Data Scientist

The FX Data Analytics & AI Technology team, within Citi's FX Technology organiza...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12 to 18 years experience
Master’s degree or above (or equivalent education) in a STEM discipline
Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate
Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc)
Understanding of Gen AI models, Vector databases, Agents and follow the market trends
Experience developing and implementing quantitative models from data in a financial context
Proficiency working with version control systems such as Git, and familiarity with Linux computing environments
Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc
Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools
Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences

Job Responsibility

Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business
Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability
Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology
Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance
Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders

What we offer

Global Benefits
We bring the best to our people. We put our employees first and provide the best-in-class benefits they need to be well, live well and save well

Fulltime

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience

Job Responsibility

Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
ensure quality control (QC) and validation of work produced by junior data scientists
Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit

What we offer

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Data Scientist

Hunter Douglas is in a multi-year transformation to modernize operations, digita...

Location

Netherlands , Rotterdam

Salary:

Not provided

Hunter Douglas

Expiration Date

Until further notice

Requirements

5+ years in DS/ML with technical leadership
consistent record of business impact
Fluent in Python & SQL
strong ML fundamentals (statistical learning, gradient boosting, time series
working knowledge of deep learning)
Hands-on with GenAI: prompt design, embeddings/vector stores, fine‑tuning/adapters, agent frameworks (e.g., LangChain/LlamaIndex), and LLM eval
Consulting-grade problem solving & communication: engage executives, structure ambiguity, tell a quantified story
Solid software & data practices: version control, testing, code review
ETL/ELT & APIs
cloud (GCP/Azure)

Job Responsibility

Partner with executive management on high‑impact initiatives across pricing, CX, and growth
bring structured, fact‑based recommendations and own delivery
Translate strategy to impact: convert business goals into AI/ML workstreams with clear metrics (revenue, margin, CX)
track outcomes
Own end-to-end delivery: problem framing → data strategy → modeling → experimentation/causal inference → deployment → monitoring
Build GenAI products: RAG systems, tool-using agents, workflow orchestration, guardrails/safety, and systematic LLM evaluation
Design high-leverage models: e.g., product optimization, demand forecasting, segmentation/CLV, recommendations, attribution
Integrate & ship: partner with engineering to connect legacy/modern systems
deliver quick wins that scale
Coach & influence: mentor data scientists/analysts

What we offer

Direct exposure to senior leadership and the chance to shape a global transformation
Significant ownership with the stability of a market leader
Competitive compensation, performance bonus, and rapid growth opportunities
supportive environment for professional growth

Data Scientist

Growth through diversity, equity, and inclusion. As an ethical business, we do w...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Familiarity with theory behind various deep learning concepts
Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
Fluency in Python and object programing, working knowledge of SQL and vector database
Solid experience with GCP/VertexAI is a must
Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude
Experience with microservice architectures
Experience with code repositories and code assistants
Strong business acumen
Ability to come up with creative solutions to address customer problem

Job Responsibility

Implementing end-to-end GenAI powered RAG & multi-agent systems: Providing guidance on system architecture & components
Building TTD system components: LLM Agents, LLM Agents setup & prompt engineering / prompting strategies, Routing, State management, Vector stores and more generally context providing, Rerankers, Validation and assessment rules
Supporting project delivery: Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Delivering high quality technical solution to the customer
Drawing conclusions and recommendations- including expected benefits

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
“Office as an option” model. You can choose to work remotely or in the office, depending on your location
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company. 76% of our managers are internal promotions

Data Scientist

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Familiarity with theory behind various deep learning concepts
Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
Fluency in Python and object programing, working knowledge of SQL and vector database
Solid experience with Databricks is a must
Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude

Job Responsibility

Implementing end-to-end GenAI powered RAG & multi-agent systems: Providing guidance on system architecture & components
Building TTD system components: LLM Agents, LLM Agents setup & prompt engineering / prompting strategies, Routing, State management, Vector stores and more generally context providing, Rerankers, Validation and assessment rules
Supporting project delivery: Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Delivering high quality technical solution to the customer
Drawing conclusions and recommendations- including expected benefits

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Data Scientist - AI

The Data Scientist builds from the ground up to meet the needs of mission-critic...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline. Master’s desirable
Typically, 4-7 years’ experience
Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, deep learning
Great at communicating concepts and results
strong data visualization skills
Expert Python coder (PySpark, Scikit-learn)
experience with software engineering best practice
Relevant industry experience in data science, machine learning
Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
Experience with Agentic AI

Job Responsibility

Work with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
Discover new problem signatures in customer networks
Design, implement, and validate machine learning algorithms on big data
Guide and oversee deployment of implemented machine learning solutions and monitor their operation
Use Agentic AI to solve networking problems
Analyses the feature specifications and determines the required coding, testing, and integration activities
Designs and develops moderate to complex cloud application modules per feature specifications adhering to security policies
Identifies debugs and creates solutions for issues with code and integration into application architecture
Develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements
Deploy cloud-based systems and applications code using continuous integration/deployment (CI/CD) pipelines to automate cloud applications' management, scaling, and deployment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Data Scientist - Agentic

Mirakl

Location:
France , Paris ▼
Bordeaux

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 16, 2026

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