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Machine Learning Lead Analyst

MFS Investment Management

MFS Investment Management

Software Engineering, IT
Boston, MA, USA
Posted on Saturday, January 13, 2024

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.


The Machine Learning discipline is focused on developing the tools and supporting the delivery of process improvement and engineering through Intelligent Automation solutions. The Machine Learning Lead Analyst will contribute to the analysis, evaluation, programming and testing of automated solutions.


  • Design, develop and test software robots and ML algorithms leveraging Robotic Process Automation, intelligent data extraction and Artificial Intelligence (AI)/Machine Learning technologies.

  • Collaborate with business partners and team members to identify, evaluate, and make recommendations on business process automation requirements.

  • Propose enhancements to current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools

  • Plans and coordinates the integration, analysis and programming of multiple automation solutions.

  • Facilitate the gathering and documentation of functional requirements together with business process owners and subject matter experts.

  • Coordinate the full development lifecycle, from analysis to development & testing until golive and aftercare.

  • Monitor, update and troubleshoot production digital workers.

  • Maintaining knowledge of industry leading practices in RPA/IPA, generative AI and machine learning.


  • Experience with developing automated workflows

  • Experience with Robotic Process Automation tools

  • Experience with Process Analysis, Design, Implementation and System Testing

  • Solid Problem-Solving and Analytics skills to understand complex requirements, define advanced technical/functional solutions, troubleshoot issues, and identify fixes.

  • 5-6 years’ experience with 2+ years of experience working with RPA/Machine learning.

  • Proven and demonstrable experience writing simple to complex code in RPA platforms such as Automation Anywhere, Xceptor, Blue Prism, UI Path, Automation Anywhere, DataRobot, Dataiku

  • Knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.




At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others.

What we offer:

  • Generous time-off provided: including "Responsible time off" for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time
  • Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave
  • Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions
  • Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more
  • Life & Disability Benefits: Company-paid basic life insurance and short-term disability
  • Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs

MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.

MFS is an Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document and Pay Transparency Nondiscrimination Provision, linked for your reference.