Principal Data Scientist

Description Natixis Investment Managers is among the world’s largest asset management firms. Powered by the expertise of more than 15 specialized investment managers globally, we deliver proactive solutions that help clients pursue better outcomes in all markets. The Distribution Enablement Group (DEG) is an expanding team within Natixis. Our group encompasses Distribution Execution Consulting & Strategy, Distribution Platform Enablement, Data Science & AI, and Data & AI Governance. Our core mission is to drive business growth and improve efficiency by extracting insights from data and streamlining the use of data & technology. We partner closely with Sales, Marketing and other Business teams to simplify & automate workflows, develop actionable analytic reports, generate leads, and more.

As a Principal Data Scientist within the Distribution Enablement Group, you will be a technical and strategic leader who addresses business goals through data, automation, and AI. You will collaborate closely with Business partners and IT to design & deliver solutions that support distribution strategy and execution. From building and maintaining analytic- and data- pipelines to powering initiatives such as client lead scoring for Sales, your work will help simplify and evolve workflows across Business teams. Partnering with international colleagues, you will help shape technical architecture, standards, and best practices. As both a hands‑on contributor and mentor, you will support skill development across the team and help the group continue to grow, mature, and expand its impact. This position is based in our Boston office and follows a hybrid work model. Team members currently work in the office a minimum of three days per week, with an anticipated transition to four in-office days per week beginning in 2027. We value the flexibility of hybrid work while recognizing the benefits of in-person collaboration, relationship building, and team engagement. What you will do: Partner with Sales, Marketing, Finance and other Business teams to understand their requirements, and translate their goals into scalable data solutions & automated workflows. Partner with IT to deliver on Business objectives, including production code deployments, data collection & integration, front-end user experience, and back-end infrastructure. Design, build and deploy AI-powered and agentic workflows, including multi-agent systems, that automate and augment Business processes, with appropriate orchestration, guardrails and human oversight. Develop, deploy, and maintain data and analytics pipelines that support business objectives, analytic processes, and interactive dashboards Monitor, troubleshoot and optimize analytic and data processes to ensure reliability, performance and availability. Contribute to technical architecture, documentation and governance throughout the Business related to data, automation and AI. Support the incorporation and responsible use of AI across Business workflows and analytic use cases. Continually investigate new tools and techniques, as well as emerging standards. What you will bring: Required 7+ years of experience in data science, analytics engineering, or a related role, preferably within financial services or another highly regulated industry. Strong proficiency in Python and SQL, with experience using Git for version control and collaboration. Demonstrated experience applying AI to automation pipelines, with attention to reliability, guardrails and responsible use Demonstrated experience implementing machine learning solutions, including model development, deployment, and ongoing monitoring in production environments. Solid understanding of machine learning techniques, statistical analysis, and data modeling concepts. Experience leveraging cloud platforms or remote compute environments to support data processing and analytics workloads. Excellent written and verbal communication skills, with the ability to translate complex technical concepts for non-technical stakeholders. Proven ability to manage multiple priorities, meet deadlines, and remain adaptable in fast-changing environments. Strong time management skills, attention to detail, and a resourceful, problem-solving mindset. Preferred Experience with enterprise data science platforms such as Dataiku (or similar tools). Familiarity with the AWS ecosystem, including services such as Redshift, S3, EC2, Lambda, and CloudWatch. Experience with workflow orchestration tools (e.g., Airflow). Experience using dbt for analytics engineering and data transformations. Familiarity with workflow automation tools such as Microsoft Power Automate. Experience working with CRM platforms, such as Salesforce. Experience integrating and consuming data via REST APIs. Who we are: We put the best interests of our clients, employees, communities, and environment first in everything we do. We’re dedicated to fostering a culture of collaboration, diversity, and inclusion that supports employee growth. We believe this creates equal opportunities for our employees — and better outcomes for our clients and communities. We offer a robust benefits package designed to integrate life and work and to support our employees. Benefits include, but are not limited to; comprehensive medical, dental and vision insurance, paid time off, 401k plan, tuition reimbursement, student loan repayment program, wellness benefits and volunteer programs*. #NatixisIMCulture In accordance with the Massachusetts Wage transparency act, the expected annual base salary for this Boston, MA, based position is $155,000 - $211,000. Actual annual base salaries may vary based on factors including but not limited to education, training, experience, and other job-related factors. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses and other Natixis sponsored benefit programs. Natixis Investment Managers is an equal opportunity employer and does not discriminate in recruiting, hiring, training, promotion or other terms, conditions and privileges of employment on the basis of race, color, age, national origin, ancestry, religion, sex (including pregnancy), sexual orientation, gender identity, genetic information, military or veteran status, physical or mental disability, or any other status protected by law. Natixis Investment Managers does not charge fees to participate in the interview process or for employment equipment and does not send employment offers through social media channels. We take security and privacy seriously. If you have been contacted by someone claiming to represent Natixis Investment Managers and are unsure about the legitimacy of the communication, please verify the contact details with Natixis Investment Managers directly. *Benefits eligibility is for permanent employees of Natixis Investment Managers. Interns, contractors and temporary workers are not eligible for benefits.