector, known for its robust expertise in analytics and data-driven insights. As a large organisation, it offers a structured and professional environment with opportunities to work on impactful projects.DescriptionData Scientist - LondonBuild and deploy machine learning models used in real-world applicationsWork with both structured data and text (NLP) to generate insightsDesign and maintain data pipelines and production-ready systemsApply statistical methods to evaluate models and ensure reliabilityCollaborate with domain experts to solve complex analytical problemsCommunicate findings clearly to both technical and non-technical stakeholdersProfileData Scientist - LondonA successful Data Science professional should have:Hands-on and practical experience building models, and making them usable.Ability to think quantitatively and statistically, not just in terms of tools.Comfortable working across data, models, and production systems.Ability to clearly explain your work and translate complex ideas into simple insights.Strong Python skills, with the ability to write clean, production-quality codeSolid grounding in statistics (not just surface-level understanding)Experience with machine learning, including classical models and some modern NLP approachesExperience building models that are actually used in productionComfortable working with real-world, messy datasets.Familiarity with data pipelines, deployment, and maintaining ML systemsExperience with NLP / text modelling (e.g. classification, embeddings, transformers)Exposure to finance, economics, or risk-related data.Job OfferData Scientist - LondonCompetitive salary ranging from £75,000 to £90,000 per year + Company benefits.Standard benefits package to support your professional and personal growth.Permanent role offering stability and career progression opportunities.An opportunity to work in the heart of London within the Financial Services industry.Be part of a well-established organisation with a focus on analytics and innovation.If you are a motivated Data Science professional looking to advance your career in London, we encourage you to apply for this exciting opportunity!

Contract Principal Data Scientist (Senior Data Scientist) The OpportunityWe're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact.This role sits at the intersection of data science, AI, and business strategy, combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data.What You'll Be DoingBuild strong relationships with stakeholders to identify opportunities where data science and AI can deliver valueDesign, develop and deploy advanced analytics, machine learning models, and data productsLead and contribute to high-impact data science projects across the organisationTranslate complex analysis into clear, actionable insights and recommendationsWork closely with data engineers to ensure robust, scalable data pipelines and solutionsProvide technical leadership, setting standards and coaching other data scientistsDrive innovation and champion the use of AI and advanced analyticsContribute to best practice in data science, governance, and ethical use of data Tech & ToolsYou'll typically work with:Python and advanced statistical toolsMachine Learning and AI frameworksCloud-based data platforms (e.g. Azure ecosystems)Data visualisation and reporting toolsData engineering and transformation pipelinesWhat We're Looking ForEssential:Extensive experience designing and delivering data science and AI solutions in real-world environmentsStrong expertise in statistical analysis, machine learning, and advanced analytics techniquesProven ability to write and optimise complex codeExperience working closely with data engineers and multidisciplinary teamsDemonstrable contribution to building data science capability and best practiceAbility to communicate complex findings clearly to both technical and non-technical audiencesDesirable:Experience working in agile, iterative delivery environmentsUnderstanding of user research and user needs in product development What Makes This Role Stand OutOpportunity to lead and shape AI and data science strategyCombination of hands-on delivery and technical leadershipFocus on delivering real-world impact through dataWork across a variety of complex, high-value problem spacesKey SkillsAdvanced statistical analysis and modellingData engineering collaboration and data lifecycle understandingStorytelling with data and visualisationData ethics, privacy, and governance awarenessStakeholder engagement and influencingProduct thinking and deliveryWhat You'll DeliverHigh-quality AI models and analytical solutionsInsightful dashboards, reports, and visualisationsScalable and reusable data science productsEstablished standards, practices, and capability improvementsThought leadership in data science and AI innovationRobert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates