{"id":2070680,"url":"https://alion.io/job/tal-data-scientistdata-analyst-customer-retention-2","title":"Data Scientist/Data Analyst – Customer retention","company":{"id":7066,"name":"TAL","domain":"tal.com.au","url":"https://alion.io/company/tal","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T04:54:55Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T22:39:48Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Shape the future of insurance with innovative ideas and technologies that improve the lives of millions of Australians\nTake advantage of well-being initiatives designed to support your mental and physical health, ensuring a balanced lifestyle\nEnjoy work-life balance with flexible working options, and well-being initiatives that prioritise your health\nReimagine Your Career with TAL\nFor over 150 years, we've never stopped finding better ways to protect Australians. As one of the nation’s leading life insurers, we’re driven by ambition and a sense of purpose. Our responsibility to our customers, partners, and the broader community is at the heart of everything we do.\nAt TAL, we’re empowered to experiment, innovate, and create better products and services. Backed by Daiichi Life, one of the world’s largest insurers, we deliver financial security to millions of Australians through our care and expertise. Bring your curious mind and ambition to shape our industry and help us become the progressive, digitally enabled, leading insurer we aim to be.\n Join TAL’s Individual Life business as a Data Scientist in the Actuarial Pricing and Value team, where your work will help shape smarter, more sustainable outcomes for our customers and business. In this role, you’ll use data, analytics and emerging technology to uncover insights that support customer retention, commercial decision-making and long-term value across TAL’s Retail Advised and Direct Life Insurance portfolios. By helping us better understand customer needs and strengthen the way we price, retain and support our customers, you’ll contribute to TAL’s broader purpose of helping Australians protect the choices, options and freedoms that matter most. This is a meaningful opportunity to turn complex data into insight that makes a real difference for customers, partners and the future of life insurance.\nThis role must be based in Sydney.\nIn this role you will:\nBuild scalable data assets that power retention insights, modelling and strategic decision-making.\nDeliver intuitive dashboards and reporting solutions that enable faster, data-led decisions.\nTranslate complex analysis into clear insights and recommendations for business stakeholders.\nModernise analytics processes through automation, AI and cloud-based technologies.\nApply advanced analytics and emerging technologies to improve customer retention outcomes.\nChampion responsible data and AI practices that support reliable, compliant analytics solutions.\n Bring tertiary qualifications in Data Science, Statistics, Mathematics, Actuarial Studies, Computer Science, or a related quantitative field.\nHave at least 2 years’ industry experience in a data, analytics or related quantitative role.\nInsurance industry experience highly regarded\nUse strong SQL skills to prepare, explore and transform data into meaningful insights.\nApply Python and/or R to develop analytical, statistical or machine learning models.\nCreate clear dashboards and reporting solutions using Power BI or similar tools.\nCommunicate complex insights clearly with both technical and non-technical stakeholders.\n TAL is one of Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re proud to be:\nAn Inclusive Employer - Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency from 2014 to 2025 and 2023 to 2026 Bronze Tier Status within the Australian Workplace Equality Index\nDiversity Champions - Member of Diversity Council Australia, Australian Disability Network, Pride in Diversity and Champions of Change\nReconciliation Advocates - Read our Innovate Reconciliation Action Plan.\nWe welcome applications from people with diverse experiences, perspectives and backgrounds including Aboriginal and Torres Strait Islander people, caregivers, individuals with disability/ies, people from culturally diverse backgrounds and the LGBTQ+ community.\nNeed adjustments during the recruitment process? Let our team know by getting in touch with us here. -we’re here to support you.\nYou’re always accountable for your actions. You never give up. You strive to find the best outcomes for customers and partners. And you value working together to find the best solutions for problems.\nAs part of the recruitment process, there are several checks which may be conducted to demonstrate your eligibility for a role at TAL including Criminal History, Bankruptcy, Entitlement to Work, Regulatory and Reference Checks.\n#LI-Hybrid\nEveryone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyone’s responsibility.\nIf you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.","description_format":"text","description_chars":5002,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Flexible schedule","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-10-08T06:45:53Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":19,"reasons":["conf:0","velocity","win:early","comp:junior"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/tal-data-scientistdata-analyst-customer-retention-2","json_url":"https://alion.io/job/tal-data-scientistdata-analyst-customer-retention-2.json","meta":{"generated_at":"2026-10-11T22:45:25Z","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":12943,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":7066},"rest":"https://alion.io/mcp/rest/get_company?id=7066"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftal-data-scientistdata-analyst-customer-retention-2"},{"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%2Ftal-data-scientistdata-analyst-customer-retention-2"},{"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%2Ftal-data-scientistdata-analyst-customer-retention-2"},{"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/tal-data-scientistdata-analyst-customer-retention-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftal-data-scientistdata-analyst-customer-retention-2"}]}