519 Lead Data Scientist jobs in Mumbai
Lead Data Scientist
Mumbai, Maharashtra
UnitedHealth Group
Posted 9 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search.
**Primary Responsibilities:**
+ Own the end-to-end data science lifecycle - from problem definition and experimentation to deployment, monitoring, and continuous improvement
+ Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases
+ Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices
+ Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency
+ Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification
+ Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation
+ Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions
+ Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems
+ Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka)
+ Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation
+ Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability
+ 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 regards 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 in Computer Science or adjacent field
+ Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application)
+ 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing
+ Solid understanding of machine learning algorithms, NLP principles, and data modeling principles
+ Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT
+ Proven excellent Communication Skills
+ Proven flexibility to provide support during critical business periods
+ Proven ability to interpret and present complex data in various formats.
+ Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs
+ Proven positive team player with a drive to learn and contribute to achieving results
+ Willingness to work in varying shifts
_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._
#NJP
Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search.
**Primary Responsibilities:**
+ Own the end-to-end data science lifecycle - from problem definition and experimentation to deployment, monitoring, and continuous improvement
+ Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases
+ Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices
+ Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency
+ Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification
+ Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation
+ Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions
+ Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems
+ Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka)
+ Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation
+ Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability
+ 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 regards 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 in Computer Science or adjacent field
+ Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application)
+ 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing
+ Solid understanding of machine learning algorithms, NLP principles, and data modeling principles
+ Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT
+ Proven excellent Communication Skills
+ Proven flexibility to provide support during critical business periods
+ Proven ability to interpret and present complex data in various formats.
+ Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs
+ Proven positive team player with a drive to learn and contribute to achieving results
+ Willingness to work in varying shifts
_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._
#NJP
This advertiser has chosen not to accept applicants from your region.
0
Lead Data Scientist
Navi Mumbai, Maharashtra
Teradata
Posted 9 days ago
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
1
Lead Data Scientist
Mumbai, Maharashtra
HERE Technologies
Posted 5 days ago
Job Viewed
Job Description
The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.
Responsibilities:
- Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
- Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
- Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
- Function as a predictive modeling or application team lead on Core Map projects.
- MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
- Minimum of 8+ years related professional experience.
- Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
- Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
- Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
- Programming experience with SQL, shell script, Python, etc.
- Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
- Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
- Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.
Preferred Qualifications:
- Development experience with and Scala
- Development experience with Docker
- Development experience with GIS data
- Development experience with NoSQL (i.e. DynamoDB)
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist
Mumbai, Maharashtra
HERE Technologies
Posted today
Job Viewed
Job Description
The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.
Responsibilities:
Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
Function as a predictive modeling or application team lead on Core Map projects.
MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
Minimum of 8+ years related professional experience.
Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
Programming experience with SQL, shell script, Python, etc.
Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.
Preferred Qualifications:
Development experience with and Scala
Development experience with Docker
Development experience with GIS data
Development experience with NoSQL (i.e. DynamoDB)
Responsibilities:
Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
Function as a predictive modeling or application team lead on Core Map projects.
MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
Minimum of 8+ years related professional experience.
Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
Programming experience with SQL, shell script, Python, etc.
Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.
Preferred Qualifications:
Development experience with and Scala
Development experience with Docker
Development experience with GIS data
Development experience with NoSQL (i.e. DynamoDB)
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist
Mumbai, Maharashtra
HERE Technologies
Posted today
Job Viewed
Job Description
The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.
Responsibilities:
- Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
- Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
- Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
- Function as a predictive modeling or application team lead on Core Map projects.
- MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
- Minimum of 8+ years related professional experience.
- Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
- Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
- Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
- Programming experience with SQL, shell script, Python, etc.
- Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
- Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
- Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.
Preferred Qualifications:
- Development experience with and Scala
- Development experience with Docker
- Development experience with GIS data
- Development experience with NoSQL (i.e. DynamoDB)
This advertiser has chosen not to accept applicants from your region.
4
Lead Data Scientist
Thane, Maharashtra
Firstsource
Posted today
Job Viewed
Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Job Title: Lead Data Scientist
Mode of work : Remote
Responsibilities
- Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling.
- Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions.
- Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement.
- Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization.
- Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making.
- Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring.
- Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web).
- Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives.
- Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics.
Skill Requirements
- Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics.
- Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications.
- Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting.
- Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization.
- Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow).
- Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have)
- Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have)
- Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics.
- Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects.
- Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams.
- Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams.
Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
This advertiser has chosen not to accept applicants from your region.
5
Lead Data Scientist
Mumbai, Maharashtra
Firstsource
Posted today
Job Viewed
Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Job Title: Lead Data Scientist
Mode of work : Remote
Responsibilities
- Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling.
- Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions.
- Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement.
- Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization.
- Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making.
- Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring.
- Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web).
- Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives.
- Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics.
Skill Requirements
- Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics.
- Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications.
- Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting.
- Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization.
- Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow).
- Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have)
- Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have)
- Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics.
- Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects.
- Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams.
- Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams.
Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
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Lead Data Scientist
Mumbai, Maharashtra
UnitedHealth Group
Posted today
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Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search.
Primary Responsibilities:
Required Qualifications:
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.
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