Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Consultant II – Analytics driving marketing performance through data analysis and insights. Building predictive models and preparing client-ready presentations for leading brands.
Responsibilities
- Build predictive models and segmentation frameworks to support marketing initiatives
- Target the top performing segments in the upcoming direct marketing campaigns
- Conduct post-campaign analysis, ad-hoc deep dives, and performance reporting
- Translate business problems into analytical approaches and actionable solutions
- Prepare clear, concise client-facing decks and present findings to business audiences
- Deliver high-quality, accurate, and error-free analytical outputs
Requirements
- 2+ years of experience in analytics with a Master’s/PGDM (preferably in Analytics or related major)
- OR 3+ years of experience with a Bachelor’s degree (preferably in Analytics or related major)
- Strong hands-on skills in Python/R, MS Excel/ PowerPoint, SAS, and SQL (prior experience in SAS is preferred but not mandatory)
- Solid understanding and experience of machine learning techniques such as linear/logistic regression, decision trees, random forests, XGBoost, and customer segmentation
- Excellent communication skills with the ability to present complex technical concepts to business stakeholders
- Strong attention to detail, self-motivation, and a continuous learning mindset.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist leading complex analytics projects to drive data - informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.