Himalayas Remote / WFH Teknologi & IT Full Time

Lead Data Scientist- BI & Data Strategy

Alliant Insurance Services, Inc.

Australia, Canada, Germany, United Kingdom, United States USD 130.000 – 140.000 Posted 2 days ago
Location Australia, Canada, Germany, United Kingdom, United States
Salary USD 130.000 – 140.000
Job Type Full Time · Remote
Country Germany

Job Description

Full details about the role and requirements

Yukerja Summary

The Lead Data Scientist- BI & Data Strategy role at Alliant Insurance Services, Inc. is curated from Himalayas (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.

Alliant Insurance Services is one of the nation’s largest and fastest-growing insurance brokerage and consulting firms. We operate through a network of specialized national platforms and local offices to offer our clients a comprehensive portfolio of solutions built on innovative thinking and personal service. Alliant is changing the way our clients approach risk management and benefits, so they can capitalize on new opportunities to grow and protect their organizations. More information is available on the company's website at: www.alliant.com.

SUMMARY

Responsible for serving as the senior technical leader for data science and machine learning initiatives, providing architectural guidance, technical direction, and mentorship across the organization. Leads complex AI and analytics programs, establishes technical standards and best practices, and partners closely with leadership to drive innovation and business value. Utilizes deep technical expertise and strong leadership capabilities to build scalable enterprise-grade AI solutions.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Helps define and advance the organization's AI, machine learning, and data science strategy.

Identifies and champions innovative AI solutions that deliver measurable business value.

Provides technical leadership and mentorship to the Data Science team across multiple initiatives.

Establishes and promotes standards, methodologies, and best practices for the Data Science team.

Supports talent development and technical growth within the organization.

Leads architecture and technical design efforts for enterprise AI, machine learning, and analytics solutions.

Defines solution patterns, frameworks, and technical standards for scalable AI development.

Acts as the primary technical lead on complex and high-impact initiatives.

Leads the design and implementation of agentic AI systems, intelligent assistants, and workflow automation solutions.

Establishes best practices for orchestration, tool integration, and autonomous AI workflows.

Leads the development of advanced machine learning models, predictive analytics solutions, and AI applications.

Oversees technical quality, model performance, and delivery across major initiatives.

Drives the transition of AI solutions from experimentation to production deployment.

Partners with engineering teams to establish standards for MLOps, monitoring, scalability, and operational excellence.

Leads strategic analytics and automation initiatives that improve organizational effectiveness and decision-making.

Develops frameworks and reusable capabilities that accelerate delivery of AI and analytics solutions.

Ensures adherence to AI governance, security, compliance, and responsible AI standards.

Provides technical oversight for model validation, risk management, and solution review processes.

Partners with business and technology leaders to shape AI initiatives and solution priorities.

Communicates technical strategy, architectural decisions, and business impacts to executive and operational stakeholders.

QUALIFICATIONS

EDUCATION / EXPERIENCE

Bachelor's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field; or an equivalent combination of education and experience

Master's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field

Seven (7) or more years of experience in Data Science, Machine Learning, Artificial Intelligence, Analytics, or related disciplines

SKILLS

Strong knowledge of machine learning, statistical modeling, predictive analytics, and AI solution architecture

Advanced proficiency in Python, SQL, and modern AI/ML frameworks

Strong problem solving and communication skills

Proven ability in leading enterprise-scale AI and machine learning initiatives

Ability to design and deploy production-grade AI solutions

Ability to mentor technical teams and lead cross-functional initiatives

We are proud to provide comprehensive, high quality employee programs to meet employees' needs now and in the future, including a very competitive financial package. We encourage you to explore what we have to offer.

For immediate consideration for this position, please click on the "Apply" button.

Alliant Insurance Services, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on their qualifications and ability without regard to race, color, religion, sex (including pregnancy, childbirth, breastfeeding, sexual orientation, and gender identity), national origin, ancestry, physical or mental disability, medical condition, marital status, age, genetic information, or status as a protected veteran, in accordance with applicable federal, state, and local laws, including California law.

Applicants are protected under Federal law from discrimination. If you need an accommodation to complete the application process or would like to review these materials in an alternative format, please reach out to Careers@Alliant.com

For more information on Alliant Insurance Service's benefits, please visit www.alliant.com/about/careers/benefits

Originally posted on Himalayas

Disclaimer: Yukerja.com is a job aggregator, not an employer. This listing is aggregated from Himalayas. Applications are processed on the official company or source site. We are not responsible for listing accuracy.

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