Data Science - Structures Job at Airbus (Bangalore)

Data Science Group Manager

The Applications Development Technology Senior Lead Analyst is a senior level po...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space
At least 3+ years of experience applying AI to practical uses, experience with deep learning, NLP and Tensorflow
Proficiency in Scala, Python, and other language or domain-specific packages as well as Big Data Eco system
Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities
Strong communication skills, e.g. ability to translate business use cases to tech specs, working with diverse project teams, and developing relationships with vendors
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Job Responsibility

Lead the Data Science functions regionally to meet goals, deploy new products, and enhance processes
Serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward

Fulltime

Data Science Lead

The Data Science Lead is a strategic professional who stays abreast of developme...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
10+ years experience using tools for statistical modeling of large data sets
Proficient in data handling suites PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages
Strong ability to extract strategic insights from large data sets
Experience in Design and implementation of machine learning models and algorithms to solve complex business problems with exposure to machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Adept at using Statistical (like forecasting/modeling, data analysis, regression/optimization models), Machine Learning (GBM, Decision Trees etc.) & AI techniques (Deep Learning)
Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of Finance/risk domain and/or business economics
Experience in working on Visualization tools like Tableau, POWER BI, etc.
Skilled core python developer with extensive development expertise in building the high scaled and performant software platforms for data computation and processing
Expert level knowledge of core python concepts and libraries such as pandas, NumPy and SciPy and well versed with OOPs concepts and design patterns

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Data Science Intern

Join CHECK24 AI Forge GmbH in Munich and contribute to the ongoing development o...

Location

Germany , Munich

Salary:

Not provided

CHECK24

Expiration Date

Until further notice

Requirements

Currently enrolled in a degree program in Computer Science, Data Science, Mathematics, or a related field
Proficient in Python, with hands-on experience in data manipulation, analysis, and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch), and familiar with Generative AI frameworks such as LangChain
Strong analytical skills, with the ability to extract meaningful insights from complex datasets and communicate findings effectively
Fluent in English
knowledge of German is a plus

Job Responsibility

Research cutting-edge NLP techniques, with a focus on property-value extraction and retrieval-augmented generation (RAG) solutions to improve accuracy
Design and develop AI agents for autonomous information retrieval and extraction, leveraging RAG frameworks and MCP standards to enhance performance and collaboration
Plan and conduct benchmarking experiments to evaluate LLM outputs and support the evaluation pipeline
Help develop and optimize small language models (SLMs) for efficient information extraction from documents
Clean, preprocess, and analyze both structured and unstructured data to improve the performance of large language models (LLMs)
Collaborate with data scientists to integrate new solutions and findings into products, ensuring scalability and addressing deployment challenges
Document methodologies, findings, and insights to share knowledge and best practices within the team

What we offer

Diverse insights in an innovative and modern work environment: Experience the blend of an agile startup and a successful e-commerce company
Optimal career preparation: Gain practical experience, receive intensive support, and regular feedback from colleagues to build a solid foundation for your career
Independent work: Quickly take on independent tasks and responsibility for exciting projects
CHECKito Spirit: Work in a relaxed yet professional environment with open communication, no dress code, and team celebrations at company events
Food & drinks: Enjoy free beverages, muesli, fresh fruit, and lunch three times a week
Vouchers & discounts: Receive vouchers for various CHECK24 products and discounted sports benefits (Wellpass membership and in-house fitness courses)
Central location: Our office is ideally located with excellent public transport connections

Fulltime

Data Science Manager

Integrated within the Data science department, you will jointly intervene on R&D...

Location

France , Paris

Salary:

Not provided

Artelys

Expiration Date

Until further notice

Requirements

Holder of a top engineering school, a higher education institution, or/and a Ph.D. in applied statistics
At least 3 years of experience in designing, implementing, and deploying advanced Data Science methods in a company or as part of a thesis
At least 2 years of project or team management experience in Data Science
Skills in Python and/or R development
Motivated by project management and the responsibility of leading a team, managing a budget, and meeting deadlines
Can reconcile the client’s business vision, the Data Scientist’s technical vision, and the company’s economic vision
Autonomous, rigorous, and have a strong sense of listening and interpersonal skills

Job Responsibility

Lead project teams of 2 to 3 Data Scientists and/or Data Engineers and actively contribute to the realization of certain Data Science and AI missions requiring your expertise in certain technical domains
Evaluate the risks that may occur during implementation and set up project structures and management tools (dashboards, indicators, committee organization) to cover them
Define the needs in terms of human resources and technical skills necessary to meet deadlines, respect costs, and deliver a solution that meets client needs
Understand client data challenges (business, strategic) and take charge of pre-sales by bringing your expertise and relying on the sales teams
Mentor junior consultants in developing their skills by capitalizing on your experiences

What we offer

Up to 2 days of remote work per week possible
Flexible working hours
Offices located in the city center of each city where we are located

Fulltime

Data Science Manager (GTM)

You will be part of a world-class Data Science team that leverages data to drive...

Location

United States

Salary:

167100.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics or related fields
2+ years of experience managing teams of 4+
Advanced proficiency in SQL and knowledge of another data science programming language (e.g. Python, R)
Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses

Job Responsibility

Collaborate on a variety of marketing and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
You will use data to shape marketing strategy, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
You will use storytelling techniques to communicate insights broadly, including to company leadership teams
Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support
Work with your team to help them grow through coaching in technical, analytical, and soft skills

What we offer

Health and wellbeing resources
Paid volunteer days
and so much more

Fulltime

Data Science Developer

Data Science Developer - Deliverables. The candidates will perform Data Science ...

Location

Canada , Toronto

Salary:

Not provided

NSPR IT Services & Solutions

Expiration Date

Until further notice

Requirements

Experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures
Experience with Python, Databricks and Azure Data Factory
Power BI reports and dashboards

Job Responsibility

Creating, enhancing, maintaining, and supporting structures for storage of data in formats that are suitable for consumption in analytics solutions
Automation of data pipelines used to ingest, prepare, transform, and model data for use in analytics products
Creating, enhancing, maintaining, and supporting dashboards and reports
Creating, enhancing, maintaining, and supporting analytics environments and implementing new technology to improve performance, simplify architecture patterns, and reduce cloud hosting costs
Knowledge transfer sessions and documentation for technical staff related to architecting, designing, and implementing continuous improvement enhancements to analytics solutions

Data Sciences Assistant Manager

The role involves designing and managing BI solutions, integrating data from var...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s degree in Computer Science, Data Science, Business Analytics, or a related technical field
6+ years of experience in Business Intelligence, Data Engineering, or Cloud Data Analytics
Proficiency in SQL, Python, or data wrangling languages
Deep knowledge of BI tools like Power BI, Tableau, or QlikView
Strong data modeling, ETL, and data governance capabilities

Job Responsibility

Design, build, and manage end-to-end Business Intelligence solutions, integrating structured and unstructured data from internal and external sources
Architect and maintain scalable data pipelines using cloud-native services (e.g., AWS, Azure, GCP)
Implement ETL/ELT processes to ensure data quality, transformation, and availability for analytics and reporting
Support the Market Intelligence team by building dashboards, visualizations, and data models that reflect competitive, market, and customer insights
Work with research analysts to convert qualitative insights into measurable datasets
Drive the automation of insight delivery, enabling real-time or near real-time updates
Design interactive dashboards and executive-level visual reports using tools such as Power BI, or Tableau
Maintain data storytelling standards to deliver clear, compelling narratives aligned with strategic objectives
Act as a key liaison between business users, strategy teams, research analysts, and IT/cloud engineering
Translate analytical and research needs into scalable, sustainable BI solutions

What we offer

Commitment to fighting against all forms of discrimination
Inclusive and respectful work environment
Positions open to people with disabilities

Fulltime

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
Advanced programming in SQL and Python (R a plus)
comfort working in Databricks or similar environments
Strong storytelling and presentation skills
ability to translate data into clear, compelling insights

Job Responsibility

Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
Maintain best practices in reproducibility, documentation, version control, and model governance across teams

Data Science - Structures

Airbus

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 26, 2026

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Job Posted:January 26, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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January 26, 2026