Data Scientist Job at NTT DATA (Pune)

Data Scientist

The Data Scientist role at NTT DATA involves leveraging data science and machine...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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%

Job Responsibility

Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders
Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes
Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered
Work 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
Implement batch and real-time model scoring
Assemble large, complex data sets that meet functional / non-functional business requirements
Apply business knowledge to analyze data, develop reports and solve problems

Fulltime

Data Scientist

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , Menlo Park

Salary:

187057.00 - 199650.00 USD / Year

Data Scientist

I’m currently partnering with a client near the Atlanta metro area that is looki...

Location

United States , Atlanta

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong experience in forecasting, predictive modeling, and statistical analysis
Hands-on experience with Databricks and large-scale data environments
Proficiency with Python, SQL, and data science libraries/tools
Experience with machine learning frameworks and data visualization tools
Strong analytical, communication, and problem-solving skills

Job Responsibility

Develop forecasting models and predictive analytics solutions to support business operations and planning
Analyze large and complex data sets to identify trends, patterns, and opportunities
Build, optimize, and deploy machine learning models and data pipelines
Work closely with business stakeholders and technical teams to translate data into actionable insights
Utilize Databricks and modern data platforms to support scalable analytics solutions
Create dashboards, reports, and visualizations to communicate findings effectively

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Fulltime

Data Scientist

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3–6 years’ experience in data-focused roles (data science, analytics engineering, or data platform roles)
Strong hands-on experience with at least one of Snowflake, Databricks and Microsoft Fabric
Advanced SQL skills and experience working with large-scale, distributed datasets
Strong Python skills for data processing, transformation, and analysis
Solid understanding of data modelling (dimensional, Lakehouse, etc.), data warehousing concepts, batch and/or streaming data pipelines
Experience working in cloud environments
Experience collaborating with data engineers, architects, and platform teams
Ability to deliver production-ready data assets, not just exploratory outputs

Job Responsibility

Designing and enabling data science and analytics workloads on modern data platforms
Ensuring data is accessible, reliable, and production-ready for downstream use
Shaping how data is structured, governed, and consumed across enterprise environments

Data Scientist

Love Data and want to support a growing eCommerce business to turn data into pow...

Location

United Kingdom , Oakham

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Proven experience in Data Science, Advanced Analytics or similar role
Experience applying data science in a commercial setting (e.g. retail, eCommerce, marketing)
Proven ability to deliver measurable business impact from data
Strong programming skills (Python / R)
SQL and experience working with large, complex datasets
Solid understanding of: Statistical modelling
Machine learning techniques
Experimental design and testing
Experience with cloud/data platforms or scalable pipelines
Strong problem-solving and analytical thinking

Job Responsibility

Develop predictive models (e.g. customer lifetime value, propensity, response modelling)
Apply segmentation and clustering techniques to refine customer targeting
Build attribution and measurement frameworks for marketing activity
Support pricing and promotional optimisation through quantitative analysis
Design and build reusable data science products and pipelines
Support automation of reporting and decision-making tools
Work with engineering and IT teams to scale solutions within our analytics ecosystem
Translate complex outputs into clear, compelling recommendations
Partner with stakeholders across Marketing, Trading and Digital teams
Drive measurable improvements in customer engagement, revenue and profitability

What we offer

Hybrid Working Model
Subsidised Restaurant
Free access to a local Gym & Swimming Pool
50% Employee Discount
Cash Health Scheme
Free Annual Eye test
Employer pension contribution up to 5%
Free on-site parking

Fulltime

New

Data Scientist

My client is a modern, technology-led investment management firm leveraging adva...

Location

United States , Houston

Salary:

130000.00 USD / Year

Hunter Bond

Expiration Date

Until further notice

Requirements

1-4 years of hands-on experience in data analysis, EDA, and machine learning
Solid understanding of ML and statistical techniques (regression, classification, clustering, time series, model evaluation)
Strong Python skills and experience working with real-world datasets
Exposure to (or an interest in) finance/financial data is a strong plus
Degree in Data Science, Computer Science, Engineering, Mathematics, or similar

Job Responsibility

Performing exploratory analysis through to production-ready models
Shaping how data is used across the firm with direct visibility and ownership
Collaborating with engineers and quantitative analysts at the intersection of finance and tech
Working with live market data and decision-making systems that operate at scale
Contributing to the full lifecycle of data science projects

What we offer

Extremely competitive bonus tied to firm and individual performance
Direct exposure to investment and trading decision-making
Modern tech stack with real production ownership
Structured learning budget for courses, conferences, and certifications
Clear progression path into senior data science or quantitative roles
High-impact work- your models won’t sit on a shelf

Fulltime

New

Data Scientist

We are hiring a highly skilled Data Scientist with strong expertise in Machine L...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Deep Learning (Neural Networks, CNNs, RNNs, LSTM, Transformers)
PyTorch, TensorFlow, Keras
Python Programming
Scikit-learn
Pandas & NumPy
Machine Learning (Regression, Classification, Ensemble Models)
Time Series Forecasting & Predictive Modeling
Model Training, Hyperparameter Tuning & Cross-Validation
Experience: 5+ Years

Job Responsibility

Train and optimize Deep Neural Network architectures for Regression and Industrial Control Usecases
Design and implement end-to-end Machine Learning & Deep Learning pipelines including data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring
Work on large, complex datasets for data preprocessing, exploratory data analysis (EDA), and feature engineering
Apply Regression Models, and Predictive Analytics to solve real-world problems
Develop Time-Series and Forecasting models for trend prediction and risk estimation
Collaborate with cross-functional teams to integrate ML solutions into production systems

Fulltime

Data Scientist

Data Scientist Permanent Position! Job Summary: As a Data Scientist, the benefi...

Location

Salary:

53.00 USD / Hour

SAR Tech

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related field
Related experience in Data Science, Machine Learning, Statistical Analysis, Predictive Modeling, and Data Analytics
Strong experience working with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar data science and machine learning frameworks
Experience with data visualization and reporting tools such as Tableau, Power BI, Matplotlib, or Seaborn
Strong knowledge of statistical analysis, hypothesis testing, data mining, feature engineering, and model evaluation techniques
Experience processing and analyzing large structured and unstructured datasets from multiple data sources
Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is preferred
Knowledge of data preprocessing, ETL workflows, data validation, and data quality management practices
Understanding of Machine Learning operations (MLOps), model deployment, monitoring, and CI/CD pipelines is preferred
Familiarity with Big Data technologies such as Apache Spark, Hadoop, Databricks, or Snowflake is preferred

Job Responsibility

Use statistical techniques such as A/B testing to analyze and improve client onboarding applications, helping enhance user experience and drive better conversion outcomes
Design and implement data pipelines, data preparation frameworks, and analytical models to analyze large datasets using statistical tools
Perform data analysis, feature engineering, and model development for predictive analytics using python programming language
Develop and optimize machine learning models for financial data use cases such as forecasting and anomaly detection
Evaluate machine learning models using performance metrics to ensure they deliver reliable and meaningful results
Analyze business or financial data through reporting software to support decision-making
Create dashboards and analytical reports using Microsoft Power BI to support business decision-making
Collaborate with stakeholders to translate requirements into scalable AI/ML solutions and present insights
Build and deploy AI-powered applications using agentic workflows leveraging OpenAI models and related frameworks

What we offer

Medical Insurance
401(k) Retirement Plan

Fulltime

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