{"id":3967525,"url":"https://alion.io/job/bmc-software-senior-data-scientist-3","title":"Senior Data Scientist","company":{"id":58475,"name":"BMC Software","domain":"bmc.com","url":"https://alion.io/company/bmc-software","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":99,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0.4,"time_to_fill_p50_days":15,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NumPy","optional":false},{"name":"OpenShift","optional":false},{"name":"Pandas","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SFT","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true},{"name":"Confluence","optional":true},{"name":"CrewAI","optional":true},{"name":"DeepEval","optional":true},{"name":"ElasticSearch","optional":true},{"name":"FAISS","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Google ADK","optional":true},{"name":"Jira","optional":true},{"name":"Kubeflow","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LangSmith","optional":true},{"name":"Milvus","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"OpenSearch","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"PEFT","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Ragas","optional":true},{"name":"Triton","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-11-09T14:48:53Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T14:48:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"CareerArc Code\nCA-JK\nHybrid: #LI-Hybrid\nBMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.\nWe're looking for a Senior Data Scientistto join our AMI group. This hands-on role combines Machine Learning, statistical modeling, Generative AI, RAG, model evaluation, and fine-tuning for enterprise AI applications. AMI supports commercial AI providers and on-premises models, with agents, MCP tools, and A2A interoperability delivered in partnership with AI Engineering.\nAbout the Role:\nYou will independently design, develop, evaluate, and operationalize complex AI/ML solutions. You will contribute hands-on technical expertise, apply rigorous experimentation and MLOps/LLMOps practices, improve modeling and evaluation approaches within assigned initiatives, and mentor other Data Scientists.\nYou will be a part of the AI Migration team, responsible for building tools that help customers transition from competitor products to BMC solutions. You'll work at the intersection of software engineering and AI, combining code-based conversion with AI-assisted processing to tackle migration challenges. Your work will help reduce manual effort and enable services to deliver accurate, timely customer migrations\nKey Responsibilities:\nMachine Learning & Applied Data Science\nApply classification, regression, ranking, forecasting, clustering, and anomaly detection to enterprise AI and agentic use cases.\nDevelop and evaluate intent classification, semantic matching, agent/skill/tool ranking, and model-routing techniques; compare learned approaches with rules, embeddings, and LLM-based baselines.\nUse statistical modeling to estimate execution latency, token demand, inference costs, workload trends, and resource requirements.\nApply clustering and anomaly detection to identify recurring intents, capability gaps, unusual agent behavior, and execution regressions.\nConduct exploratory analysis, dataset preparation, feature engineering, hypothesis testing, and reproducible experiments.\nFoundation Models, Prompting & Context Engineering\nEvaluate commercial API and self-hosted open-weight models for accuracy, reasoning, instruction adherence, structured outputs, latency, throughput, and total cost.\nDesign and optimize system instructions, prompt templates, few-shot examples, tool-calling prompts, and context assembly strategies.\nBenchmark model alternatives for specific enterprise workloads and document quality/cost/latency tradeoffs.\nCollaborate with AI Engineering and Platform Engineering on inference performance, quantization tradeoffs, and GPU/VRAM capacity assumptions.\n Retrieval-Augmented Generation (RAG)Design and optimize document parsing, chunking, metadata, embedding, retrieval, reranking, and context selection strategies.\nEvaluate vector, keyword/BM25, hybrid, and semantic retrieval, including access-aware retrieval where relevant.\nDiagnose retrieval versus generation failures; measure Recall@K, nDCG, groundedness, faithfulness, and end-to-end answer quality.\nCompare embedding and reranking models using representative enterprise datasets and reproducible benchmarks.\nModel Fine-Tuning & Adaptation\nAssess when prompting, RAG, supervised instruction fine-tuning, or parameter-efficient adaptation is appropriate.\nCurate instruction datasets and holdout evaluations; apply SFT, LoRA, QLoRA, or comparable methods.\nMeasure gains over base-model and prompting/RAG baselines, including generalization, regressions, data leakage, and operating costs.\nCollaborate on the packaging and validation of fine-tuned model artifacts and adapters.\nAgentic AI, MCP & A2A\nApply modeling and evaluation expertise to intent routing, agent/skill discovery, MCP tool selection, workflow selection, and planning effectiveness.\nEvaluate task completion, tool-call correctness, argument extraction, delegation quality, and recovery from failures.\nWork with AI Engineering on agentic frameworks and understand MCP tool schemas and A2A Agent Cards, skills, and task delegation.\nContribute decision models and quality signals without owning agent runtime, MCP server, or A2A protocol implementation.\nAI Evaluation & Experimentation\nDesign golden datasets, holdout sets, human review protocols, LLM-as-judge calibration, and statistical comparison methods.\nAutomate evaluations and regression checks for prompts, foundation models, RAG, fine-tuned models, routing, and agents.\nDefine measurable quality thresholds for accuracy, relevance, groundedness, instruction following, task completion, and cost/performance.\nInvestigate regressions and use evidence to guide model, prompt, retrieval, and routing decisions.\nImplement and maintain reproducible experimentation, model evaluation, and lifecycle workflows for assigned AI/ML initiatives, including automated validation and production readiness checks.\nMLOps, LLMOps & Model Lifecycle\nApply reproducible experiment tracking across datasets, code, model versions, hyperparameters, prompts, retrieval configurations, metrics, and artifacts.\nDevelop and maintain automated training, fine-tuning, benchmarking, and evaluation pipelines, with model registry and artifact traceability.\nDefine and integrate quality gates, regression tests, and model/prompt/RAG release-readiness criteria with engineering teams.\nAnalyze production quality and drift signals, agent routing accuracy, latency, throughput, and token usage; recommend remediation.\nCollaborate with engineering on packaging, deployment handoffs, observability, rollback criteria, and ongoing model lifecycle management.\nTechnical Leadership & Collaboration\nIndependently lead complex Data Science initiatives from problem formulation through model development, evaluation, and production handoff.\nMake technical decisions within assigned initiatives, balancing model quality, performance, cost, and delivery requirements.\nImprove reusable modeling, benchmarking, experimentation, and MLOps/LLMOps practices within assigned initiatives.\nCollaborate with AI Engineering, AI Quality, Platform Engineering, Product Management, and domain experts.\nTranslate business requirements into measurable AI and ML objectives.\nMentor junior and mid-level Data Scientists and contribute to technical reviews.\nCommunicate complex AI and ML concepts clearly to technical and non-technical stakeholders.\nMust-Have Skills & Experience\n8+ years of relevant Data Science, Machine Learning, or Applied AI experience.\nBachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field, or equivalent education and industry experience.\nAdvanced Python proficiency with Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow; SQL and practical data preparation skills.\nStrong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression, ranking, clustering, forecasting, and anomaly detection knowledge.\nHands-on LLM prompting, embeddings, model comparison, and RAG design/optimization, including chunking, retrieval, and reranking.\nPractical instruction fine-tuning or parameter-efficient model adaptation experience, with measurable baseline comparisons.\nExperience designing evaluation datasets, automated quality metrics, and statistical model/LLM/RAG experiments.\nHands-on MLOps and LLMOps: experiment tracking, model/dataset/prompt versioning, reproducible pipelines, registries/artifacts, evaluation automation, quality gates, and monitoring.\nWorking knowledge of agent planning, routing, tool calling, MCP, A2A, and multi-agent patterns.\nUnderstanding of inference latency, throughput, concurrency, token cost, and on-prem versus provider-hosted model tradeoffs.\nFamiliarity with AWS and/or Kubernetes or Red Hat OpenShift (OCP), and collaboration with platform engineering.\nClear communication, independent problem solving, cross-functional collaboration, and mentoring.\nDemonstrated ability to independently deliver complex AI/ML solutions, make sound technical decisions within assigned initiatives, and mentor other Data Scientists.\nExperience contributing to reusable modeling, evaluation, and MLOps/LLMOps practices within project teams.\nEvidence We Will Look for in Hiring\nDelivered measurable improvements in model quality, RAG retrieval, routing accuracy, fine-tuning outcomes, or inference cost against documented baselines.\nBuilt reproducible ML/LLM experiments, automated evaluation pipelines, tracked artifacts, and model quality gates.\nDemonstrated independent delivery of complex AI/ML solutions, rigorous model validation, collaboration on production monitoring, mentoring of other Data Scientists, and improvements to technical practices within assigned initiatives.\nDemonstrated improvements in model quality, reliability, performance, or operational efficiency within specific projects or applications.\nNice-to-Have Skills\nExperience with OpenSearch, Elasticsearch, FAISS, Milvus, pgvector, or similar retrieval platforms.\nHands-on use of LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, or other agentic frameworks.\nFamiliarity with MLflow, Kubeflow, Ragas, DeepEval, OpenJudge, LangSmith, or comparable MLOps/LLMOps and evaluation tooling.\nExperience with vLLM, NVIDIA Triton, quantization, GPU memory sizing, or distributed inference.\nPython backend APIs (FastAPI, Flask, or similar); OpenTelemetry and AI observability.\nAI safety, prompt injection evaluation, privacy, responsible AI, and model governance.\nEnterprise code understanding, legacy modernization, or domain-specific model adaptation.\nAgile practices and Atlassian Jira/Confluence.\nMaster’s degree in a related field.\n#LI-Remote\nOur commitment to you!\nBMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!\nIf after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!\nBMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.\nBMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.","description_format":"text","description_chars":11067,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Workflow & Process Automation (RPA, BPM)","DevOps & Platform Engineering","IT Service & Asset Management"],"lifecycle":[{"event":"open","at":"2026-11-09T14:48:53Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:1","win:early"],"computed_at":"2026-11-09T16:39:52Z"},"pay":null,"html_url":"https://alion.io/job/bmc-software-senior-data-scientist-3","json_url":"https://alion.io/job/bmc-software-senior-data-scientist-3.json","meta":{"generated_at":"2026-11-09T16:39:52Z","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":24384,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":58475},"rest":"https://alion.io/mcp/rest/get_company?id=58475"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbmc-software-senior-data-scientist-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fbmc-software-senior-data-scientist-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fbmc-software-senior-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/bmc-software-senior-data-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbmc-software-senior-data-scientist-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3967525}},{"tool":"search_jobs","arguments":{"company":"bmc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3967525},"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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