{"id":1915703,"url":"https://alion.io/job/barclays-data-scientist-3","title":"Data Scientist","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":219,"ghost_share":0.014,"stale_share":0.26,"repost_share":0.128,"time_to_fill_p50_days":14,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":170000,"period":"year","method":"role_country_seniority_unknown","sample_n":116},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Angular","optional":true},{"name":"Flask","optional":true},{"name":"Hadoop","optional":true},{"name":"JavaScript","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Streamlit","optional":true},{"name":"Tableau","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-05T16:07:05Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-11T02:00:17Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description\nPurpose of the role\nTo use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.\nAccountabilities\nIdentification, collection, extraction of data from various sources, including internal and external sources.\nPerforming data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.\nDevelopment and maintenance of efficient data pipelines for automated data acquisition and processing.\nDesign and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.\nDevelopment and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.\nCollaborate with business stakeholders to seek out opportunities to add value from data through Data Science.\nAssistant Vice President Expectations\nTo advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.\nLead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes\nIf the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.\nOR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.\nConsult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.\nIdentify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.\nTake ownership for managing risk and strengthening controls in relation to the work done.\nPerform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nCollaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.\nEngage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.\nCommunicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.\nInfluence or convince stakeholders to achieve outcomes.\nAll colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.\nJoin us as a Data Scientist and work closely with senior business stakeholders, uncover, shape and deliver data science projects that enable the realisation of significant (£m) commercial value, Generate sound actionable strategic insights from enormous amounts of raw data through the intelligent application of a broad range of advanced quantitative analytical and statistical techniques from fields such as statistic pattern recognition, machine learning, multivariate data analysis and systems dynamics. You will design, build and test complex business and customer behaviour forecasting models and perform scenario simulations.\nKey Skills:\nExceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders\nExperience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP\nSignificant experience applying machine learning methods with big data technologies.\nSignificant experience in Python and the key analytical and machine learning libraries. Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code.\nExperience on building and deploying in cloud infrastructure such as AWS, Azure or GCP\nExperience in leading on, building and deploying enterprise GenAI projects,\nDeep understanding of LLMs, GenAI frameworks and techniques e.g. RAG, Agentic AI, evaluation and monitoring\nAbility to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning\nActively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business\nExperience in providing technical mentoring to more junior colleagues\nDesirable skills\nMasters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background\nExperienced in creating business models, both financial and consumer behavioural\nExtensive experience of statistical analysis, data mining and visualisation techniques\nExperience of data warehouse and MI environments and practises with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI)\nExperience in PySpark and a Hadoop environment\nProject management and cross functional matrix leadership experience\nExperience in line management of data scientists\nExperience in front end development frameworks such as Angular/React/ Flask/Streamlit\nModular code frameworks e.g MVC Architecture\nYou may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.\nThis role will be based in Glasgow or London.","description_format":"text","description_chars":6777,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-05T16:07:05Z"}],"visa":[],"liveness":{"score":74,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.738,"p_room":1,"age_days":4,"expected_fill_days":14,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/barclays-data-scientist-3","json_url":"https://alion.io/job/barclays-data-scientist-3.json","meta":{"generated_at":"2026-10-11T02:47:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4475,"day_limit":5000,"remaining_today":525,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":12541},"rest":"https://alion.io/mcp/rest/get_company?id=12541"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbarclays-data-scientist-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbarclays-data-scientist-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbarclays-data-scientist-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/barclays-data-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbarclays-data-scientist-3"}]}