YASH Technologies
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Associate Data Scientist - AI/ML 1 Job
Date: Apr 3, 2026
Job Requisition Id: 64426
Location:
Hyderabad, IN
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire AI/ML Professionals in the following areas :
Experience
1-3 Years
Job Description
- Perform as an individual contributor with high degree of accountability with minimum assistance
- Presents data impactfully with the help of visualization tools
- Discover trends and patterns using Data Science Tools.
- Work in python/R to develop core ML solutions with data congestion, data pre-processing, data cleaning, feature engineering, feature selection, Model development and model tuning
Required Technical/ Functional Competencies
Domain/ Industry Knowledge:
- Basic knowledge of customer's business processes and relevant technology platform or product
- Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
Requirement Gathering And Analysis:
- Basic knowledge of requirement management processes and requirement analysis process, tools and methodologies.
- Able to prototype/ design a prototype of an example system to be demonstrated to stakeholders and extract functional/ non-functional requirements from business requirements and document a system/ software requirements specification for low to medium complexity scenarios.
Product/Technology Knowledge:
- Working knowledge of technology product/platform standards and specifications.
- Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
- Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.
Analytics Solution Design:
- High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.
- Able to identify the causes of errors and their potential solutions with some support.
Tools & Platform Knowledge:
- Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
Mathematical & Statistical Analysis:
- Understanding basic mathematical concepts (e.g., algebra, calculus) and introductory statistical concepts (mean, median, standard deviation).
- Able to perform basic mathematical calculations and conduct simple statistical analyses with guidance.
Data Visualization:
- Basic understanding of common visualization types (e.g., bar charts, line charts).
- Can create simple visualizations using basic tools (e.g., Excel, basic charting libraries).
Data Modeling & Evaluation:
- Basic understanding of data modelling concepts.
- Familiarity with basic statistical measures and evaluation metrics.
- Can create simple data models with guidance.
- Can use basic evaluation metrics to assess model performance.
Feature Engineering:
- Basic understanding of data types and structures.
- Familiarity with common programming languages (e.g., Python, R).
- Awareness of basic statistical concepts.
- Ability to manipulate data using libraries like Pandas or NumPy.
- Execute simple feature transformations, such as scaling and normalization.
- Basic awareness of the importance of feature selection.
Required Behavioral Competencies
Accountability:
- Takes ownership for and ensures accuracy of own work, meets deadlines, and asks questions about possible gaps to ensure clarity of ownership.
Agility:
- Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.
Collaboration:
- Participates in team activities and reaches out to others in team to achieve common goals.
Customer Focus:
- Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.
Communication:
- Effectively communicates in written and oral form, well-organized thoughts to others. Speaks openly and honestly with all employees.
Drives Results:
- Demonstrates a "can do" attitude and is willing to stretch self to achieve and exceed defined goals/targets.
Certifications
Good To Have
AZ-900: Microsoft Azure Fundamentals, AWS Certified Cloud Practitioner, ITIL V4 Foundation, GCP Associate
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture
Apply now »
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