CrawlJobs Logo

Data Scientist

India, Chennai Employment contract · Job Posted May 30, 2026
Apply Position
Job Link Share

Job Description

The Data Scientist role at NTT DATA involves leveraging data science and machine learning expertise to drive insights and develop solutions for complex business challenges. Candidates should have a strong background in statistics, data visualization, and experience with Python and R. A master's degree is preferred, along with at least 4 years of relevant experience in a consulting environment.

Job Responsibility

  • Driving new data insights to uncover business opportunities & revenue streams
  • Having a firm understanding of statistics and data visualization for communication
  • Understanding of business growth areas & how to utilize important data
  • Being responsible for identifying new analytic trends/data needs and repeatable analytic solutions
  • Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
  • Identifying, analyzing and interpreting trends or patterns in complex data sets using various supervised and unsupervised ML algorithms
  • Being experienced in Data Wrangling and Dynamic Model Tuning
  • Working on projects leveraging expertise in data science, artificial-intelligence and machine learning
  • Assisting in breaking down complex business problems, developing solutions, and delivering with high client satisfaction
  • Conducting market research, developing a point-of-view and communicating effectively back to clients and stakeholders
  • Bringing innovative thinking, resourcefulness and creativity to achieve successful client outcomes
  • Establishing relationships with clients at appropriate levels
  • Working with data sets of varying degrees of size and complexity including both structured and unstructured data
  • Piping and processing massive data-streams in distributed computing environments
  • Implementing batch and real-time model scoring
  • Assembling large, complex data sets that meet functional/non-functional business requirements
  • Applying business knowledge to analyze data, develop reports and solve problems
  • Performing ad hoc analyses of data depending on business needs
  • Participating in the analysis and resolution of issues related to information flow and content with data stakeholders

Requirements

  • 4+ years of experience supporting data science projects in a consulting environment
  • 4+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
  • 3+ years of experience using Python and/or R to analyze disparate datasets
  • Ability to travel at least 25%

Nice to have

  • Master’s degree
  • Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution
  • Team player with excellent work ethic and flexible 'can-do' attitude
  • Professional verbal and written communication
  • Undergraduate or Graduate degree

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Scientist

8 matching positions

New

Data Scientist

We are looking for a Data Scientist to join our team and help design, develop, a...
Location
Location
Serbia , Novi Beograd
Salary
Salary:
Not provided
mdpi.com Logo
MDPI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree/ Master's degree in Computer Science or related
  • 2-5 years of experience as a Data Scientist
  • 2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs
  • Strong background in data science, statistics, and analytical problem-solving
  • Intermediate proficiency in FastAPI, Celery, and Keycloak
  • Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face
  • Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER)
  • In-depth understanding of Artificial Intelligence principles
  • Strong working knowledge of Microsoft O365 tools
  • Excellent written and spoken English
Job Responsibility
Job Responsibility
  • Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions
  • Translate business problems into data-driven approaches and scalable analytical solutions
  • Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling
  • Develop, optimize, and benchmark models using appropriate metrics and validation strategies
  • Build and experiment with LLM-powered systems, including agentic workflows and RAG
  • Investigate, reproduce, and compare research prototypes and state-of-the-art methods
  • Collaborate with engineering teams to support the integration of models into production
  • Monitor and analyze model performance and iterate to improve accuracy and robustness
  • Supervising Master/ Ph.D. students when there are trainees in the team
  • Representing the company in e.g. attending conferences, writing scientific articles
  • Fulltime
Read More
Arrow Right
New

Data Scientist

Join us as a "Data Scientist" at Barclays, where you'll build analytical tools t...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Is It IC OR People Manager role – IC role
  • Educational Qualification – Graduation as a minimum
  • Bachelor or masters degree in data science (or similar) or equivalent commercial experience
  • Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
  • Ability to translate technical work into business terms and communicate value to business stakeholders
  • Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
  • Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must
  • Familiarity with AWS data science and AI services, including SageMaker and Bedrock
  • Understanding of GenAI, LLMs and the RAG framework
  • Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools
Job Responsibility
Job Responsibility
  • Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
  • Work with technical teams, architects, designers, and administrators to overcome technical challenges
  • Take ownership of key initiatives to deliver results through an agile workflow
  • Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance
  • Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI
  • Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank
  • Leverage AWS services for data transformation, feature engineering, AI product development and deployment
  • Communicate complex technical ideas to stakeholders via data visualisation
  • Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects
What we offer
What we offer
  • Health and wellness
  • Gain access to wellness rooms, gyms and mental health support
  • A place where you can belong
  • Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
  • Collaborative Areas
  • Modern spaces designed for teamwork and brainstorming
  • More than work
  • Be you. Be valued. Belong
  • Fulltime
Read More
Arrow Right
New

Data Scientist

Amazon Quick Suite is an enterprise AI platform that transforms how organization...
Location
Location
United States , Seattle; Santa Clara; New York
Salary
Salary:
136000.00 - 212800.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • 1+ years of working with or evaluating AI systems experience
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features
  • Leverage LLMs for synthetic data corpora generation
  • data evaluation and quality assessment using LLM-as-a-judge settings
  • Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases
  • Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance
  • Develop and refine annotation guidelines and quality frameworks for evaluation tasks
  • Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies
  • Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements
  • Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts
  • Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets
What we offer
What we offer
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right
New

Data Scientist

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!
Location
Location
Japan , 東京23区
Salary
Salary:
7000000.00 - 12000000.00 JPY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
February 29, 2028
Flip Icon
Requirements
Requirements
  • MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes
  • Able to communicate efficiently in both Japanese and English with technical and business stakeholders
  • Proficiency in quantitative methods and business analytics, with strong problem-solving skills
  • Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction
  • Competent in programming with tools like Python and SQL
  • Strong understanding of data visualization tools, especially PowerBI
  • Experience with CI/CD, MLOps, and cloud platforms like Azure for deploying analytics and ML solutions
  • Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML
  • Background in financial or insurance domain, particularly in operations and marketing
Job Responsibility
Job Responsibility
  • WFH flexibility! Up to 4 days/week!
  • Global Environment!
  • Competitive salary!
What we offer
What we offer
  • 健康保険
  • 厚生年金保険
  • 雇用保険
  • 土曜日
  • 日曜日
  • 祝日
  • Fulltime
Read More
Arrow Right
New

Data Scientist

Freewheel is currently looking to recruit a Data Scientist to join our Audience ...
Location
Location
United States , New York
Salary
Salary:
100254.59 - 150381.88 USD / Year
comcastadvertising.com Logo
Comcast Advertising
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Machine Learning (ML)
  • Data Visualization
  • Applied Machine Learning
  • Structured Query Language (SQL)
  • Data Science
  • Analytical Thinking
  • Python (Programming Language)
  • Bachelor's Degree
  • 0-2 Years of relevant work experience
Job Responsibility
Job Responsibility
  • Collaborating with cross-functional teams to define data analysis problems and design experiments
  • Engineering software solutions and algorithms for data cleansing, integration, and analysis
  • Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
  • Implementing statistical and mathematical models to address complex business challenges
  • Constructing data mining frameworks and conducting trend analysis for strategic decision-making
  • Analyzing complex datasets to identify historical patterns in customer and product behaviors
  • Building predictive models to forecast customer actions and guide business planning
  • Synthesizing findings from data science research to inform and optimize business processes
  • Presenting data-driven insights and recommendations through clear, comprehensive deliverables
  • Consistent exercise of independent judgment and discretion in matters of significance
What we offer
What we offer
  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
  • Bonus
  • Fulltime
Read More
Arrow Right
New

Data Scientist

Drive innovation in machine learning and AI, from research to deployment, creati...
Location
Location
Switzerland , Basel
Salary
Salary:
Not provided
mdpi.com Logo
MDPI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree/ Master's degree in Computer Science or related
  • 2-5 years of experience as a Data Scientist
  • 2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs
  • Strong background in data science, statistics, and analytical problem-solving
  • Intermediate proficiency in FastAPI, Celery, and Keycloak
  • Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face
  • Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER)
  • In-depth understanding of Artificial Intelligence principles
  • Strong working knowledge of Microsoft O365 tools
  • Excellent written and spoken English
Job Responsibility
Job Responsibility
  • Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions
  • Translate business problems into data-driven approaches and scalable analytical solutions
  • Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling
  • Develop, optimize, and benchmark models using appropriate metrics and validation strategies
  • Build and experiment with LLM-powered systems, including agentic workflows and RAG
  • Investigate, reproduce, and compare research prototypes and state-of-the-art methods
  • Collaborate with engineering teams to support the integration of models into production
  • Monitor and analyze model performance and iterate to improve accuracy and robustness
  • Supervising Master/ Ph.D. students when there are trainees in the team
  • Representing the company in e.g. attending conferences, writing scientific articles
What we offer
What we offer
  • The opportunity to contribute to the academic/scientific community
  • Flexible working hours
  • Team bond strengthening through team-building events
  • Professional growth opportunities with our global training system
  • Working in a collaborative and socially responsible team
  • Company retreat facility
  • Full-coverage insurance for accidents/daily sickness
  • Prime location near Basel train station and city center
  • Fulltime
Read More
Arrow Right

Data Scientist

We are currently seeking a Data Scientist to join our team in Pune, Mahārāshtra ...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Technical Proficiency: Strong coding skills in languages like Python, and SQL
  • experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Statistical Expertise: Deep understanding of statistical modeling, probability, and advanced mathematical concepts
  • Domain Knowledge: Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
  • Soft Skills: Excellent technical writing and stakeholder communication
  • the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
  • Experience: Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Job Responsibility
Job Responsibility
  • Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
  • Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
  • Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
  • Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
  • Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
  • Fulltime
Read More
Arrow Right

Data Scientist

We are currently seeking a Data Scientist to join our team in Pune, Mahārāshtra ...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Technical Proficiency: Strong coding skills in languages like Python, and SQL
  • experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Statistical Expertise: Deep understanding of statistical modeling, probability, and advanced mathematical concepts
  • Domain Knowledge: Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
  • Soft Skills: Excellent technical writing and stakeholder communication
  • the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
  • Experience: Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Job Responsibility
Job Responsibility
  • Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
  • Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
  • Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
  • Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
  • Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
  • Fulltime
Read More
Arrow Right