Data Scientist/ Senior Data Scientist

Aciesind; Chennai District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Aciesind is seeking a Senior Data Scientist in India to uncover insights from large datasets and guide end-to-end analytics projects. You will lead ML model development, data mining, and automation solutions while interfacing with clients to implement data-driven processes.

You will mentor junior team members, contribute to recruitment, and design AI solutions including chatbots and multi-agent systems. Strong Python/R skills and cloud platform experience are essential.

Qualifications

• Strong problem-solving abilities and excellent communication (oral and written).
• Experience in managing analytics projects from conception to deployment.
• Expertise in ML algorithms, including regression, classification, optimization, and neural networks.
• Solid knowledge of statistics, distributions, hypothesis testing, and experimental design.
• Proficiency in at least one data science toolkit.
• Hands-on experience with Python or R.

Responsibilities

• Understand business challenges and translate them into analytical problems.
• Organize and analyze data, identifying patterns and trends using ML techniques.
• Develop and optimize classifiers, predictive models, and automation solutions.
• Perform data mining and leverage state-of-the-art methods to extract valuable insights.
• Identify and integrate third-party data sources with internal company data as needed.
• Enhance data collection procedures to improve analytical capabilities.
• Process, cleanse, and validate data integrity for analysis.
• Conduct ad-hoc analyses and effectively present results to stakeholders.
• Create automated anomaly detection systems, reports, and dashboards for ongoing monitoring.
• Manage client communications, project delivery, and mentor junior team members.
• Contribute to team development by assisting in recruiting and training emerging talent.
• Translate business challenges into analytical problems and deliver actionable insights
• Develop and optimize predictive models, classifiers, and automation solutions using ML techniques
• Design and build AI solutions chatbots, RAG pipelines, workflow agents, and multi-agent systems
• Build Python-based APIs and microservices integrating LLMs (OpenAI, Anthropic, AWS, Azure, GCP)
• Develop retrieval, embedding, and inference pipelines optimized for performance and scalability
• Deploy and manage AI workloads across AWS, Azure, and GCP using IaC (Terraform, CloudFormation)
• Integrate monitoring/logging for model performance; follow AI governance and responsible AI practices
• Process, cleanse, and validate data; create automated anomaly detection systems and dashboards
• Manage client communications, mentor junior members, and contribute to recruiting efforts
• Participate in code reviews and architecture discussions; adhere to clean code practices

Skills

Python

R

ML algorithms

Statistics

Data visualization

SQL

Communication

Project management

Cloud AI/ML

LangChain

Education

Bachelor's in Engineering or CS

Master's degree (plus)

Tools

Tableau

Power BI

QlikView

D3.js

Docker

Kubernetes

Terraform

CloudFormation

LangChain

LangGraph

Job description

About the role.

As a Senior Data Scientist, you will uncover valuable insights hidden within vast amounts of data to help clients make smarter business decisions. Your expertise in data mining, statistical analysis, and predictive modeling will drive transformation, enabling the delivery of better products and services. You will play a key role in managing end-to-end analytics projects, guiding teams, and engaging with clients to integrate data-driven solutions into business processes.

Key Responsibilities.

• Understand business challenges, translate them into analytical problems, and deliver actionable insights.
• Organize and analyze data, identifying patterns and trends using machine learning techniques.
• Develop and optimize classifiers, predictive models, and automation solutions.
• Perform data mining and leverage state-of-the‑art methods to extract valuable insights.
• Identify and integrate third-party data sources with internal company data as needed.
• Enhance data collection procedures to improve analytical capabilities.
• Process, cleanse, and validate data integrity for analysis.
• Conduct ad-hoc analyses and effectively present results to stakeholders.
• Create automated anomaly detection systems, reports, and dashboards for ongoing monitoring.
• Manage client communications, project delivery, and mentor junior team members.
• Contribute to team development by assisting in recruiting and training emerging talent.
• Translate business challenges into analytical problems and deliver actionable insights
• Develop and optimize predictive models, classifiers, and automation solutions using ML techniques
• Design and build AI solutions chatbots, RAG pipelines, workflow agents, and multi-agent systems
• Build Python-based APIs and microservices integrating LLMs (OpenAI, Anthropic, AWS, Azure, GCP)
• Develop retrieval, embedding, and inference pipelines optimized for performance and scalability
• Deploy and manage AI workloads across AWS, Azure, and GCP using IaC (Terraform, CloudFormation)
• Integrate monitoring/logging for model performance; follow AI governance and responsible AI practices
• Process, cleanse, and validate data; create automated anomaly detection systems and dashboards
• Manage client communications, mentor junior members, and contribute to recruiting efforts
• Participate in code reviews and architecture discussions; adhere to clean code practices

Required Skills.

• Strong problem-solving abilities and excellent communication skills (both oral and written).
• Experience in managing analytics projects from conception to deployment.
• Expertise in machine learning algorithms, including regression, classification, optimization, and neural networks.
• Solid knowledge of statistical techniques, such as distributions, hypothesis testing, and experimental design.
• Proficiency in at least one data science toolkit.
• Hands-on experience with statistical/analytical tools such as Python or R.
• Familiarity with databases and query languages, including RDBMS (Oracle, MS SQL, etc.) and NoSQL/Big Data technologies (MongoDB, Cassandra, Hadoop, HBase).
• Competence in data visualization tools such as Tableau, Power BI, QlikView, or D3.js.
• Proficiency in MS Office tools (Excel, PowerPoint, Word).
• Strong analytical skills with an ability to collect, organize, and interpret complex data, identifying patterns for business insights.
• Programming & AI: Python, GenAI, LLMs, RAG, LangGraph, Autogen, LangChain
• Data Systems: Vector Databases, Knowledge Graphs, Retrieval Pipelines
• Cloud AI/ML: AWS (Bedrock, SageMaker), Azure (OpenAI, AI Studio), GCP (Vertex AI, Gemini)
• MLOps/LLMOps: Deployment, retraining, and evaluation pipelines
• DevOps: CI/CD, Docker, Kubernetes, event-driven systems
• ML Expertise: Regression, classification, optimization, neural networks, statistical techniques
• Databases: RDBMS (Oracle, MS SQL) and NoSQL/Big Data (MongoDB, Cassandra, Hadoop)
• Visualization: Tableau, Power BI, QlikView, or D3.js
• Strong problem-solving, communication, and end-to-end project management skills

Preferred Qualifications.

• 5+ years of hands-on experience in analytics, data science, or machine learning.
• Bachelor's degree in Engineering, Computer Science, or any field that emphasizes analytical thinking.
• Masters degree in a relevant field is a plus.

Core Competencies.

• Analytical, problem-solving, and automation-first mindset.
• Ability to implement technical solutions that deliver business value.
• Strong collaboration, communication, and learning skills.
• Interest in emerging GenAI, AI safety, and automation technologies