756 Lead Data Scientist jobs in Mumbai
Lead Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Job Description: Lead Data Scientist – AI Division
Locations: Mumbai, Maharashtra, India
Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM
Experience: 5 to 7 Years
Responsibilities:
Provide data science and AI expertise to design, build, and deliver scalable ML and deep
learning solutions.
Work extensively with tabular data to develop predictive models, perform feature
engineering, and optimize performance for real-world applications.
pply conventional machine learning techniques (e.g., regression, classification,
ensemble methods) alongside advanced deep learning methods.
uild and optimize deep learning models for structured and unstructured data, including
text and audio.
ead development of solutions for audio data, including classification, recognition, and
signal processing tasks.
esign, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small
Language Models), and other Generative AI solutions for diverse business
applications.
ranslate business problems into well-structured ML/AI problems and deliver actionable
insights.
eploy production-grade models with a focus on efficiency, scalability, and
maintainability.
ollaborate with cross-functional teams including product managers, engineers, and
domain experts to deliver high-impact projects.
entor junior data scientists and interns, fostering innovation and best practices.
Qualification Requirements:
Educational:
achelor’s degree with at least 7 years of experience or Master’s with at least 4 years of
experience in Data Science/ML/AI.
Pr rred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a
globally top-ranked university (as per QS).
Technical:
roven expertise working with large-scale tabular data and building machine learning
models.
trong knowledge of conventional ML algorithms (tree-based models, SVMs,
clustering, etc.).
ands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
andatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,
prompt engineering, and deployment.
roficiency in Python and libraries such as scikit-learn, pandas, NumPy.
xposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,
FastAPI, etc.).
amiliarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
xperience with Databricks is a plus.
trong understanding of MLOps practices, reproducibility, and model monitoring.
Other:
xcellent written and verbal communication skills in English.
emonstrated experience working collaboratively in cross-functional teams.
bility to balance research and production priorities while meeting deadlines.
assionate about applying AI/ML to solve diverse real-world problems, especially at the
intersection of GenAI and enterprise AI adoption.
If Intrested. Please submit your CV to or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Lead Data Scientist
Posted today
Job Viewed
Job Description
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
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-maping 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.
Requirements:
- • 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 7+ 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)
Lead Data Scientist
Posted today
Job Viewed
Job Description
What's the role?
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
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.
Who are you?
- 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)
What You'll Get
- Challenging problems to solve
- Opportunities to learn cool new things
- Work that makes a difference in the world
- Freedom to decide how to perform your work
- Variety in the types of projects
- Feedback so you will know how well you are doing
- Collaborative, Supportive Colleagues
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video
Lead Data Scientist
Posted today
Job Viewed
Job Description
What's the role?
HERE is searching for a Lead Data Scientist for our Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company.
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.
What You'll Get
- Challenging problems to solve
- Opportunities to learn cool new things
- Work that makes a difference in the world
- Freedom to decide how to perform your work
- Variety in the types of projects
- Feedback so you will know how well you are doing
- Collaborative, Supportive Colleagues
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-maing 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.
Who are you?
Requirements
- 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)
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
In this role you be part of the Content Automation group. You will work alongside high energy, innovative teams leveraging cutting edge technology to identify new technologies, processes, and sources to build the best-in-class high definition map used in autonomous driving. You will be enabling one of the largest technological and cultural shifts in the modern world, creating enhanced road safety, reduced congestion, lower emissions, and expanded mobility, paving the way for a more efficient and sustainable transportation future.
Lead Data Scientist
Posted 4 days ago
Job Viewed
Job Description
Lead Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Locations: Mumbai, Maharashtra, India
Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM
Experience: 5 to 7 Years
Responsibilities:
Provide data science and AI expertise to design, build, and deliver scalable ML and deep
learning solutions.
Work extensively with tabular data to develop predictive models, perform feature
engineering, and optimize performance for real-world applications.
Apply conventional machine learning techniques (e.g., regression, classification,
ensemble methods) alongside advanced deep learning methods.
Build and optimize deep learning models for structured and unstructured data, including
text and audio.
Lead development of solutions for audio data, including classification, recognition, and
signal processing tasks.
Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small
Language Models), and other Generative AI solutions for diverse business
applications.
Translate business problems into well-structured ML/AI problems and deliver actionable
insights.
Deploy production-grade models with a focus on efficiency, scalability, and
maintainability.
Collaborate with cross-functional teams including product managers, engineers, and
domain experts to deliver high-impact projects.
Mentor junior data scientists and interns, fostering innovation and best practices.
Qualification Requirements:
Educational:
Bachelor’s degree with at least 7 years of experience or Master’s with at least 4 years of
experience in Data Science/ML/AI.
Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a
globally top-ranked university (as per QS).
Technical:
Proven expertise working with large-scale tabular data and building machine learning
models.
Strong knowledge of conventional ML algorithms (tree-based models, SVMs,
clustering, etc.).
Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,
prompt engineering, and deployment.
Proficiency in Python and libraries such as scikit-learn, pandas, NumPy.
Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,
FastAPI, etc.).
Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
Experience with Databricks is a plus.
Strong understanding of MLOps practices, reproducibility, and model monitoring.
Other:
Excellent written and verbal communication skills in English.
Demonstrated experience working collaboratively in cross-functional teams.
Ability to balance research and production priorities while meeting deadlines.
Passionate about applying AI/ML to solve diverse real-world problems, especially at the
intersection of GenAI and enterprise AI adoption.
If Intrested. Please submit your CV to or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Lead Data Scientist
Posted today
Job Viewed
Job Description
Job Description: Lead Data Scientist – AI Division
Locations: Mumbai, Maharashtra, India
Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM
Experience: 5 to 7 Years
Responsibilities:
Provide data science and AI expertise to design, build, and deliver scalable ML and deep
learning solutions.
Work extensively with tabular data to develop predictive models, perform feature
engineering, and optimize performance for real-world applications.
pply conventional machine learning techniques (e.g., regression, classification,
ensemble methods) alongside advanced deep learning methods.
uild and optimize deep learning models for structured and unstructured data, including
text and audio.
ead development of solutions for audio data, including classification, recognition, and
signal processing tasks.
esign, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small
Language Models), and other Generative AI solutions for diverse business
applications.
ranslate business problems into well-structured ML/AI problems and deliver actionable
insights.
eploy production-grade models with a focus on efficiency, scalability, and
maintainability.
ollaborate with cross-functional teams including product managers, engineers, and
domain experts to deliver high-impact projects.
entor junior data scientists and interns, fostering innovation and best practices.
Qualification Requirements:
Educational:
achelor’s degree with at least 7 years of experience or Master’s with at least 4 years of
experience in Data Science/ML/AI.
Pr rred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a
globally top-ranked university (as per QS).
Technical:
roven expertise working with large-scale tabular data and building machine learning
models.
trong knowledge of conventional ML algorithms (tree-based models, SVMs,
clustering, etc.).
ands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
andatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,
prompt engineering, and deployment.
roficiency in Python and libraries such as scikit-learn, pandas, NumPy.
xposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,
FastAPI, etc.).
amiliarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
xperience with Databricks is a plus.
trong understanding of MLOps practices, reproducibility, and model monitoring.
Other:
xcellent written and verbal communication skills in English.
emonstrated experience working collaboratively in cross-functional teams.
bility to balance research and production priorities while meeting deadlines.
assionate about applying AI/ML to solve diverse real-world problems, especially at the
intersection of GenAI and enterprise AI adoption.
If Intrested. Please submit your CV to or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
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Lead Data Scientist
Posted today
Job Viewed
Job Description
What's the role?
In this role as a Lead Data Scientist, you will be contributing to the research of new algorithms and analysis of customer data. You will be responsible for performing statistical analyses on large datasets. You will use your software engineering skills to further develop our data analytics tools.
Your role encompasses the following key responsibilities:
Who are you?
You are a passionate engineer and are willing to quickly learn new have a unique blend of data analysis expertise and programming proficiency, with a focus on data protection and machine learning. Furthermore you have :
What we offer:
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.