Specialist II - Data Science

UST; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

UST in Maharashtra, India, seeks an experienced Data Scientist to lead analytics projects, design data workflows, and apply ML, DL, and GenAI techniques. Strong Python/SQL programming and cloud proficiency are essential to drive AI initiatives across multiple business units.

The role emphasizes collaboration with SMEs, UX teams, and DevOps practices, including CI/CD, automation, and versioning, with an opportunity to work on time-series modeling and scalable ML solutions.

Qualifications

• 10+ years of professional experience in data science, analytics, or related business analysis.
• Strong Python and SQL programming skills.
• Hands-on with ML libraries and DL techniques including time-series, neural nets, SVMs, boosting.
• Experience with DevOps, CI/CD, automation, and version control.
• Familiar with cloud services (Azure, AWS, GCP) and GenAI/LLM prompts.

Responsibilities

• Excellent problem solving and analytical thinking with hands-on coding skills.
• Proficient in data fetch, data merge, data wrangling, EDA and feature engineering using Python and SQL.
• Drive client engagement and align the development team to a technical roadmap.
• Define and analyze systems problems; design and test standards and solutions.
• Design new analytical solutions by analyzing requirements and crafting workflows.
• Monitor progress, report findings, and maintain system protocols and user documentation.
• Maintain confidentiality of information and ensure data security.

Skills

Python

SQL

ML libraries

Time series

Neural nets

SVMs

Boosting

Deep learning

Prompt engineering

LLM/Gen AI

PySpark

DevOps CICD

Cloud services

Job description

Role Description

ROLE: Data Scientist REQUIREMENT: Professional experience of 10+ years in business analysis, requirement gathering, solution workflow design for Data Science AI/ML/Analytics project Experience in programming skills in Python and SQL Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python Experience in Deep learning techniques Excellent Communication skills to effectively collaborate with business SMEs, UX team Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service Experience in LLM/Gen AI – Prompt Engineering, RAG and parameter hypertuning Experience in Pyspark will be an added advantage

RESPONSIBILITIES:

• Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills
• Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering Python, SQL Skills with working knowledge of machine learning algorithms
• Drive client engagement fully and align the development team towards a technical roadmap
• Implements analytical requirements by defining and analysing system problems; designing and testing standards and solutions
• Develops solution by preparing and evaluating alternative workflow solutions
• Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats
• Designs new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications
• Improves systems by studying current practices; designing modifications
• Recommends controls by identifying problems; writing improved procedures
• Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget
• Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
• Maintains system protocols by writing and updating procedures
• Provides references for users by writing and maintaining user documentation; providing help desk support; training users
• Maintains user confidence and protects operations by keeping information confidential
• Prepares technical reports by collecting, analysing, and summarizing information and trends
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies