899 Lead Data Scientist jobs in Hyderabad
Lead Data Scientist
Posted 3 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
Lead Data Scientist
Posted 9 days ago
Job Viewed
Job Description
**Primary Responsibilities:**
+ Drive client value by:
+ Creating innovative solutions driven by exploratory data analysis from diverse datasets
+ Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
+ Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
+ Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
+ Leading efforts for applied use of machine learning to drive process optimization and transformation
+ Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
+ Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
+ Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
+ Communicate the performance of the machine learning algorithms across an interdisciplinary team
+ Create impact at scale by:
+ Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
+ Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
+ Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
+ Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
+ Ensuring complex analytics adhere to statistical best practices
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 8+ years of combined experience in data science, data enrichment, and advanced modeling
+ 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
+ 8+ years of experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
+ 5+ years of experience managing complex data projects and programs
+ 5+ years of experience creating healthcare analytics
+ Hands on experience in Microsoft Azure, Databricks, Mlflow and model deployment frameworks
+ Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
+ linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs
+ Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
+ Proven excellent communication and presentation skills
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NIC #NJP
Lead Data Scientist
Posted 9 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
Lead Data Scientist
Posted today
Job Viewed
Job Description
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire AI/ML Professionals in the following areas :
Designation: Lead Data Scientist
We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making.
Experience:
8–11 Years
Job Type:
Full-time
Responsibilities
- End-to-end delivery ownership of ML and GenAI use cases.
- Architect RAG pipelines and build enterprise-scale GenAI accelerators.
- Collaborate with architects and presales teams.
- Ensure code modularity, testability, and governance.
Required Skills
- LangChain, LangGraph, embedding techniques, prompt engineering.
- Classical ML: XGBoost, Random Forest, time-series forecasting.
- Knowledge of Python ML stack and FastAPI.
- Strong understanding of security and cloud optimization.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture
Lead Data Scientist
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.).
- Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels.
- Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights.
- Build predictive models to forecast the impact of future marketing activities and recommend budget allocation.
- Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
- Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement.
- Ensure data integrity, accuracy, and consistency in all analyses and models.
- Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science.
- Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration.
- Create and maintain documentation for all models, methodologies, and analysis processes.
Qualifications
- Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.
- Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics.
- Strong proficiency in statistical modeling techniques (e.g., regression analysis, time-series modeling) and data analysis.
- Hands-on experience with tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI).
- Familiarity with marketing data sources (e.g., Nielsen, IRI, social media data, CRM, etc.).
- Excellent problem-solving skills and a strong analytical mindset.
- Ability to translate complex data into actionable insights and recommendations for business stakeholders.
- Strong communication skills with the ability to present findings to both technical and non-technical audiences.
- Experience working in a fast-paced, data-driven environment.
- Familiarity with machine learning techniques and frameworks is a plus.
Preferred Qualifications:
- Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of marketing attribution models, customer segmentation, and lifetime value (LTV) analysis.
- Experience in running A/B tests and controlled experiments.
- Prior experience in a consulting or marketing agency environment is a plus.
Lead Data Scientist
Posted today
Job Viewed
Job Description
About the Role:
We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services. The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions.
Key Responsibilities:
- Design and develop ML, NLP, and GenAI models to solve complex business problems.
- Build, train, and optimize AI models using Python and relevant ML frameworks.
- Cloud experience in GCP/Azure
- Develop and integrate APIs for real-time model inference and decision-making.
- Work with large-scale data to extract insights and drive strategic initiatives.
Required Skills & Qualifications:
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience in NLP techniques, including transformers, embeddings, and text processing.
- Expertise in Generative AI models (GPT, BERT, LLMs, RAG etc.).
- Strong knowledge of GCP/Azure
- Experience in developing APIs for model deployment and integration.
- Familiarity with CI/CD pipelines for AI/ML models.
- Strong background in statistical analysis, data mining, and data visualization.
Lead Data Scientist
Posted today
Job Viewed
Job Description
About Providence
Providence, one of the US's largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, 'Health for a better world', Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.
Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.
Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.
Why Us?
- Best In-class Benefits
- Inclusive Leadership
- Reimagining Healthcare
- Competitive Pay
- Supportive Reporting Relation
How is this team contributing to vision of Providence?
- Ensure a continual and seamless service for customers regardless of which services they access.
What will you be responsible for?
- End-to-end development and quality of solutions and services in conversational & Agentic AI capability
- Understanding and Implementing advanced techniques in Agentic AI & Conversational AI Frameworks.
- Introduce best practices in AI Frameworks.
What would your day look like?
- Lead the design and development of Agentic AI Frameworks, models and systems, ensuring high performance and scalability.
- Good in Python, RestAPI and data structure skills
- Fine-tune and optimize pre-trained large language models (LLMs) such as GPT, LLAMA, Falcon, and Mistral.
- Implement and manage model quantization techniques (e.g., GPTQ, AWQ, 8-bit/4-bit models) to enhance model efficiency.
- Utilize Langchain, Dagster etc for orchestration and memory management in agentic applications.
- Conduct thorough model evaluations using metrics such as BLEU, ROUGE, and perplexity to ensure model quality and performance.
- Develop and maintain systems for intent recognition, entity extraction, and generative dialogue management.
- Stay updated with the latest advancements in NLP and AI technologies and apply them to ongoing projects.
- Mentor and guide junior engineers, fostering a culture of continuous learning and innovation.
Who are we looking for?
- Minimum 6 years of experience in Programming Languages & AI Platforms
- Strong understanding of deep learning fundamentals, including LSTM, RNN, ANN, POS tagging, and Transformer models.
- Strong understanding and proficiency in Agentic AI Frameworks.
- Proven experience in fine-tuning pre-trained LLMs (e.g., GPT, LLAMA, Falcon, Mistral) and Quantization.
- Knowledge of model quantization techniques (GPTQ, AWQ, 8-bit/4-bit models).
- Proficiency in using orchestration frameworks, state and memory management.
- Experience with model evaluation metrics such as BLEU, ROUGE, and perplexity.
- Understanding of intent recognition, entity extraction, and generative dialogue management systems.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- Good Understanding with Azure AI Foundary, Azure AI search, Indexing
- Knowledge in Kubernetes is good to have.
- Knowledge of Microsoft Event Hubs or Kafka Technologies
- Experience with load testing and unit testing tools.
- Proficient understanding source control and code versioning tools such as GIT, Azure DevOps etc.
- Familiarity with CICD and DevOps.
Providence's vision to create 'Health for a Better World' aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization's success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.
Contact our Integrity hotline also, read our Code of Conduct.
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Lead Data Scientist
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Design and Develop Machine Learning/Deep Learning Models: Design, develop, and deploy machine learning and deep learning models using various techniques such as supervised, unsupervised, and reinforcement learning.
Notice Period:-30 Days
Lead Data Scientist
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Lead Data Scientist - AI/ML Job
Date: Aug 26, 2025
Job Requisition Id: 62336
Location:
Hyderabad, TG, IN Pune, MH, IN Pune, IN Indore, MP, IN
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire AI/ML Professionals in the following areas :
Designation: Lead Data Scientist
We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making.
Experience:
8–11 Years
Job Type:
Full-time
*Responsibilities: *
- End-to-end delivery ownership of ML and GenAI use cases.
- Architect RAG pipelines and build enterprise-scale GenAI accelerators.
- Collaborate with architects and presales teams.
- Ensure code modularity, testability, and governance.
*Required Skills: *
- LangChain, LangGraph, embedding techniques, prompt engineering.
- Classical ML: XGBoost, Random Forest, time-series forecasting.
- Knowledge of Python ML stack and FastAPI.
- Strong understanding of security and cloud optimization.
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- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
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- Stable employment with a great atmosphere and ethical corporate culture
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Lead Data Scientist
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Job Description
Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members.
As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems.
Job responsibilities
- You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
- You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
- You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
- You will design, develop and implement data science strategies that drive measurable business results.
- You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action.
- You will use quality metrics to select machine learning models that will be deployed in the production environment.
- You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
- You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization.
- You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility).
- You will work with CD4ML practices and data versioning tools.
Job Qualifications
Technical Skills
- You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models.
- You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects.
- You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc).
- You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test.
- You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.
- You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships.
- You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes.
- You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability.
- You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations.
- You ensure compliance with data privacy regulations and ethical standards when handling sensitive information.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we're pushing boundaries through our purposeful and impactful work. For 30+ years, we've delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let's be extraordinary.
See here our AI policy.