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Data Scientist - Machine Learning

People Pro Consulting
Others
2 - 5 Years
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4.7white-divider31+ Reviews

Posted on: 16/07/2025

Job Description

About the Opportunity :

UST is looking for a talented Data Scientist to join their growing analytics team. This role is ideal for early to mid-career professionals who are passionate about leveraging data science to drive business outcomes. You will work on diverse projects involving machine learning, data visualization, and predictive modelling to support strategic decision-making for global clients.


Key Responsibilities :


Data Modelling & Analysis :


- Build predictive and prescriptive models using machine learning techniques

- Perform exploratory data analysis and communicate findings to stakeholders


Machine Learning Implementation :


- Train, test, and deploy machine learning models using Python

- Optimize models for accuracy, performance, and scalability


Data Pre-processing & Feature Engineering :


- Clean and pre-process large datasets for modelling

- Design and implement feature engineering pipelines


Reporting & Visualization :


- Create dashboards and reports using tools like Power BI, Tableau, or Python libraries

- Translate data insights into actionable recommendations


Client Collaboration :


- Work directly with business teams and clients to gather requirements and deliver solutions

- Present technical results to non-technical stakeholders


Desired Skills :


- Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.)

- Strong foundation in machine learning algorithms and statistical techniques

- Experience with SQL, data wrangling, and working on structured/unstructured datasets

- Knowledge of model deployment, cloud platforms (AWS/GCP/Azure), and MLOps is a plus

- Strong problem-solving and communication skills


Eligibility Criteria :


Education :


- UG : B.Tech/B.E. in Computer Science, Statistics, Mathematics, or related fields

- PG : Preferred M.Tech / M.Sc / MCA in Data Science, Analytics, or related fields


The job is for:

Women candidates preferred
For women joining back the workforce
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