Senior Specialist - Data Sciences

Intellics Global Services; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Intellics Global Services seeks a Data Scientist to build AI tools and leverage large data sets to optimize products and processes. You will drive business results with data-driven insights and collaborate with a broad set of stakeholders to implement models and monitor outcomes.

You will work on developing custom models, applying ML techniques, and deploying GenAI solutions using cloud platforms, with a focus on Azure OpenAI services and data visualization for stakeholder communication.

Qualifications

• Bachelor's or Master's in Statistics, Mathematics, CS or related quantitative field.
• Experience with Python or R to manage data and draw insights from large datasets.
• Knowledge of ML techniques such as clustering, trees, neural nets, XGBoost, SVM, NN.
• Experience deploying ML models on cloud platforms and databases.
• Experience visualizing data for stakeholders.

Responsibilities

• Identify opportunities for data-driven business solutions with stakeholders.
• Mine and analyze data to optimize product development and business strategies.
• Develop custom models and algorithms for data sets.
• Use predictive modelling to improve customer experiences.
• Collaborate with cross-functional teams to implement models and monitor outcomes.
• Build predictive models and machine learning algorithms and visualize results.

Skills

Python

R

ML Algorithms

Data Visualization

SQL

Education

Bachelor's or Master's in Statistics/Mathematics/Computer Science or related quantitative field

Tools

Snowflake

Azure OpenAI

Vector DB

Llama Index

OpenAI Finetuning

Job description

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams

Responsibilities for Data Scientist

• Work with stakeholders to identify opportunities for leveraging data to drive business solutions
• Mine and analyse data from databases to drive optimization and improvement of product development and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences
• Coordinate with different functional teams to implement models and monitor outcomes
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machine learning algorithms
• Present information using data visualization techniques
• Good to have a knowledge of ML lifecycle and model governance
• Develop and Deploy advanced Generative AI large language models Azure Open AI Machine Learning and Deep Learning Models algorithms to enhance and or automate existing business processes with predictive and intelligent decision making content aggregation and contextualized insights
• Have experience in developing production level Gen AI solutions by utilizing Azure OpenAI services
• Familiar with prompt engineering retrieval augmented generation Llama index Vector DB and finetuning of opensource LLMs

Qualifications for Data Scientist

• Looking for someone with 68 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following softwaretools
• Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc
• Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications
• Knowledge and experience in statistical and data mining techniques GLMRegression Random Forest Boosting Trees text mining social network analysis etc
• Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modelling clustering decision trees neural networks etc
• Experience visualizingpresenting data for stakeholders
• Experience with Snowflake will be an added advantage
• Experience in deployment of machine learning models using cloud technologies

Skills

Mandatory Skills:

• Python - Data Science