Data Scientist - Offshore Job at NTT DATA (Remote)

Senior Project Manager

As a Senior Project Manager, you are passionate about experience innovation and ...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Minimum 5 years of professional project management experience, with a demonstrable track record of delivering Data, Analytics, or AI/ML solutions end-to-end
Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline. Master's degree or MBA is a plus
Proven delivery experience across at least two of the following verticals: Automotive, Agriculture, Manufacturing (e.g., IoT/telematics, smart farming, Industry 4.0, MES integration, predictive maintenance, computer vision on the factory floor)
Strong working knowledge of modern data and AI technologies, including cloud data platforms (Azure, AWS, or GCP), data pipelines, MLOps, and at least foundational familiarity with generative AI and LLM-based solutions
Hands-on experience leading Agile (Scrum/Kanban) and hybrid delivery teams, including distributed and offshore squads
Excellent stakeholder management skills-comfortable engaging C-level sponsors, plant managers, R&D heads, and technical specialists with equal credibility
Strong commercial acumen: budget ownership, vendor management, SOW shaping, and change control
Demonstrated ability to navigate ambiguity, prioritize ruthlessly, and drive outcomes in environments where data maturity varies significantly
Excellent written and verbal communication skills, including the ability to translate technical concepts for non-technical audiences

Job Responsibility

Delivery leadership: Lead the full lifecycle of Data & AI projects-discovery, design, build, deployment, and adoption-across multiple concurrent engagements
Planning & execution: Develop and maintain detailed project plans, budgets, RAID logs, and resource forecasts
manage scope, timelines, and dependencies using Agile, Waterfall, or hybrid approaches as appropriate
Stakeholder management: Serve as the primary point of contact for client executives, product owners, and technical leads
clearly communicate progress, risks, trade-offs, and value realization
Cross-functional coordination: Orchestrate work across data engineers, data scientists, ML engineers, architects, business analysts, and domain SMEs to deliver integrated outcomes
Industry contextualization: Apply working knowledge of Automotive, Agriculture, and Manufacturing operations (e.g., connected vehicle data, precision agriculture, predictive maintenance, supply-chain analytics) to shape delivery and de-risk execution
Governance & quality: Enforce delivery standards, model governance, data quality, security, and responsible-AI practices in line with organizational and regulatory requirements
Commercial accountability: Track financials against forecast, manage change requests, identify upsell opportunities, and ensure margin and utilization targets are met
Continuous improvement: Run retrospectives, capture lessons learned, and contribute to internal delivery playbooks, estimation models, and capability uplift

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Senior Coastal & Ports Engineer

BMT is a leading global consultancy in design, engineering, science, and risk ma...

Location

Singapore , Singapore

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering or other relevant area of study
3-7+ years’ experience post-graduation (depending on position level)
Experience in either Coastal Structures and Port Engineering, Coastal or Metocean Modelling
In depth understanding of the coastal processes, waves, currents, sediment transport, siltation, metocean data acquisition, instrument set up, post- processing
Working knowledge of metocean and coastal modelling software, including SWAN, Tuflow FV (or similar, e.g. DELFT-3D, MIKE21), XBeach and their application for solving coastal issues
Working knowledge of Singaporean, Australian and/or international standards and guidelines relevant to the design of coastal structures such as seawalls, revetments, breakwaters, groynes etc
Experience working within the engineering/consulting sector including experience with proposals and directly managing customers or external stakeholders
Experience with numerical data analysis software (e.g. MATLAB, Python) and mooring analysis software (e.g. Optimoor, OrcaFlex), as well as structural modelling tools (e.g. STAAD.Pro, SAP, SPACE GASS, Mathcad), will be considered advantageous
Relevant registration with recognized engineering/environmental body
Unrestricted and permanent work rights in Singapore

Job Responsibility

Contribute to a diverse range of coastal and offshore projects Including cross-shore erosion modelling, supporting coastal hazard planning, and contributing to the port development projects, for private and public sector clients
Contribute to port development and feasibility studies including navigation risk assessment, traffic risk study, operability assessment, throughput and channel utilisation studies, mooring and berthing assessments, dredging design
Act as a Project Design Manager for small to large scale projects and lead the engagement with the end client
Lead the design of coastal infrastructure across Australia including jetties, marinas, wharves, boat ramps, breakwaters, seawalls, revetments and other coastal protection infrastructure
Be part of a cross-discipline team, working with coastal engineers, mechanical/electrical engineers, oceanographers, environmental scientists, naval architects, GIS and approvals specialists
Be a technical leader in the maritime structures area, conducting internal reviews and contributing to the development of templates and workflows
Providing leadership and mentoring to less experienced team members
Write proposals and support with business development and customer relationship management

What we offer

competitive salary offering
performance bonuses
companywide bonuses as part of being an employee benefits trust
Defence Reserve Leave
24/7 Employee Assistance Program (EAP)
learning and development

Fulltime

Senior Coastal and Ports Engineer

BMT is a leading global consultancy in design, engineering, science, and risk ma...

Location

Australia , Perth

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

A bachelor’s degree in engineering or other relevant area of study
Minimum 7 years’ experience post-graduation
Experience in either Coastal Structures and Port Engineering, Coastal or Metocean Modelling
In depth understanding of the coastal processes, waves , currents, sediment transport, siltation, metocean data acquisition, instrument set up, post- processing
Working knowledge of metocean and coastal modelling software, including SWAN, Tuflow FV (or similar, e.g. DELFT-3D, MIKE21), XBeach and their application for solving coastal issues
Working knowledge of Australian and/or international standards and guidelines relevant to the design of coastal structures such as seawalls, revetments, breakwaters, groynes etc
Experience working within the engineering/consulting sector including experience with proposals and directly managing customers or external stakeholders
Unrestricted and permanent work rights in Australia

Job Responsibility

Contribute to a diverse range of coastal and offshore projects Including cross-shore erosion modelling, supporting coastal hazard planning, and contributing to the port development projects, for private and public sector clients
Contribute to port development and feasibility studies including navigation risk assessment, traffic risk study, operability assessment, throughput and channel utilisation studies, mooring and berthing assessments, dredging design
Act as a Project Design Manager for small to large scale projects and lead the engagement with the end client
Lead the design of coastal infrastructure across Australia including jetties, marinas, wharves, boat ramps, breakwaters, seawalls, revetments and other coastal protection infrastructure
Be part of a cross-discipline team, working with coastal engineers, mechanical/electrical engineers, oceanographers, environmental scientists, naval architects, GIS and approvals specialists
Be a technical leader in the maritime structures area, conducting internal reviews and contributing to the development of templates and workflows
Providing leadership and mentoring to less experienced team members
Write proposals and support with business development and customer relationship management

What we offer

competitive salary offering
performance bonuses
companywide bonuses as part of being an employee benefits trust
Defence Reserve Leave enabling defence reservist employees to undertake ADF obligations without financial disadvantage
24/7 Employee Assistance Program (EAP)
We invest in learning and development to help you grow
remote, hybrid, and part-time work options

Fulltime

Senior TPM Manager

We are hiring a Group Technical Program Manager to lead the reporting, analytics...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
1+ years people management experience
2+ years of experience managing cross-functional and/or cross-team projects

Job Responsibility

Operational systems - Run the platforms that audit, risk, and compliance teams use to deliver results. This includes AI tooling, BI and dashboarding platforms, data pipelines and warehouses, case management, control testing tools, risk registers, and workflow automation amongst others
Understand the Microsoft stack and the value it drives, optimize, enable efficiencies where possible and influence the evolution of the ARC technology roadmap
Analytics, AI & automation - Drive AI, agent, and analytics-driven modernization of audit and compliance workflows, such as anomaly detection, continuous controls monitoring, audit-request automation, and assisted walkthroughs
Build advanced analytics capabilities (statistical sampling, outlier detection, predictive risk scoring) on top of a well-governed data foundation
Ensure analytics products meet enterprise standards for data quality, security, privacy, and auditability
Reporting & Analytics Operations- Production systems enable enterprise reporting for audit, risk, and compliance. Ensure that the outputs scale and are what leadership needs to deliver desired outcomes
Manage the metrics and KPI framework for audit coverage, issue aging, control effectiveness, remediation velocity, and risk posture. Make sure every number is defensible, traceable, and refreshed on a reliable cadence
Govern the semantic data model and the "single source of truth" underlying all audit and risk reporting, including data lineage, definitions, data quality, and access controls
Drive self-service analytics adoption across the audit, risk, and compliance community through curated datasets, trained reports, and citizen-developer enablement
Lead the portfolio roadmap and quarterly prioritization across SOX, internal audit, Investigations, and enterprise risk management workstreams

What we offer

Certain roles may be eligible for benefits and other compensation

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

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

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

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

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Data Scientist - Offshore

Job Description

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