Senior Data Scientist Job at NTT DATA (Chennai)

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Senior Data Scientist

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Everett

Salary:

137700.00 - 234600.00 USD / Year

Boeing

Expiration Date

June 11, 2026

Requirements

Level 3: 5+ years of professional experience in data science, advanced analytics, or machine learning roles
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field
Strong proficiency in Python or R, and advanced SQL for data manipulation and querying
Proficient in developing, testing, and deploying machine learning algorithms (supervised/unsupervised), statistical modeling, and data cleaning/preprocessing techniques
Proficient in tools like Tableau, Power BI, Matplotlib, DataIku
Strong communication skills to translate complex models to tangible business recommendations
Familiarity with Knowledge Graphs like Neo4j/ArangoDB and how to create Ontologies from Datasets
Experience with integrating APIs into ETL pipelines

Job Responsibility

Develop and build Artificial Intelligence (AI) and Machine Learning (ML) products and services
Work effectively with cross-functional teams to generate, test, and deploy models into existing business workflows, solutions, and tools to accelerate the business forward
Translate opaque model outputs to tangible real-world business outcomes

What we offer

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Programs that provide for both paid and unpaid time away from work
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match when you support your favorite nonprofit organizations

Fulltime

!

Senior Data Scientist

At Data Idols, we are working with a high-growth technology business using advan...

Location

United Kingdom , London

Salary:

100000.00 - 130000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong Python and SQL skills
Experience building machine learning models or scalable data products
Experience working with large or complex datasets
Strong communication and stakeholder management skills
Comfortable solving ambiguous business and technical problems
Experience in fast-paced, product-led or technology environments
Experience with geospatial, mapping, routing or operational data (desirable)

Job Responsibility

Define and deliver data products that support operational decision-making, optimisation and intelligent systems development
Work across large-scale datasets to uncover patterns, build predictive models and develop scalable data solutions that directly influence business performance and product strategy
Work closely with Engineering, Product and Data teams

Fulltime

Senior Data Scientist

The Windows and Devices mission is to build innovative, trusted, and open produc...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR equivalent experience.

Job Responsibility

Partner with business stakeholders, Solution Managers, TPMs, and engineering teams to deeply understand business context, identify high-value AI opportunities, and design intelligent solutions that deliver measurable business outcomes
Frame complex operational problems into well-defined analytical and technical approaches, bridging business needs with production-ready AI capabilities
Architect and build production-grade AI systems (ML/DL, GenAI, optimization) using Azure AI, open-source, and custom models with full ownership from prototype to deployment
Drive engineering excellence: establish standards for code quality, MLOps, observability, testing, and secure deployment across the team
Evaluate emerging AI tools/frameworks
advise on adoption decisions
Represent MDO as a technical SME in cross-Microsoft AI initiatives
Mentor and coach team members, raising the technical bar and fostering rigorous, inclusive innovation

Fulltime

Senior Data Scientist

At myPOS, we’re all about helping businesses grow and get paid. We make payments...

Location

Bulgaria , Sofia

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

MSc or PhD in Computer Science, Statistics, Applied Mathematics, Econometrics or a related quantitative field (or equivalent commercial experience)
7+ years of applied data science and ML experience in a commercial environment, with a strong portfolio of models in production that drove measurable business outcomes
Expert Python for data science and ML engineering: pandas, scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow
clean, tested, modular code as a default
Deep expertise across the ML methodological spectrum: survival analysis, time-series and sequence modelling, uplift and causal inference, anomaly detection, and recommendation systems
Proven end-to-end ownership of at least three of: CLTV models, churn models, propensity models, fraud/risk models, recommendation or NBA systems - in a production commercial setting
Strong MLOps capability: feature stores, model registries, model serving infrastructure, drift monitoring, and CI/CD for ML pipelines
Deep SQL and data platform proficiency (GCP / BigQuery strongly preferred)
experience with streaming architectures for real-time feature generation
Hands-on expertise building LLM-powered applications: RAG pipelines, tool-use agents, multi-agent orchestration, and agent evaluation frameworks

Job Responsibility

Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
Lead the NMLP engine — designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations

What we offer

Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full "Luxury" package health insurance including dental care and optical glasses
Meal vouchers of 102.26 EUR per month
Fully covered Multisport card
Fully covered public transport pass for Sofia
Free coffee, snacks and drinks at the office
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning

Fulltime

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...

Location

Greece

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

5+ years shipping ML models to production
Deep demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference
Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation)
Strong software engineering habits
Comfort with ambiguity
Clear communication

Job Responsibility

Design and run training pipelines
Build and maintain production inference services
Architect agentic AI systems
Work across the stack when needed
Set technical direction for your workstream
Mentor and set quality standards for junior scientists

What we offer

Benefits healthcare
Remote working
Truly flexible working hours
Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture
Transparent and open culture
Development - focus on bringing the best out of each other

Fulltime

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

5+ years shipping ML models to production — you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes
Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference
Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation)
Strong software engineering habits — version control, testing, code review, CI/CD
Comfort with ambiguity
Clear communication

Job Responsibility

Design and run training pipelines — data curation, model selection, hyperparameter search, ablation studies — and be accountable for model quality on live traffic
Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base
Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi-step LLM workflows
Work across the stack when needed — write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift
Set technical direction for your workstream: write design docs, make build-vs-buy decisions, and defend your approach with evidence
Mentor and set the quality standards for junior scientists

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects
People oriented culture

Fulltime

Senior Data Scientist

We are currently seeking a Senior Data Scientist to join our team in Chennai, Ta...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience supporting data science projects in a consulting environment
7+ 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
7+ years of experience using Python and/or R to analyze disparate datasets
Must have ability to both drive development as an individual developer as well as oversee more junior developers

Job Responsibility

Driving new data insights to uncover business opportunities & revenue streams
Have a firm understanding of statistics and data visualization for communication
Have an understanding of business growth areas & how to utilize important data
Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions
Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable
Be experienced in Data Wrangling and Dynamic Model Tuning
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

Fulltime

Senior Data Scientist

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, develop, evaluate, and ship production ML models and applied AI systems (including LLM- and agent-based approaches) for compromise detection, fraud, and anti-abuse scenarios
Own detection problems end-to-end: problem framing, data exploration, feature engineering, modeling, offline/online evaluation, deployment, and post-launch monitoring
Analyze large-scale identity and security telemetry to identify attacker behavior, quantify risk, and uncover new detection opportunities
Define and run rigorous experiments (e.g., A/B tests, shadow evaluations) and establish quality, monitoring, and responsible-AI standards for the models you own
Partner with engineering to ensure models are scalable, reliable, observable, and maintainable in production
Collaborate with product management, security researchers, and partner teams to translate ambiguous security problems into clear metrics, roadmaps, and shipped solutions
Communicate insights, results, and tradeoffs clearly to technical and non-technical stakeholders, using strong data storytelling and visualization
Contribute to the technical growth of the team through design reviews, mentoring, and raising the engineering and science bar

Fulltime

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