{"id":2273942,"url":"https://alion.io/job/shine-data-scientist-ai-engineer","title":"Data Scientist - AI Engineer","company":{"id":59744,"name":"Shine","domain":"shine.co","url":"https://alion.io/company/shine-co","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-09T10:14:01Z","employer_posted_date":null,"last_verified_at":"2026-10-09T10:14:01Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"About ShineShine is the financial copilot for entrepreneurs and small business owners. \nFounded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech unicorn on a mission to restore the joy of running a business, by ending wasted time on financial admin. Shine offers a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing, meaning business owners can focus their energy on growing a healthy business, not held back by manual admin. \nPart of something bigger \nToday we're part of Cegid, a European leader in cloud software for finance and accounting. Together we're building Europe's leading financial copilot for small businesses and their accountants. \nShine already supports more than 400,000 small businesses. As part of Cegid, we now reach over one million small businesses and 15,000 accountants across Europe. \nWe're a multicultural team working from France, Germany, Denmark and the Netherlands, contributing to a wider European network that spans Spain, Portugal. \nYour hiring experience matters \nJust as we respect our customers' time, we respect yours. Your experience with Shine and Cegid should feel simple, transparent and genuinely supportive. \nIf this sounds like somewhere you want to grow, we'd love to hear from you.\n\nThe Banking AI Foundation & Ops Efficiency Team at Shine.Our Banking AI Foundation & Ops Efficiency team accelerates operational efficiency across the Banking Domain by identifying and scaling high-impact, compliant AI-driven workflows.\nWe're a cross-functional team of Software/AI engineers and data scientists who build these systems end-to-end together.\nOur work covers a wide range of AI-driven solutions depending on each team’s specific needs and goals.\nEvaluation, explainability, and traceability of these AI systems are a dedicated focus within our team, and the data scientists own that foundation across every project we ship.\n\nYour role as a Data ScientistWe're looking for a Data Scientist/AI Engineer to contribute to the evaluation process of our system, as well as contribute to the orchestration design and AI safety foundation behind our AI-driven workflows.\nAI solutions are scaling quickly across the Banking Domain, and each new one needs the same evaluation rigour and compliance safeguards we've already built into our existing systems, applied consistently rather than reinvented from scratch each time.\nYou will collaborate with the team to build and manage agentic systems, and be a key driver of the design of the evaluation process for these systems, with privacy and compliance safeguards in mind throughout the whole process. You will work together with your team to ship end-to-end systems.\n\nAbout youDefine and implement evaluation metrics for our AI systems, tailored to what each use case needs to get right.\n\nCurate and maintain \"golden\" datasets to compare a system's real behaviour against the ideal result.\n\nAnalyse historical data to determine what a given system's evals should be checking for in the first place.\n\nMonitor the AI/LLM-based components of our systems in production to catch regressions before they reach customers or compliance reviewers.\n\nHelp build the agentic systems themselves, from single-purpose LLM agents to multi-agent systems with tool-calling and orchestration.\n\nOwn privacy and compliance safeguards, ensuring sensitive data gets detected and redacted correctly and that every system is auditable end to end.\n\nBuild and maintain observability for our agentic components using an LLM observability tool (Langfuse) to ensure agent behaviour stays traceable and transparent.\n\nPartner with the team's software engineers to take the project to production.\n\nContribute to prioritising the automation opportunities across Banking that are worth pursuing, and help other teams adopt what we build.\n\nWhat success looks like90 Days: Onboarded on the team's tooling and one live project. Shipped a first evaluation metric or golden dataset, and/or contributed to building or debugging an agent, with close support. Started a well-scoped task end to end. Relationships built with the team's engineers and senior teammates.\n6 Months: Owns an evaluation pipeline and/or an agent-building or orchestration workstream for a live project end to end. Production issues within their scope are fixed independently rather than routed elsewhere. Design and evaluation trade-offs explained clearly to the team being supported. Contributing to a second project.\n12 Months: Takes a loosely-specified problem, whether that's a new agent to build, a system to orchestrate, or a new eval strategy to define, from data analysis through implementation independently. Trusted as a second opinion on eval design and/or agent architecture by teammates. Contributing to prioritisation or adoption conversations across Banking and CX. Able to directly support a newer joiner on the team.\n\nEqual Opportunity Employer\nWe follow the principle of equal treatment to consider all job applicants and do not discriminate based on their gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc. as per applicable law.\n\nOur recruitment process1️⃣ A 30' first call with Ahmed Sadek (Senior TAP) to get to know you better and share more about Shine.\n2️⃣ A 60' interview with Danni Gregersen (Engineering Manager | AI Foundation & Ops Efficiency | Banking) to discuss your past experiences and the role we are offering.\n3️⃣ A 60' General Tech Interview and Coding Interview (Tech Pre-screen).\n4️⃣ A 90' business case to highlight your skills and give you a hands-on feel for the role.","description_format":"text","description_chars":5657,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Financial Services","Accounting & Tax Software","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-10-11T08:17:05Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.89,"p_room":1,"age_days":7,"expected_fill_days":27,"reasons":["seen:7","velocity","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/shine-data-scientist-ai-engineer","json_url":"https://alion.io/job/shine-data-scientist-ai-engineer.json","meta":{"generated_at":"2026-10-17T13:01:34Z","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":17446,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":59744},"rest":"https://alion.io/mcp/rest/get_company?id=59744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fshine-data-scientist-ai-engineer"},{"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%2Fshine-data-scientist-ai-engineer"},{"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%2Fshine-data-scientist-ai-engineer"},{"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/shine-data-scientist-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fshine-data-scientist-ai-engineer"}]}