CrawlJobs Logo
YASH TECHNOLOGIES CONSULTING INC. Logo YASH TECHNOLOGIES CONSULTING INC. · IT - Software Development

Senior Data Scientist

India, Hyderabad · Job Posted June 04, 2026
Apply Position
Job Link Share

Job Description

We are seeking an experienced Senior Data Scientist to design, develop, and deploy advanced machine learning and AI solutions. In this role, you will work closely with cross-functional teams and business stakeholders to translate complex data into actionable insights, while ensuring best practices in data science, MLOps, and scalable AI systems.

Job Responsibility

  • Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI
  • Develop data strategies including preprocessing, feature engineering, and scalable data pipelines
  • Apply MLOps best practices for model development, deployment, and monitoring
  • Collaborate with stakeholders to understand business problems and define data-driven solutions
  • Stay current with the latest advancements in AI/ML and evaluate their potential applications
  • Ensure models are explainable, ethical, and compliant with regulatory requirements

Requirements

  • Strong foundation in Mathematics, Statistics, and Machine Learning theory
  • Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
  • Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers)
  • Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive)
  • Strong knowledge of SQL and building data pipelines
  • Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform)
  • Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot)
  • Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring)
  • Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field
  • 4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments

Nice to have

  • Programming experience in Java/Scala/R
  • Familiarity with web/backend integration (REST APIs, Django, FastAPI, Spring Boot)
  • Knowledge of data governance, ethics, and compliance in AI
  • Strong business acumen and ability to translate insights into strategies
  • Excellent communication and collaboration skills
YASH TECHNOLOGIES CONSULTING INC. - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Data Scientist

8 matching positions

New

Senior Data Scientist

The Bing organization is looking for a senior data and applied scientist. The te...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR equivalent experience
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR equivalent experience
  • Experience with SQL-like query languages
  • Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++
Job Responsibility
Job Responsibility
  • Develop highly accurate forecast models powering insights for business and product risks and opportunities
  • Drive impact analysis for features critical to agile course correction and business investments
  • Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals
  • Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria
  • Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends
  • Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

At Boeing, we innovate and collaborate to make the world a better place. We’re c...
Location
Location
United States , Everett
Salary
Salary:
137700.00 - 234600.00 USD / Year
boeing.com Logo
Boeing
Expiration Date
June 11, 2026
Flip Icon
Requirements
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
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
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
Read More
Arrow Right
New

Senior Data Scientist

You will join a team of data scientists developing the next generation of Genius...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
geniussports.com Logo
Genius Sports
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
  • Expert understanding of probability and statistics fundamentals
  • Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
  • Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems
  • Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements
  • Mentoring of other team members, helping them develop their skills and deliver effectively
  • Curiosity and strong desire to learn and improve
  • Social skills, being able to act as a facilitator, can balance enabling others with individual contributions
  • Time management and asynchronous communication skills relevant for a geographically diverse engineering organization
  • Enthusiasm and ability to work collaboratively within a team
Job Responsibility
Job Responsibility
  • Join a team of data scientists developing the next generation of Genius Sports’ market leading sports models
  • Prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes
  • Play a major role in developing and implementing predictive models across all major sporting codes
  • Join a specially formed, highly skilled team delivering an innovative & intelligent product
  • Form part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager
  • Work closely to the fundamental principles of continuous delivery and empowered, high-performing teams
  • Operate in a squad model to allow focus on the business top priorities
  • Collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach
What we offer
What we offer
  • Competitive salary and range of benefits
  • Committed to supporting employee wellbeing and helping you grow your skills, experience and career
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

At Data Idols, we are working with a high-growth technology business using advan...
Location
Location
United Kingdom , London
Salary
Salary:
100000.00 - 130000.00 GBP / Year
dataidols.com Logo
Data Idols
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Senior Data Scientist

The Windows and Devices mission is to build innovative, trusted, and open produc...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Senior Data Scientist

At myPOS, we’re all about helping businesses grow and get paid. We make payments...
Location
Location
Bulgaria , Sofia
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...
Location
Location
Greece
Salary
Salary:
Not provided
satalia.com Logo
Satalia
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
satalia.com Logo
Satalia
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right