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
- Data Scientist leveraging expertise in AI and ML for analyzing sales trends and improving content offerings. Collaborating with cross-functional teams while based in Reykjavik or remotely.
Responsibilities
- Build and optimise ML models to analyse sales trends, improve content offerings and optimise pricing processes.
- Evaluate model performance and iterate to improve accuracy and business impact.
- Explore new AI approaches by evaluating emerging ML and AI techniques and identifying opportunities to apply them to business challenges.
- Partner with data engineers and analysts to build data pipelines and deploy models into production, ensuring they run reliably at scale.
- Analyse data to uncover growth opportunities and surface insights.
- Collaborate cross-functionally with product managers and engineers to integrate solutions into our existing pipelines and services.
Requirements
- Degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or a related field like mathematics and statistics.
- 3+ years of experience in the field, including deployment and monitoring ML models.
- Proficiency in Python, experience with ML, AI frameworks and platforms.
- Strong analytical and problem-solving skills, with a passion for tackling challenging and ambiguous problems.
Benefits
- Flexibility in terms of when and where to work.
- Competitive salary.
- Regular social events and Hackathons.
- Annual remote trip where the entire company goes and works at a new location for a week or two.
- Home internet and mobile are paid for.
- Flexible holidays — you decide when and how long you would like to take off.
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.