Data Science - Manager

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

Benefits offered by this job

Opportunity to work with one of the Big 4's in India

Job summary

A leading technology company in India is looking for a Data Scientist with 10-12 years of experience. The role involves developing analytical solutions, working with stakeholders, and creating Proof of Concepts. Candidates must possess a Bachelor's degree in Science or Engineering, along with strong analytical and programming skills in Python and R. This is a full-time role at the mid-senior level, offering opportunities to collaborate with one of the Big 4's in India.

Qualifications

• 10-12 years of work experience as a Data Scientist.
• Experience producing high-quality code, tests, and documentation.
• Strong business focus with analytical and problem-solving skills.

Responsibilities

• Work with business stakeholders to understand key business questions.
• Create Proof of Concepts (POCs) and guide production deployment.
• Develop analytical and modelling solutions using Python and R.
• Make solution recommendations that balance speed to market with analytical rigor.
• Explore design options, assess efficiency, and develop approaches to improve robustness and rigor.
• Develop analytical and modelling solutions using commercial and open‑source tools such as Python, R, TensorFlow.
• Formulate model‑based solutions by combining machine learning algorithms with techniques such as simulations.
• Design, adapt, and visualise solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Create algorithms to extract information from large, multiparametric data sets.
• Deploy algorithms to production to identify actionable insights from large databases.
• Compare results from various methodologies and recommend optimal techniques.
• Develop and embed automated processes for predictive model validation, deployment, and implementation.
• Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science.
• Ensure solutions exhibit high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment.
• Lead discussions at peer review and use interpersonal skills to positively influence decision making.
• Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions on emerging practices.
• Facilitate cross‑geography sharing of new ideas, learnings, and best practices.

Skills

Analytical skills

Problem-solving skills

Programming knowledge

Feature engineering

Hyperparameter optimisation

Statistical concepts

Agile principles

Hands-on coding

Education

Bachelor of Science or Bachelor of Engineering

Tools

R

Python

SQL

Hadoop/Hive

Scala

Azure Data Factory

Azure ML

Databricks

Scala

Langchain

Job description

Base Pay Range

Data Science + Gen AI with below mandatory skills: Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud, Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision.

Experience Range: 10 to 12 years.

Responsibilities

• Work with business stakeholders and cross‑functional SMEs to deeply understand business context and key business questions.
• Create Proof of Concepts (POCs) or Minimum Viable Products (MVPs) and guide them through production deployment and operationalization.
• Influence machine learning strategy for digital programs and projects.
• Make solution recommendations that balance speed to market with analytical rigor.
• Explore design options, assess efficiency, and develop approaches to improve robustness and rigor.
• Develop analytical and modelling solutions using commercial and open‑source tools such as Python, R, TensorFlow.
• Formulate model‑based solutions by combining machine learning algorithms with techniques such as simulations.
• Design, adapt, and visualise solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Create algorithms to extract information from large, multiparametric data sets.
• Deploy algorithms to production to identify actionable insights from large databases.
• Compare results from various methodologies and recommend optimal techniques.
• Develop and embed automated processes for predictive model validation, deployment, and implementation.
• Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science.
• Ensure solutions exhibit high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment.
• Lead discussions at peer review and use interpersonal skills to positively influence decision making.
• Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions on emerging practices.
• Facilitate cross‑geography sharing of new ideas, learnings, and best practices.

Qualifications

• Bachelor of Science or Bachelor of Engineering at a minimum.
• 10-12 years of work experience as a Data Scientist.
• Strong business focus with analytical and problem‑solving skills, and programming knowledge to quickly cycle hypothesis through the discovery phase of a project.
• Advanced skills with statistical and programming software such as R, Python, and data querying languages such as SQL, Hadoop/Hive, Scala.
• Good hands‑on skills in feature engineering and hyperparameter optimisation.
• Experience producing high‑quality code, tests, and documentation.
• Experience with Microsoft Azure or AWS data management tools such as Azure Data Factory, data lake, Azure ML, Synapse, Databricks.
• Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimisation and forecasting techniques, and/or deep learning methodologies.
• Proficiency in statistical concepts and machine learning algorithms.
• Good knowledge of Agile principles and process.
• Ability to lead, manage, build, and deliver customer business results through data scientists or professional services teams.
• Ability to share ideas compellingly, summarise and communicate data analysis assumptions and results clearly.
• Self‑motivated and proactive problem solver who can work independently and in teams.

Benefits

Work with one of the Big 4's in India.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industries

IT Services and IT Consulting