Data Scientist at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, Classification, Regression, Recommender Systems, Clustering, Deep Learning, Communication, Presentation, Collaboration, Problem Solving, Data Analysis, Stakeholder Engagement, Diversity and Inclusion, Creative Thinking

Industry

Financial Services

Description

Design and develop end-to-end machine learning solutions to address business opportunities in Wealth Management, delivering tangible business outcomes. Participate in code reviews from both sides of the process. Proficiency in Python and strong knowledge of SQL. At least 1-2 years of professional experience in Machine Learning models development. Degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regression, recommender systems, clustering, deep learning. Experience communicating with business stakeholders. Confident in English (both written and spoken), with solid presentation and communication skills. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Speak to our recruitment team to find out more. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Design and develop end-to-end machine learning solutions to address business opportunities in Wealth Management. Participate in code reviews and deliver tangible business outcomes.