UST Designation
Requirement name

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at .

The Opportunity:

We are seeking a skilled Data Scientist proficient in Python and R to join our team. The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems. Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well-structured, and testable code.

Key Responsibilities:
Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis. 
Implement models using Python and relevant libraries such as scikit-learn, pandas, and numpy. 
Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods. 
Convert R code to Python and ensure seamless integration between the two languages. 
Utilize R for data manipulation and analysis using tidyverse, dplyr, and data.table. 
Optimize and enhance existing R code for performance and scalability. 
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. 
Follow best practices in software engineering to produce clean, manageable, and testable code. 
Stay updated with the latest industry trends and advancements in data science and machine learning.

Required Skills and Qualifications:
Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field.
6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) 
Proven experience as a Data Scientist or similar role with hands-on experience in Python and R. 
Strong knowledge of machine learning algorithms and statistical modeling techniques. 
Proficiency in Python libraries such as scikit-learn, pandas, numpy, and matplotlib. 
Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data.table. 
Experience with relational databases and SQL. 
Ability to convert R code to Python efficiently. 
Familiarity with software engineering principles and best practices. 
Strong problem-solving skills and attention to detail. 
Excellent communication and collaboration skills. 
Ability to manage multiple projects and meet deadlines.

Preferred Qualifications:
Experience with advanced R programming and code optimization. 
Knowledge of additional data science tools and frameworks. 

What we believe:

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. 

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.

• Comply with all Company policies and procedures