Data Science
Bengaluru, Karnataka
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED
Posted today
Job Viewed
Job Description
Company Overview
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.
Job Overview
We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.
Qualifications and Skills
- Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
- Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
- Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
- Experience with payroll processing, reflecting an understanding of financial data management.
- Data visualization skills to communicate data insights effectively. (Mandatory skill)
- Ability to work independently and collaboratively within a team to achieve common objectives.
- Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
- Excellent communication skills, both written and verbal, to present data findings clearly.
Roles and Responsibilities
- Analyze large datasets to discover trends and patterns that support business objectives.
- Collaborate with team members to understand data requirements and design analytical solutions.
- Develop and implement data models to optimize business processes and improve operational efficiency.
- Create intuitive data visualizations and dashboards to present insights to stakeholders.
- Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
- Support the companys data-driven culture by promoting and educating team members on data importance.
- Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
- Stay updated on industry trends and advancements in data science to apply best practices.
This advertiser has chosen not to accept applicants from your region.
0
Data Science
Bengaluru, Karnataka
JAIN UNIVERSITY
Posted today
Job Viewed
Job Description
Jain University
Looking for Data science department
Should be able to handle : Computer Vision, Image Analytics,AI,ML, Deep Learning.
Qualification: BTech&Mtech, BCA& MCA
Looking For immediate joiners only
**Salary**: ₹595,380.43 - ₹4,053,872.91 per year
Ability to commute/relocate:
- Bangalore City, Karnataka: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- total work: 1 year (preferred)
**Speak with the employer**
Looking for Data science department
Should be able to handle : Computer Vision, Image Analytics,AI,ML, Deep Learning.
Qualification: BTech&Mtech, BCA& MCA
Looking For immediate joiners only
**Salary**: ₹595,380.43 - ₹4,053,872.91 per year
Ability to commute/relocate:
- Bangalore City, Karnataka: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- total work: 1 year (preferred)
**Speak with the employer**
This advertiser has chosen not to accept applicants from your region.
1
Data Science
Bengaluru, Karnataka
Microsoft
Posted today
Job Viewed
Job Description
Utilization / billing
- Security
- Sol Arch 55%
- Tech Cons 73%
- Data Science 50%
- Tech Cons 72%
- CPjM ~40%
- Sol Arch 30%
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. Driving early-stage deliveries, enhances ISD’s technical capabilities, and partnering with others to develop approaches, innovative solutions, and engineering standards in order to set our sales and delivery teams up for success. Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experience through technical and AI leadership and IP capture centered on delivery truth.
As part of the team, you will be a key leader in the largest Security team in Industry Solutions Organization, learn in a fast paced, live-site focused environment, deliver customer value with everything we do and help protect Microsoft’s enterprise customers.
The job provides an opportunity to:
- Impact on one of the fastest growing teams in Industry Solutions that is critical to the Microsoft Security strategy.
- Be part of a dynamic Security community that will enable you to learn, collaborate, and contribute with the top minds in the industry.
We are looking for someone who is highly customer focused with the right combination of curiosity, technical aptitude, and communication skills to become a Security Delivery Manager in the Security Service Line within the Industry Solutions Organization.
If this sounds like the right environment for you, please join us.
**Responsibilities**:
***Business Understanding and Impact**
- Understands problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products. Describes the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Coaches less experienced engineers in standards and best practices. Uses his or her understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights. Understands business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as Sales/Marketing, Operations, and new Data Monetization Schemes. Engages business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain. Leads customer conversations to understand, define, and solve business problems.
**Data Preparation and Understanding**:
- Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
**Modeling and Statistical Analysis**:
- Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average (ARIMA), recurrent neutral networks (RNN), long short-term memory (LSTM) networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross-validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders. Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability. Develops operational m
- Security
- Sol Arch 55%
- Tech Cons 73%
- Data Science 50%
- Tech Cons 72%
- CPjM ~40%
- Sol Arch 30%
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. Driving early-stage deliveries, enhances ISD’s technical capabilities, and partnering with others to develop approaches, innovative solutions, and engineering standards in order to set our sales and delivery teams up for success. Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experience through technical and AI leadership and IP capture centered on delivery truth.
As part of the team, you will be a key leader in the largest Security team in Industry Solutions Organization, learn in a fast paced, live-site focused environment, deliver customer value with everything we do and help protect Microsoft’s enterprise customers.
The job provides an opportunity to:
- Impact on one of the fastest growing teams in Industry Solutions that is critical to the Microsoft Security strategy.
- Be part of a dynamic Security community that will enable you to learn, collaborate, and contribute with the top minds in the industry.
We are looking for someone who is highly customer focused with the right combination of curiosity, technical aptitude, and communication skills to become a Security Delivery Manager in the Security Service Line within the Industry Solutions Organization.
If this sounds like the right environment for you, please join us.
**Responsibilities**:
***Business Understanding and Impact**
- Understands problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products. Describes the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Coaches less experienced engineers in standards and best practices. Uses his or her understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights. Understands business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as Sales/Marketing, Operations, and new Data Monetization Schemes. Engages business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain. Leads customer conversations to understand, define, and solve business problems.
**Data Preparation and Understanding**:
- Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
**Modeling and Statistical Analysis**:
- Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average (ARIMA), recurrent neutral networks (RNN), long short-term memory (LSTM) networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross-validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders. Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability. Develops operational m
This advertiser has chosen not to accept applicants from your region.
2
Data Science
Bengaluru, Karnataka
Hashone Careers
Posted today
Job Viewed
Job Description
**Key Responsibilities**:
- Develop, train, and deploy machine learning and deep learning models to solve complex business challenges.
- Utilize NLP techniques to process and analyze unstructured data, such as text and speech.
- Leverage AI technologies to enhance the automation and intelligence of data-driven processes.
- Implement large-scale data processing pipelines using PySpark to handle massive datasets.
- Design and execute experiments to test hypotheses and derive actionable insights.
- Collaborate with cross-functional teams, including data engineers and business stakeholders, to define requirements and deliver data-driven solutions.
- Continuously improve existing models and algorithms by analyzing performance and incorporating feedback.
- Stay current with industry trends, tools, and techniques in Data Science, ML, AI, and NLP to ensure state-of-the-art solutions.
**Must-Have Skills**:
- Strong foundation in Data Science concepts, statistical methods, and machine learning techniques.
- Proven expertise in Natural Language Processing (NLP) and related tools/frameworks (e.g., SpaCy, NLTK, Hugging Face).
- Hands-on experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Proficiency in PySpark for big data processing and analysis.
- Solid programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with cloud platforms such as Azure, AWS, or Google Cloud for deploying ML models.
- Excellent problem-solving skills and ability to work with large, complex datasets.
**Preferred Qualifications**:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, AI, or a related field.
- Experience in Reinforcement Learning, Computer Vision, or Generative AI.
- Familiarity with MLOps practices and tools for model deployment and monitoring.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Experience with SQL and NoSQL databases
**Job Types**: Full-time, Permanent
Pay: Up to ₹1,600,000.00 per year
**Benefits**:
- Paid time off
- Provident Fund
Schedule:
- Day shift
Supplemental Pay:
- Commission pay
- Joining bonus
**Experience**:
- total work: 4 years (preferred)
- Data science: 3 years (preferred)
Work Location: In person
- Develop, train, and deploy machine learning and deep learning models to solve complex business challenges.
- Utilize NLP techniques to process and analyze unstructured data, such as text and speech.
- Leverage AI technologies to enhance the automation and intelligence of data-driven processes.
- Implement large-scale data processing pipelines using PySpark to handle massive datasets.
- Design and execute experiments to test hypotheses and derive actionable insights.
- Collaborate with cross-functional teams, including data engineers and business stakeholders, to define requirements and deliver data-driven solutions.
- Continuously improve existing models and algorithms by analyzing performance and incorporating feedback.
- Stay current with industry trends, tools, and techniques in Data Science, ML, AI, and NLP to ensure state-of-the-art solutions.
**Must-Have Skills**:
- Strong foundation in Data Science concepts, statistical methods, and machine learning techniques.
- Proven expertise in Natural Language Processing (NLP) and related tools/frameworks (e.g., SpaCy, NLTK, Hugging Face).
- Hands-on experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Proficiency in PySpark for big data processing and analysis.
- Solid programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with cloud platforms such as Azure, AWS, or Google Cloud for deploying ML models.
- Excellent problem-solving skills and ability to work with large, complex datasets.
**Preferred Qualifications**:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, AI, or a related field.
- Experience in Reinforcement Learning, Computer Vision, or Generative AI.
- Familiarity with MLOps practices and tools for model deployment and monitoring.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Experience with SQL and NoSQL databases
**Job Types**: Full-time, Permanent
Pay: Up to ₹1,600,000.00 per year
**Benefits**:
- Paid time off
- Provident Fund
Schedule:
- Day shift
Supplemental Pay:
- Commission pay
- Joining bonus
**Experience**:
- total work: 4 years (preferred)
- Data science: 3 years (preferred)
Work Location: In person
This advertiser has chosen not to accept applicants from your region.
3
Data Science Data Designer
Bengaluru, Karnataka
Accenture
Posted today
Job Viewed
Job Description
**Project Role**:Data Designer
- ** Project Role Description**:Utilizes data science methodology to inform the design research process. Employs statistical and quantitative data analysis to enhance solution development.
- ** Management Level**:7
- ** Work Experience**:12-15 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **
Technical Experience **:A: Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas B:Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB C:Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure
- **
Professional Attributes **:Good Communication skills, Good in Analytics and collaboration
- **
Educational Qualification **:std Accenture requirements
15 years of full time education
- ** Project Role Description**:Utilizes data science methodology to inform the design research process. Employs statistical and quantitative data analysis to enhance solution development.
- ** Management Level**:7
- ** Work Experience**:12-15 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **
Technical Experience **:A: Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas B:Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB C:Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure
- **
Professional Attributes **:Good Communication skills, Good in Analytics and collaboration
- **
Educational Qualification **:std Accenture requirements
15 years of full time education
This advertiser has chosen not to accept applicants from your region.
4
Analyst - Data Science
Bangalore, Karnataka
Diageo
Posted today
Job Viewed
Job Description
**Job Description :**
+ **Job Title:** Analyst Data Science **About** **us** : With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.Join us to create a career worth celebrating. **About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. **About the role** **: Experience / skills required:**
+ 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
+ Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
+ Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
+ Strong language coding skills required in Python/pyspark.
+ Knowledge & experience in SQL database & MLOps.
+ Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
+ Good to have skills in Natural Language Processing, Big Data Analytics, etc.
+ Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
+ Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
+ Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results
+ **Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.Feel inspired? Then this may be the opportunity for you. _If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
+ **Job Title:** Analyst Data Science **About** **us** : With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.Join us to create a career worth celebrating. **About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. **About the role** **: Experience / skills required:**
+ 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
+ Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
+ Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
+ Strong language coding skills required in Python/pyspark.
+ Knowledge & experience in SQL database & MLOps.
+ Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
+ Good to have skills in Natural Language Processing, Big Data Analytics, etc.
+ Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
+ Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
+ Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results
+ **Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.Feel inspired? Then this may be the opportunity for you. _If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
This advertiser has chosen not to accept applicants from your region.
5
Data Science Advisor
Bengaluru, Karnataka
Dell Technologies
Posted 3 days ago
Job Viewed
Job Description
Data Science Advisor
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in **India.**
**What you'll achieve**
As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
**You will:**
+ Assist in building and maintaining Bayesian Marketing Mix Models to measure the effectiveness of media and marketing activities.
+ Support data preparation, cleaning, and transformation of large marketing datasets (e.g., media spend, impressions, sales).
+ Create visualizations to present data findings in a clear and actionable manner.
+ Run experiments and model diagnostics to validate results and ensure robustness
+ Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions.
+ Creating and maintaining custom built libraries.
+ Maintaining version control of artifacts (Github)
**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
**Essential Requirements**
+ Bachelor's degree in data science/computer science/information technology, or a related field.
+ Exposure to Bayesian statistics through academic coursework, projects, or internships.
+ Proficiency in R tidyverse and SQL
+ Strong understanding of statistical concepts such as regression, priors/posteriors, and uncertainty quantification.
**Desirable Requirements**
+ Comfortable working with data: querying, cleaning, and transforming.
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in **India.**
**What you'll achieve**
As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
**You will:**
+ Assist in building and maintaining Bayesian Marketing Mix Models to measure the effectiveness of media and marketing activities.
+ Support data preparation, cleaning, and transformation of large marketing datasets (e.g., media spend, impressions, sales).
+ Create visualizations to present data findings in a clear and actionable manner.
+ Run experiments and model diagnostics to validate results and ensure robustness
+ Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions.
+ Creating and maintaining custom built libraries.
+ Maintaining version control of artifacts (Github)
**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
**Essential Requirements**
+ Bachelor's degree in data science/computer science/information technology, or a related field.
+ Exposure to Bayesian statistics through academic coursework, projects, or internships.
+ Proficiency in R tidyverse and SQL
+ Strong understanding of statistical concepts such as regression, priors/posteriors, and uncertainty quantification.
**Desirable Requirements**
+ Comfortable working with data: querying, cleaning, and transforming.
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
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6
Director, Data Science
Bangalore, Karnataka
Conduent
Posted 11 days ago
Job Viewed
Job Description
Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.
**Job Description for Analytics Leader in Integrated Business Solutions - IBS:**
**Position Overview**
The Director of Analytics and Reporting will spearhead our data analytics strategy for our **IBS (Integrated Business solutions)** offerings, transforming operational data into strategic insights that demonstrate business value to clients and drive continuous service improvement. This role will be pivotal in measuring process efficiencies, service level performance, and business outcomes across our **IBS (Integrated Business solutions)** portfolio, ensuring our solutions deliver measurable ROI to clients.
**Key Responsibilities**
+ **IBS Performance Analytics** : Design and implement comprehensive analytics frameworks to measure, track, and optimize the performance of our IBS solutions across multiple client engagements
+ **Client Value Measurement** : Develop methodologies to quantify the business impact and ROI of our IBS solutions for clients, including cost savings, efficiency gains, and business outcome improvements
+ **Operational Excellence** : Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across service delivery operations
+ **Service Level Reporting** : Create sophisticated dashboards and reporting systems to track SLA compliance, KPIs, and performance metrics for client-facing and internal stakeholders
+ **Predictive Analytics** : Implement predictive models to forecast service volumes, resource needs, potential process bottlenecks, and emerging client requirements
+ **Benchmarking & Industry Insights** : Establish benchmarking frameworks to compare performance across clients, industries, and against market standards to drive continuous improvement
+ **Client Analytics Services** : Collaborate with Product and Sales teams to develop value-added analytics offerings that enhance the core IBS solutions and create additional revenue streams
+ **Team Leadership** : Build and lead a cross-functional team of data analysts, data scientists, and reporting specialists focused on IBS performance analytics
+ **Technology Integration** : Partner with IT and Product Development teams to ensure analytics requirements are embedded in our IBS platforms and data architecture
+ **Change Management** : Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights
**Qualifications:**
+ **Experience** : 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles
+ **Education** : Bachelor's degree required; Master's degree in Business Analytics, Operations Management, Data Science, Statistics, or related field preferred
+ **Technical Skills** : Strong proficiency in data analysis tools and languages (SQL, Python, R)
+ Experience with BI visualization platforms (Tableau, Power BI)
+ Knowledge of process mining and automation analytics tools (Celonis, Automation Anywhere, UiPath Insights, etc.)
+ Understanding of ERP systems data structures and business process flows
+ **Domain Knowledge** : Experience with IBS, BPO, or managed services business models
+ Understanding of service delivery metrics, SLAs, and operational KPIs
+ Familiarity with process improvement methodologies (Lean, Six Sigma)
+ **Leadership** : Proven ability to build and lead high-performing analytics teams in a service delivery environment
+ **Client Orientation** : Experience translating complex operational data into client-facing insights and value demonstrations
+ **Strategic Acumen** : Ability to connect analytics initiatives with business strategy and service delivery excellence
**Ideal Candidate Attributes:**
+ Process excellence mindset with ability to identify efficiency opportunities through data
+ Business-focused approach to analytics that emphasizes outcome measurement and value creation
+ Client-centric perspective on how analytics can enhance service delivery and demonstrate value
+ Collaborative leadership style that can influence across delivery teams, technology groups, and client stakeholders
+ Innovative thinker who can envision new ways to leverage data for IBS differentiation and growth
Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form ( . Complete the form and then email it as an attachment to . You may also click here to access Conduent's ADAAA Accommodation Policy ( .
**Job Description for Analytics Leader in Integrated Business Solutions - IBS:**
**Position Overview**
The Director of Analytics and Reporting will spearhead our data analytics strategy for our **IBS (Integrated Business solutions)** offerings, transforming operational data into strategic insights that demonstrate business value to clients and drive continuous service improvement. This role will be pivotal in measuring process efficiencies, service level performance, and business outcomes across our **IBS (Integrated Business solutions)** portfolio, ensuring our solutions deliver measurable ROI to clients.
**Key Responsibilities**
+ **IBS Performance Analytics** : Design and implement comprehensive analytics frameworks to measure, track, and optimize the performance of our IBS solutions across multiple client engagements
+ **Client Value Measurement** : Develop methodologies to quantify the business impact and ROI of our IBS solutions for clients, including cost savings, efficiency gains, and business outcome improvements
+ **Operational Excellence** : Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across service delivery operations
+ **Service Level Reporting** : Create sophisticated dashboards and reporting systems to track SLA compliance, KPIs, and performance metrics for client-facing and internal stakeholders
+ **Predictive Analytics** : Implement predictive models to forecast service volumes, resource needs, potential process bottlenecks, and emerging client requirements
+ **Benchmarking & Industry Insights** : Establish benchmarking frameworks to compare performance across clients, industries, and against market standards to drive continuous improvement
+ **Client Analytics Services** : Collaborate with Product and Sales teams to develop value-added analytics offerings that enhance the core IBS solutions and create additional revenue streams
+ **Team Leadership** : Build and lead a cross-functional team of data analysts, data scientists, and reporting specialists focused on IBS performance analytics
+ **Technology Integration** : Partner with IT and Product Development teams to ensure analytics requirements are embedded in our IBS platforms and data architecture
+ **Change Management** : Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights
**Qualifications:**
+ **Experience** : 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles
+ **Education** : Bachelor's degree required; Master's degree in Business Analytics, Operations Management, Data Science, Statistics, or related field preferred
+ **Technical Skills** : Strong proficiency in data analysis tools and languages (SQL, Python, R)
+ Experience with BI visualization platforms (Tableau, Power BI)
+ Knowledge of process mining and automation analytics tools (Celonis, Automation Anywhere, UiPath Insights, etc.)
+ Understanding of ERP systems data structures and business process flows
+ **Domain Knowledge** : Experience with IBS, BPO, or managed services business models
+ Understanding of service delivery metrics, SLAs, and operational KPIs
+ Familiarity with process improvement methodologies (Lean, Six Sigma)
+ **Leadership** : Proven ability to build and lead high-performing analytics teams in a service delivery environment
+ **Client Orientation** : Experience translating complex operational data into client-facing insights and value demonstrations
+ **Strategic Acumen** : Ability to connect analytics initiatives with business strategy and service delivery excellence
**Ideal Candidate Attributes:**
+ Process excellence mindset with ability to identify efficiency opportunities through data
+ Business-focused approach to analytics that emphasizes outcome measurement and value creation
+ Client-centric perspective on how analytics can enhance service delivery and demonstrate value
+ Collaborative leadership style that can influence across delivery teams, technology groups, and client stakeholders
+ Innovative thinker who can envision new ways to leverage data for IBS differentiation and growth
Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form ( . Complete the form and then email it as an attachment to . You may also click here to access Conduent's ADAAA Accommodation Policy ( .
This advertiser has chosen not to accept applicants from your region.
7
Data Science Trainer
Bengaluru, Karnataka
CloudThat
Posted 12 days ago
Job Viewed
Job Description
About CloudThat:-
At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have.
Role Overview:-
We are looking for a passionate and experienced Technical Trainer to join our expert team and help drive knowledge adoption across our customers, partners, and internal teams.
Key Responsibilities:
• Deliver high-quality, engaging technical training sessions — both in-person and virtually — to customers, partners, and internal teams.
• Design and develop training content, labs, and assessments based on business and technology requirements.
• Collaborate with internal and external SMEs to draft course proposals aligned with customer needs and current market trends.
• Assist in training and onboarding of other trainers and subject matter experts to ensure quality delivery of training programs.
• Create immersive lab-based sessions using diagrams, real-world scenarios, videos, and interactive exercises.
• Develop instructor guides, certification frameworks, learner assessments, and delivery aids to support end-to-end training delivery.
• Integrate hands-on project-based learning into courses to simulate practical environments and deepen understanding.
• Support the interpersonal and facilitation aspects of training — fostering an inclusive, engaging, and productive learning environment
Skills & Qualifications:
• Exposure to AI model development, MLOps pipelines, or data science workflows.
• Experience developing content for professional certifications or enterprise skilling programs.
• Instructional design knowledge or training certifications (e.g., , Microsoft MCT, or similar).
• Minimum: Bachelor's degree in computer science, Engineering, Mathematics, or related field, or equivalent practical experience.
Technical Competencies:
Strong command over tools and technologies such as:
- Programming in Python, including use of NumPy, Pandas, matplotlib, seaborn
- GPU programming knowledge (CUDA, RAPIDS) is a strong plus
- Familiarity with cloud platforms like AWS, Azure, or GCP
- Experience on Kubernetes, Docker, Git
- GPU programming knowledge (CUDA, RAPIDS) is a strong plus
Behavioural Competencies:
• Excellent communication
• Ability to work collaboratively across departments in a fast-paced, matrixed environment.
• Proven ability to deliver technical training and presentations to a range of audiences, from beginners to experts.
•Strong analytical and problem-solving skills
This advertiser has chosen not to accept applicants from your region.
8
Data Science Manager
Bengaluru, Karnataka
Worko
Posted 12 days ago
Job Viewed
Job Description
This role is for one of worko's clients, a leading E-commerce platform:
About the role
Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Data Science Manager to lead a team of skilled data scientists in building intelligent systems that power our client's next phase of growth.
In this role, you’ll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You’ll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you’ll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement.
Key Responsibilities
- Lead, grow, and mentor a high-performing team of data scientists and ML engineers.
- Own all data science systems and models in your charter — from strategy to deployment and monitoring.
- Collaborate with senior product, engineering, and business leaders to define and prioritize impactful DS initiatives.
- Drive platformization, system architecture decisions, and ML lifecycle improvements across the charter.
- Ensure model scalability, performance, and cost efficiency, while upholding best practices in experimentation and statistical rigor.
- Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy decisions.
- Lead RCA for critical production issues and improve system observability, documentation, and service uptime.
Requirements
- Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
- 8+ years of experience in Data Science or Analytics, with at least 2–3 years of people management experience.
- Proven track record of building and deploying ML models in production at scale.
- Experience managing teams of 4+ data scientists/engineers and delivering across cross-functional charters.
- Deep expertise in ML algorithms, experimental design, and performance monitoring.
- Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
- Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
- Strong communication and stakeholder management skills with a bias for action and clarity in execution.
Mandatory Requirements
- Master’s degree in Machine Learning, Statistics, Computer Science, or related quantitative field
- 8+ years of experience in Data Science or Analytics
- 2–3 years of people management experience
- Proven track record of building and deploying ML models in production at scale
- Experience managing teams of 4+ data scientists/engineers
- Deep expertise in ML algorithms, experimental design, and performance monitoring
- Strong coding skills (Python, SQL)
- Familiarity with Big Data technologies like Spark, Hive, or Redshift
- Ability to translate business needs into technical solutions
- Strong communication and stakeholder management skills
Preferred Requirements
- Experience leading ML initiatives in B2C or e-commerce settings
- Contributions to internal tools, open-source libraries, or research publications
- Experience in personalization, recommendations, ranking, or supply chain ML problems
- Strong understanding of ML system performance trade-offs
Salary
100-120 lpa
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