{"id":3201351,"url":"https://alion.io/job/intercontinental-exchange-data-scientist","title":"Data Scientist","company":{"id":58612,"name":"Intercontinental Exchange","domain":"ice.com","url":"https://alion.io/company/intercontinental-exchange","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":80,"open_postings":37,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":156000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MS SQL","optional":false},{"name":"n8n","optional":false},{"name":"NumPy","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-06T15:42:00Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-28T19:10:58Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"description":"Job Purpose\nWe are seeking a talented and motivated Data Scientist position to support our growing data, analytics, and AI automation needs. This role focuses on turning large volumes of data into models, insights, and intelligent automation - combining classic data science (statistical analysis, feature engineering, machine learning) with the emerging Agentic AI stack (LLMs, MCP, agent orchestration). You will work closely with data engineers and internal teams to prototype and productionise models, build LLM-powered agents and workflows, and support the integration of AI capabilities across the organization.\nThe ideal candidate is passionate about data and AI, comfortable navigating complex systems, and excited by the opportunity to operationalize AI within a modern enterprise environment. We value curiosity as much as experience: we are looking for someone eager to show what they know, and equally eager to keep learning in a field that moves fast.\nResponsibilities\nExplore, analyse, and model large volumes of structured and unstructured data in Python, from exploratory analysis and feature engineering through to model validation and communication of results.\nDesign, train, evaluate, and deploy machine learning models, and monitor their performance, accuracy, and drift in production.\nBuild and orchestrate Agentic AI solutions - LLM-based agents, RAG pipelines, prompt design, and evaluation frameworks - to automate data quality checks, investigation, and reporting workflows.\nIntegrate models and agents with internal systems and data sources using MCP servers and clients, and workflow automation platforms such as n8n.\nWrite efficient and maintainable SQL queries to support analysis, reporting, and data exploration needs.\nCollaborate with data engineers to productionise models and agents: reliable data flows, logging, alerting, and performance tuning.\nParticipate in the development of internal tools and dashboards that make data and AI capabilities accessible across the organization.\nShare findings with the team and help evaluate emerging AI tooling as the ecosystem evolves.\nKnowledge and Experience\n3+ years of experience as a Data Scientist, ML Engineer, or in a similar analytical role.\nStrong programming skills in Python, with experience writing reusable libraries and working with data manipulation and ML libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow).\nSolid grounding in statistics and machine learning: feature engineering, model selection, validation, and interpreting results for a business audience.\nHands-on experience with LLMs and Agentic AI: prompt engineering, retrieval-augmented generation (RAG), tool/function calling, and building or consuming agent frameworks.\nAdvanced proficiency in SQL and experience working with large-scale databases (e.g., PostgreSQL, MSSQL, Oracle).\nExperience with AI/ML workflows, supporting model training, inference, and evaluation pipelines in production environments.\nGenuine curiosity and a strong appetite to learn - eager to bring existing knowledge to the team and to grow it further.\nPreferred Knowledge and Experience\nExperience building or consuming MCP (Model Context Protocol) servers and clients.\nExperience with workflow automation / orchestration platforms such as n8n, Airflow, or similar.\nExperience with data visualisation and BI tooling for communicating analytical results.\nExposure to real-time data processing technologies (e.g., Kafka, Spark Streaming).\nBackground in finance, trading systems, or financial market data.","description_format":"text","description_chars":3545,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Stock Exchanges & Market Infrastructure"],"lifecycle":[{"event":"open","at":"2026-10-24T08:18:53Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.239,"p_room":0.28,"age_days":82,"expected_fill_days":19,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/intercontinental-exchange-data-scientist","json_url":"https://alion.io/job/intercontinental-exchange-data-scientist.json","meta":{"generated_at":"2026-10-28T22:33:39Z","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":30630,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":58612},"rest":"https://alion.io/mcp/rest/get_company?id=58612"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintercontinental-exchange-data-scientist"},{"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%2Fintercontinental-exchange-data-scientist"},{"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%2Fintercontinental-exchange-data-scientist"},{"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/intercontinental-exchange-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintercontinental-exchange-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3201351}},{"tool":"search_jobs","arguments":{"company":"ice.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3201351},"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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