Data Scientist - Offshore Job at NTT DATA (Remote)

Data Scientist - Offshore

The Data Scientist role involves leveraging expertise in data science, AI, and m...

Location

India , Remote

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
ML/Statistical modeling
experimental design
A/B testing
Python
Azure ML
Bachelor's degree in a related field

Job Responsibility

Risk prediction and assessment
Quality management prediction
Cost estimation
Financial projection
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
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

Fulltime

Manager, Statistical Data Sciences Lead

A highly productive, independent statistical data sciences lead ensuring excelle...

Location

Greece , Thessaloniki Pylaia

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field
At least 5 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency
Clinical trials expertise with a thorough understanding of data operations required for the reporting of clinical trial data
Good understanding of ICH and Regulatory Guidelines including submission requirements and data conformance (e.g., Pinnacle21)
Statistical Programming and SAS, R, or Python hands-on experience
Familiarity with R packages, Shiny Apps, Markdown reports and other associated data science and data analytics tools and AI/ML highly desired
Experience with Real World Evidence and other big data sources and associated standards (e.g.OMOP, JSON, ODHSI ) in support of regulatory filings desired
Active participation in relevant industry groups (e.g., PHUSE, CDISC, IHD)
Routine problem solving skills, developing the ability to solve complex problems using skills based on experience and extrapolation to new situations
Thorough understanding of clinical data and relevant data standards (e.g., CDISC)

Job Responsibility

Ensuring excellence in the delivery of analysis ready datasets, analysis results, and displays such as tables, listings, and figures to advance research, development, and commercialization of the Pfizer portfolio following Pfizer SOPs and processes
Ensuring adherence to high quality statistical data sciences principles, processes and techniques in the production of clinical reports
Being the statistical data sciences point of contact at the study level, and supporting at the asset/submission level
Delivering through combination of oversight of in-house statistical data scientists / vendors / offshore support as well as through hands on application of statistical data sciences techniques
Working with department leadership and project teams to establish strategy, timelines, and resourcing of deliverables for their study(ies)
Being accountable for the quality and timely delivery of datasets, analysis results and displays required for their clinical study reports as well as other asset level deliverables
Ensuring appropriate documentation across the lifespan of the study for deliverables and verifying proper Trial Master File filings
Ensuring planning is in place for all deliverables including consideration of special data types and downstream uses of data
Working with statisticians, statistical data science resources and other colleagues to ensure clear specifications for deliverables are in place
Being knowledgeable in core safety standards as well as Therapeutic Area standards or Industry data standards for unique data types

What we offer

Work life harmony
Trusting, flexible workplace culture
Disability inclusion
Equal employment opportunities

Fulltime

Senior Project Manager

Solvd Inc. is a rapidly growing AI-native consulting and technology services fir...

Location

Argentina; Brazil; Colombia

Salary:

Not provided

Solvd Inc.

Expiration Date

Until further notice

Requirements

10+ years of experience in software delivery or enterprise system implementation, including fixed-price, end-to-end ownership
Proven background managing complex enterprise projects or large-scale transformation programs
Experience delivering both AI and traditional software build projects in a multi-disciplinary environment
Proven experience in Presales
Strong technical literacy - able to engage confidently with architects, data scientists, and engineering leads
Deep experience managing offshore and nearshore delivery teams, especially in South America and Eastern Europe
Demonstrated consultative and executive-level communication skills with the ability to influence strategic outcomes
Solid understanding of agile, hybrid, and pod-based delivery methodologies
Fluent in English is a must

Job Responsibility

Presales & opportunity support: Collaborate with Sales, Tech, and Domain experts to co-design solution strategies, define delivery scope and models, and lead effort estimation. Drive proposal development and client engagement to ensure all presales commitments are viable, value-driven, and seamlessly transitioned into delivery
Full project ownership: Lead the complete lifecycle of fixed-price projects - from scoping, estimation, and contracting to delivery, deployment, and warranty phases
Strategic delivery leadership: Oversee Solvd’s AI and non-AI build initiatives, including enterprise software, data platforms, automation systems, and AI-powered products
Complex solution management: Drive successful delivery of highly complex bespoke systems and other large-scale, integrated enterprise applications
Consultative client engagement: Act as a trusted partner to clients, aligning technology solutions with business goals and helping shape long-term roadmaps
Cross-regional team leadership: Manage distributed teams across LATAM and Eastern Europe, ensuring alignment, communication, and consistent execution of quality
Technical fluency: Understand architecture, data models, cloud services, and integration layers to engage meaningfully with engineering and solution leads
Pod-based delivery models: Apply modern pod or squad structures to promote ownership, agility, and outcome-driven collaboration
AI/ML collaboration: Partner with Solvd’s AI engineering and research teams on projects involving machine learning, computer vision, and intelligent automation
Financial & risk management: Maintain ownership of project P&L, delivery margins, and risk mitigation strategies across multiple parallel initiatives

What we offer

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

Fulltime

RDSO Sr. Mgr Data Sciences

Data is the new gold. Digitalization is generating large quantities of data and,...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 12 -17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
12-17 years of experience delivering complex analytical projects using quantitative methods, multivariate statistics, predictive modeling, and advanced analytics techniques
Demonstrated experience building, deploying, and optimizing machine learning models to drive business outcomes
Experience leading offshore or globally distributed analytics teams, preferably within an India delivery model
Strong ability to translate business requirements into analytical plans and influence decision-making through clear communication
Hands-on experience with modern data platforms and cloud technologies (e.g., AWS, Snowflake, Spark, Databricks)
Proficiency in Python, R, Scala, Java, SQL, and BI tools (e.g., Tableau, Spotfire)
Demonstrated application of advanced analytics, AI/ML, NLP, and statistical modeling to complex business problems
Strong written, verbal, and presentation skills with senior leadership audiences
Experience operating effectively in a matrixed, global environment

Job Responsibility

Design and develop analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to enable concrete insights and inform timely decision-making
Strategize with partners across the organization to build scalable, production-grade AI/ML products and apply consistent approaches to solving complex business problems
Identify key business questions required to meet evolving needs
prioritize resources to address critical business issues and decisions
Design and build analytical frameworks, tune model parameters, and monitor model performance over time
Lead and provide thought leadership across end-to-end development, deployment, and sustainment of digital and analytics solutions
Partner with IS and data engineering teams to define data requirements, automate model retraining, and ensure robust deployment pipelines
Ensure dashboards and downstream products are fed by reliable, high-quality analytical models aligned to business needs
Apply agile delivery methods to ensure efficient, integrated, and scalable business and system processes
Build, lead, and develop a high-performing India-based Data Sciences team, including hiring, onboarding, performance management, coaching, and career development

What we offer

Full support and career-development resources to expand your skills and maximize your potential
A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead
Competitive total rewards package supporting health, wealth, work/life balance, and career growth

Fulltime

Expert, Business Analytics (Generating Demand)

Partner with business leaders to translate complex, ambiguous challenges into ac...

Location

United States , St. Louis

Salary:

141000.00 - 203000.00 USD / Year

Nestlé Purina

Expiration Date

Until further notice

Requirements

Bachelor’s degree from an accredited institution and 5+ years of business analytics experience, or an equivalent combination of education and experience (Master’s degree + 3 years OR PhD + 1 year)
1+ year of hands-on experience with Python, R, and Databricks for data exploration, prototyping, and framing analytic solutions
1+ year of experience with experiment design, statistical modeling, causal inference, and machine learning

Job Responsibility

Act as a trusted advisor to commercial leaders by shaping analytics roadmaps and data driven strategies aligned to business priorities
Translate complex business challenges into structured analytics problems with clear hypotheses, success criteria, and value definitions
Lead cross functional problem-solving efforts, including scoping, prioritization, and business case development
Partner with internal and external technical teams to design analytics solutions, guiding modeling approaches such as forecasting, experimentation, demand drivers, and optimization
Serve as the primary translator between business stakeholders and development partners (e.g., internal teams, offshore resources, vendors)
Apply statistical, machine learning, and causal inference techniques to explore data, test hypotheses, and inform solution design—prioritizing business clarity over technical complexity
Review and provide oversight on technical deliverables to ensure relevance, quality, and feasibility without owning full production builds
Synthesize insights into clear, executive ready narratives tied to measurable commercial impact
Drive adoption and sustained value by supporting training, integration into workflows, identifying barriers, and coaching analysts and junior data scientists while sharing industry trends and emerging opportunities

What we offer

performance-based incentives
competitive total rewards package
401k with company match
healthcare coverage
broad range of other benefits

AI Architect

A highly skilled and motivated AI Architect for designing, developing, and imple...

Location

India , Bangalore

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Minimum of 5 years of experience in AI projects, data science, or a related field
Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision)
Proficiency in programming languages like Python, .Net
Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices
Proven experience in managing technical projects, preferably in AI, machine learning, or data-driven technologies
Knowledge of big data processing tools (e.g., Hadoop, Apache Spark)
Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.)
Experience in architecting AI Solutions using on premise and Cloud technologies
Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects

Job Responsibility

Define and design AI architecture, frameworks, and strategies to meet organizational needs
Evaluate and select AI tools, platforms, and frameworks to develop innovative solutions
Supervise or contribute to the development, training, and optimization of Large as well as small language models
Ensure seamless integration of AI solutions with existing business processes while ensuring that the solution complies with Arrow’s internal policies and guidelines
Design AI solutions that are scalable, secure, and maintainable over time
Stay updated on the latest advancements in AI and machine learning to propose innovative solutions
Strong understanding & knowledge about Microsoft Azure cloud and deploying PaaS & SaaS applications on Azure
Strong architecture background especially in AI Solutions and Cloud technologies
Collaborate with external vendors and partners to leverage their expertise and solutions
Define project scope, goals, and deliverables that align with business objectives

Fulltime

Technical Project Manager

iTech is accelerating its growth with innovative AI-driven products and cloud so...

Location

India , Chennai

Salary:

Not provided

iTech

Expiration Date

Until further notice

Requirements

Experience managing software projects with frontend (React.js or Angular) and backend (.Net Core or Node.js) components
Knowledge of AWS cloud services (e.g., EC2, S3, Lambda) and CI/CD pipelines
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and deployment tools (e.g., AWS SageMaker)
5+ years leading offshore development teams in an Agile environment
Strong English communication skills for client and team interactions
Experience scaling teams and managing multiple projects concurrently
Ability to anticipate and resolve technical/operational risks

Job Responsibility

Lead multiple AI and software projects with offshore teams, ensuring timely delivery and quality outcomes
Serve as the primary point of contact for clients, aligning technical solutions with business needs
Facilitate sprint reviews, status updates, and client calls using Agile methodologies (Scrum, Kanban)
Mentor and scale engineering teams, fostering a culture of innovation and collaboration
Support team performance reviews and technical skill development
Provide guidance on frontend (React.js/Angular) and backend (.Net Core/Node.js) development
Collaborate with Data Scientists and ML Engineers to integrate and deploy AI/ML models
Leverage MLOps practices to streamline AI pipelines and ensure production-ready solutions
Oversee AWS cloud deployments, focusing on scalability, cost efficiency, and security
Identify and mitigate project risks, tracking KPIs like delivery timelines and sprint velocity

What we offer

Competitive salary
Performance bonuses
Comprehensive benefits

Fulltime

Hris intern

We are looking for a motivated, curious and enterprising candidate to join us at...

Location

Italy , Agordo

Salary:

Not provided

OPSM

Expiration Date

Until further notice

Requirements

You love challenges and you take your responsibility seriously
Previous experience in HRIS field will be considered a plus
You are interested in the HR world
You have strong facilitation and communication skills, you are able to present information to audiences at all levels of the organization
You have good analytical skills, you are able to understand and tell stories behind processes and data

Job Responsibility

Contribute to planning for future HR system needs and make decisions within the framework of EssilorLuxottica’s Digital Agenda
Evaluate current trends and emerging technologies in HR automated technologies and the capabilities of new products, for all human resources functions and how they may impact existing HR systems
Working with IT, Procurement and end users, drive the selection and development of new products, conversions, upgrades, and enhancements for assigned HR systems
Help the HRIS development and support process to prioritize and execute requests for changes and/or enhancements to HRIS
Collaborate with stakeholders and be able to communicate and report progress all of them
Analyze and review existing business processes, control, procedures and applications to develop innovative solutions that maximize efficiency and usability
Develop information-reporting requirements, specifications and user reporting capabilities to extract data for a wide range of human resources reporting and for executive decision-making
Partner with HR community in the region to define or expand programs and process requirements, translating requirements into optimal utilization of the technology
Collaborate with the different stakeholders to ensure employee experience is developed in the Global HRIS solution and roadmap, to continuously improve the Experience processes
This includes recommending automation and self-service opportunities

Data Scientist - Offshore

NTT DATA

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

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