Life Insurance Jobs in Seattle, WA

42,165 open positions · Updated daily

Looking for Life Insurance jobs in Seattle, WA? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the Seattle, WA area.

Machine Learning Engineer, Risk Data Mining - USDS

Company: TikTok

Location: Seattle, WA

Posted Jan 23, 2025

TikTok U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., dedicated to enhancing data protection policies and content assurance protocols. The Platform and Community Integrity (PaCI) team within USDS focuses on protecting U.S. TikTok users, securing platform health, and maintaining community experience authenticity. They aim to minimize damage from inauthentic behaviors, covering various risk areas. The role involves building machine learning solutions to mitigate business risks, improving modeling infrastructures, and upleveling risk machine learning excellence. TikTok values inclusivity, celebrating diverse voices, and creating an environment reflecting its global community. The position offers a competitive salary range of $184,300 - $337,250 annually, along with comprehensive benefits.

Machine Learning Engineer, App Ads and Gaming

Company: TikTok

Location: Seattle, WA

Posted Jan 23, 2025

TikTok, a leading platform for short-form mobile video, is seeking a Machine Learning Engineer for its App Ads & Gaming team. The role involves developing large-scale App Ads delivery systems, exploring multi-stage ranking models, and partnering with various teams to launch new products. The ideal candidate should have a degree in Computer Science or related field, 3+ years of experience in machine learning for ranking, and strong coding skills in Python/C++. TikTok values inclusivity and diversity, offering competitive compensation and benefits, including medical, dental, vision insurance, 401(k) with company match, and paid parental leave.

Data Engineering Manager

Company: Accenture

Location: Seattle, WA

Posted Jan 23, 2025

Applied Intelligence, a global leader in data science and AI, is seeking a Data Engineering professional. The role involves leading a team in digital transformation, designing Big Data solutions, and collaborating with research teams on deep learning and NLP problems. The ideal candidate is a creative, analytical problem solver with strong leadership skills and expertise in Spark/DataBricks, cloud platforms, and SQL. Bonus points for machine learning experience and cloud platform certification.

Machine Learning Engineer, Recommendation, E-Commerce Alliance

Company: TikTok

Location: Seattle, WA

Posted Jan 23, 2025

TikTok, a leading platform for short-form mobile video, is seeking a machine learning expert with 3+ years of industry experience. The role involves building large-scale algorithms to model creator interests, optimize product recommendations, and analyze user behavior. The successful candidate will support TikTok's e-commerce growth, serving millions of merchants and enhancing user shopping experience. TikTok values inclusivity, offering competitive compensation, benefits, and a commitment to reasonable accommodations during recruitment.

Data Science Consultant

Company: Accenture

Location: Seattle, WA

Posted Jan 23, 2025

Applied Intelligence, the world's largest team of data scientists, data engineers, and AI experts, is seeking an expert data scientist with a focus on AI. The role involves developing custom models, prototyping products, and staying updated on new technologies. Qualifications include a minimum of 2 years of experience in advanced statistical modeling, machine learning, and data science tools. A PhD is preferred. The company values diversity and inclusion, and offers competitive compensation. The role is currently remote due to COVID-19 restrictions.

Internal Auditor

Company: Addison Group

Location: Bellevue, WA

Posted Jan 23, 2025

A Fortune 500 company in Issaquah, WA is seeking an Internal Auditor with at least 1 year of progressive experience. The role offers a great work-life balance, high visibility, and exposure to various company departments. Responsibilities include planning audits, evaluating risk, reviewing controls, and ensuring compliance with policies. CPA, CIA, or CMA certifications are preferred along with a Bachelor's degree and strong communication skills.

SAP eWM Supply Chain Manager

Company: Accenture

Location: Seattle, WA

Posted Jan 23, 2025

Accenture's SAP practice in the West is highlighted, emphasizing their innovative approach using design thinking, agile methodologies, and advanced tech for SAP automation and AI. They aim to make businesses more proactive, predictive, and productive through intelligent enterprise solutions. Their partnership with SAP includes developing a new Responsible Production and Design solution for sustainable business practices. Accenture values training in S/4 HANA and other cloud products, offering dynamic work opportunities in the western region with top clients across industries. They seek transformation experts with SAP experience, particularly in Inventory Management/Warehouse Management, for supply chain roles. The company is committed to diversity, inclusion, and equal employment opportunities.

Oracle HCM West Practice Leader

Company: Accenture

Location: Seattle, WA

Posted Jan 23, 2025

Accenture's Oracle practice is seeking a seasoned professional with at least 5 years of Oracle Cloud HCM implementation experience, leadership over a 50-people services team, and pre-sales experience. The role involves helping clients understand leading business processes, leading project teams, and managing client relationships. The ideal candidate should have an Oracle Cloud HCM Certification, a proven track record in delivering high-performing Oracle HCM Cloud projects, and be an Oracle HCM ecosystem leader. Accenture is committed to diversity and inclusion, and offers competitive compensation with a range of $125,000 - $207,399 for the Colorado-based role.

SAP Finance Consultant - Japanese Language

Company: Accenture

Location: Seattle, WA

Posted Jan 23, 2025

Accenture's SAP practice in the West is highlighted, emphasizing their innovative approach using design thinking, agile methodologies, and advanced tech for SAP automation and AI. They aim to make businesses more proactive, predictive, and productive through the intelligent enterprise concept. Accenture has partnered with SAP to develop a new Responsible Production and Design solution for sustainable business practices. The role involves building SAP ERP technology solutions for clients' Finance functions, with a focus on S/4HANA, Business Planning, CFIN, and FI/CO. The ideal candidate should have proficiency in Japanese, minimum 2 years of SAP Finance experience, and a Bachelor's degree. Accenture values diversity and inclusion, and is committed to providing equal employment opportunities.

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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