{"id":1981421,"url":"https://alion.io/job/lendi-group-senior-data-scientist-applied-machine-learning","title":"Senior Data Scientist – Applied Machine Learning","company":{"id":690322,"name":"Lendi Group","domain":"lendigroup.com.au","url":"https://alion.io/company/lendigroup","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":190000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Feature Store","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scala","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-06T23:20:29Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-13T17:16:50Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Lendi Group is transforming the way Australians find, buy and own property. As the company behind Lendi - Australiaʼs original and #1 digital mortgage brand - and the iconic Aussie franchise network, we combine technology, distribution and deep property expertise to support customers across their entire property journey.\nPowered by our proprietary AI platform and a national network of 1,300 brokers and 220 retail stores, Lendi Group now manages a $107B+ loan book and continues to set the pace in the industry, recently recognised as Aggregator of the Year.\nThrough our integrated Find-Buy-Own ecosystem and industry-leading Agentic platform, weʼre redefining how property decisions are made - delivering greater confidence, speed and simplicity for customers.\nThis role sits at the centre of that next phase of growth.\nTo learn more about life at Lendi Group check out our blog:https://www.lendi.com.au/inspire/category/life-at-lendi/\nInnovation at Our Core - We challenge the status quo and push boundaries to create better solutions, with a goal of becoming AI-native by June 2026.\nWork with the Best - Collaborate with some of the brightest minds in fintech, financial services, and strategy.\nMake an Impact - Contribute to meaningful projects that shape our business and the future of property finance.\nGrow & Evolve - Develop your skills and advance your career in a fast-moving, purpose-driven environment.\nAbout the role\nLendi Group is building data and AI capabilities that help customers make better decisions across home lending and related property services.\nAs a Senior Data Scientist, you will turn complex customer and business problems into practical, production-ready machine-learning solutions. You will work across propensity modelling, personalisation, growth, retention and other applied data-science use cases, using techniques such as classification, regression, experimentation and predictive analytics.\nThis is a hands-on role covering the full lifecycle: framing the problem, understanding the data, developing features and models, deploying solutions, monitoring performance and improving them over time. You will work closely with data engineers, product managers, analysts, software engineers and business stakeholders to deliver measurable outcomes.\nGenerative and agentic AI will form part of the team’s evolving toolkit, where it is the right solution to the problem. The core of the role is strong applied machine learning and sound data-science judgement.\n Translate customer and business problems into clear analytical and machine-learning objectives.\nWork with large datasets, event data and feature stores to identify useful signals and build predictive features.\nDevelop, evaluate and improve models for use cases such as propensity, personalisation, growth and retention.\nApply appropriate techniques across classification, regression, experimentation, forecasting and other applied data-science problems.\nTake models through the full product lifecycle, including deployment, automation, monitoring, retraining and ongoing maintenance.\nHelp improve data quality, feature pipelines, model monitoring, drift detection and ML Ops practices.\nWork with product managers and business stakeholders to define success measures and translate model outputs into action.\nExplain technical approaches, assumptions and results clearly to technical and non-technical audiences.\nCollaborate with data, software and AI engineering teams to review solutions, improve coding standards and share knowledge.\nContribute to technical documentation, design discussions and delivery planning.\nWork with external partners or vendors where required to deliver the right solution.\n Commercial experience as a Data Scientist, Applied Scientist, Machine Learning Engineer or in a closely related role.\nStrong Python skills and experience writing maintainable, tested and production-quality code.\nStrong foundations in probability, statistics, model evaluation and machine-learning fundamentals.\nPractical experience with classification, regression, feature engineering and experimentation.\nExperience developing, deploying and maintaining machine-learning models in a cloud environment such as Databricks, AWS SageMaker, Azure ML or an equivalent platform.\nAn understanding of data pipelines, feature stores, data quality, model monitoring, drift and retraining.\nExperience working across the full model lifecycle, from problem definition through to production and ongoing improvement.\nThe ability to work effectively with product managers, engineers, analysts and senior business stakeholders.\nA collaborative approach to code reviews, documentation, knowledge sharing and continuous improvement.\nGood judgement about when to use a simple, explainable approach and when a more advanced technique is justified.\nIt would be useful if you also have\nExperience with generative AI, large language models or agentic AI applications.\nExperience with recommendation systems, personalisation or customer propensity modelling.\nExperience with natural language processing, time-series forecasting or financial modelling.\nExperience with MLflow, Git-based CI/CD, dbt or related data and ML engineering practices.\nExperience with R or Scala.\nExperience presenting data and model outputs using tools such as Streamlit, Power BI or Tableau.\n Lendi Group teams operate across Australia and the Philippines. Bringing together diverse expertise, innovative technology and a customer-first approach, our teams work seamlessly to simplify the property journey, helping Australians find, buy and own property with confidence.\nWe support our people in a variety of ways, but a few of the benefits that our people rave about include:\nA vibrant, relaxed, yet professional culture.\nHybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.\nA holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.\nGenerous paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.\nAn additional week’s Loyalty Leave each year after reaching 3 years’ service.\nWellness initiatives with a strong focus on psychological safety.\nWe’re committed to fostering a diverse and inclusive community at Lendi Group. We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace.\nOur culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.\nThis is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey.\nReady to contribute to Lendi Group’s next chapter? Apply now and be part of something big!\n#lendigroup #LI-AMH1 #LI-hybrid","description_format":"text","description_chars":7093,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work","Parental leave"],"hiring_locations":[{"name":"Australia","iso":"AU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-06T23:45:38Z"}],"visa":[],"liveness":{"score":58,"band":"ok","label":"Likely open","p_open":1,"p_active":0.585,"p_room":1,"age_days":6,"expected_fill_days":18,"reasons":["conf:0","stale_co","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lendi-group-senior-data-scientist-applied-machine-learning","json_url":"https://alion.io/job/lendi-group-senior-data-scientist-applied-machine-learning.json","meta":{"generated_at":"2026-10-13T19:42:12Z","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":30163,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":690322},"rest":"https://alion.io/mcp/rest/get_company?id=690322"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flendi-group-senior-data-scientist-applied-machine-learning"},{"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%2Flendi-group-senior-data-scientist-applied-machine-learning"},{"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%2Flendi-group-senior-data-scientist-applied-machine-learning"},{"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/lendi-group-senior-data-scientist-applied-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flendi-group-senior-data-scientist-applied-machine-learning"}]}