{"id":3845065,"url":"https://alion.io/job/method-staff-data-designer","title":"Staff Data Designer","company":{"id":1887448,"name":"Method","domain":"method.com","url":"https://alion.io/company/method-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Design","role_family":"Design","seniority":"staff","employment_type":null,"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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"GitHub","optional":true},{"name":"NLP","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2024-03-19T20:04:59Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T22:48:44Z","board_verified":true,"closed_at":null,"days_open":962,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":961},"description":"Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Tokyo, Bengaluru, and remote] work with a wide range of organisations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services. \nMethod is part of Hitachi Digital, a digital product engineering company. Hitachi Digital integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. Hitachi Digital is a Hitachi Group Company.\nYour role is to collaborate with multidisciplinary individuals and support the project lead on customer experience strategy, product design, data strategy, and business strategy projects. You will be responsible for building data analytics and predictive & prescriptive models that support various business initiatives from personalisation engines to suggestive product analytics insights and tailored marketing campaigns. \nWe pride ourselves on our user first approach to data science and analytics. We begin every project with an extended discovery phase designed to gain a deep and rich understanding of the problem we are solving for, the needs of end users, and the intricacies of the industry and business we are working within. You must have strong empathetic skills, and be able to diagnose and understand pain points.\nAt Method, we strive to work in a collaborative and supportive environment, and we look for people who can work flexibly and enjoy working as part of a team. Strategic thinking and creative problem solving are key skills to have at Method, as well as the love of continuously learning and sharing knowledge / mentoring team members and colleagues. \nResponsibilities\nLead or co-lead data and AI engagements end to end, taking ownership of the quality of data deliverables and the structure of the work.\nCombine design thinking and user-centric techniques with quantitative analysis to diagnose, define and design data-led products and services.\nFacilitate technical discovery sessions and workshops with clients to uncover pain points, opportunities and available data sources.\nDesign and build predictive and prescriptive ML models, from personalisation and recommendation engines to lead scoring, CLTV, forecasting and risk detection.\nDesign and prototype GenAI and LLM solutions (RAG, agentic workflows, summarisation) that are secure, compliant and grounded in real user needs.\nBuild BI dashboards and data products, and define the KPIs and analytics layers that track adoption and outcomes.\nDevelop data strategies, data-to-decision mappings and phased roadmaps that connect business objectives to technical delivery.\nPresent work to client stakeholders up to C-suite and board level, using a highly visual approach that engages non-technical audiences.\nWrite clear documentation and handovers so clients can take solutions into production.\nSupport sales pursuits by scoping projects, writing proposals and SOWs, and building rapid POCs that prove value and feasibility.\nChampion best practice in MLOps, cloud architecture and code quality, and review the work of other Data Designers.\nMentor junior Data Designers, interns and residency members, and contribute to onboarding materials.\nQualifications\n4+ years in data science, ML engineering or data consulting, including leading client-facing projects.\nProven experience designing and deploying ML models that predict customer needs and behaviours, such as personalisation, recommendation, lead scoring, CLTV or churn and risk models.\nKnowledge of recommendation and personalisation techniques: collaborative and content-based filtering, matrix factorisation, embeddings, contextual and UI personalisation.\nHands-on experience with LLMs and GenAI: prompt design, RAG, vector databases, and frameworks such as LangChain/LangGraph or Hugging Face.\nStrong Python and SQL, with working knowledge of the wider ML stack (pandas, scikit-learn, PyTorch or TensorFlow, XGBoost).\nExperience with cloud data and ML platforms, ideally AWS (S3, SageMaker Pipelines, Glue) and/or GCP, and MLOps practices (MLflow, CI/CD, Docker, infrastructure as code).\nAbility to build BI dashboards (Power BI or Tableau) and quick, visual prototypes (for example Streamlit or React).\nExcellent written, verbal and visual communication, with experience presenting to senior, non-technical stakeholders.\nConfident running workshops and discovery sessions and turning ambiguous problems into clear scope.\nDesirable Experience \nExperience in pre-sales: scoping, proposal and SOW writing, and building POCs.\nExperience with agentic AI, NLP, forecasting, Monte Carlo simulation or reinforcement learning.\nData engineering exposure: Airflow, Spark, Snowflake, PostgreSQL, MongoDB.\nExperience hiring and mentoring, or contributing to a growing team's tooling and ways of working.\nDomain experience in one or more of healthcare, financial services, retail, automotive, energy or EdTech.\nA STEM degree or equivalent practical experience.\nLocation\nRemote First with occasional need to travel to the London office.\nWhy Method?\nWe look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.\nWe believe in work/life balance. Seriously. We offer a ton of competitive perks, including:\nContinuing education opportunities \nFlexible PTO and work-from-home policies \nPension \nHealth and dental benefits\nCompany lunches, company outings, along with a lot of snacks \nHealth and wellness programs \nOther location specific perks (just ask!)\nNext Steps\nIf Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.\nBy clicking the \"Submit Application\" button below, you give your express consent to process your data for this vacancy according to the Recruitment Privacy Notice.\nYou can withdraw your consent at any time by contacting .\nYou can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.","description_format":"text","description_chars":6940,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["UI/UX Design","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-11-06T00:27:21Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.331,"p_room":0.28,"age_days":961,"expected_fill_days":32,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/method-staff-data-designer","json_url":"https://alion.io/job/method-staff-data-designer.json","meta":{"generated_at":"2026-11-06T22:52:01Z","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_verified","counted_by":"address","units_charged":1,"used_today":1538,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":1887448},"rest":"https://alion.io/mcp/rest/get_company?id=1887448"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmethod-staff-data-designer"},{"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%2Fmethod-staff-data-designer"},{"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%2Fmethod-staff-data-designer"},{"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/method-staff-data-designer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmethod-staff-data-designer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3845065}},{"tool":"search_jobs","arguments":{"company":"method.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3845065},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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