665 Data Science jobs in Bengaluru
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
Advisor- Data Science
Bengaluru, Karnataka
Dell Technologies
Posted today
Job Viewed
Job Description
**Advisor - Data Science**
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 **Advisor** on our **Data Science** Team in **Bangalore**
**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:**
+ Partner with internal and external teams to understand customer requirements and develop proposals
+ Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights
+ Implement preliminary data exploration and data preparation steps for model development/validation
+ Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
+ Solution, build, deploy and setup monitoring for models.
**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**
+ 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI.
+ Working experience in data visualization (e.g., Power BI, matplotlib, plotly).
+ Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB.
+ Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management.
+ Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks.
**Desirable Requirements**
+ Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ).Experience with cloud platforms (e.g., AWS, Azure, GCP)
+ Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django).Skilled in programming languages like Java or JavaScript.
**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.
**Application closing date: 31 July 2025**
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:** R260848
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 **Advisor** on our **Data Science** Team in **Bangalore**
**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:**
+ Partner with internal and external teams to understand customer requirements and develop proposals
+ Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights
+ Implement preliminary data exploration and data preparation steps for model development/validation
+ Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
+ Solution, build, deploy and setup monitoring for models.
**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**
+ 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI.
+ Working experience in data visualization (e.g., Power BI, matplotlib, plotly).
+ Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB.
+ Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management.
+ Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks.
**Desirable Requirements**
+ Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ).Experience with cloud platforms (e.g., AWS, Azure, GCP)
+ Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django).Skilled in programming languages like Java or JavaScript.
**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.
**Application closing date: 31 July 2025**
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:** R260848
This advertiser has chosen not to accept applicants from your region.
1
Data Science Specialist
Bengaluru, Karnataka
GE Aerospace
Posted 6 days ago
Job Viewed
Job Description
**Job Description Summary**
The Data Science Specialist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
**Job Description**
**Company Overview**
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
**Site Overview**
Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.
**Role Overview:**
As a Data Science Specialist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
+ Develop analytics within well-defined projects to address customer needs and opportunities.
+ Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
+ Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
+ Perform exploratory and targeted data analyses using descriptive statistics and other methods.
+ Work with data engineers on data quality assessment, data cleansing and data analytics
+ Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
+ Share and discuss findings with team members.
**The Ideal Candidate**
+ Ideal candidate should have experience in NLP, LLM, Image Analytics, Python and cloud platforms
**Required Qualifications:**
+ Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.
+ Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems.
+ Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy.
+ Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure).
+ Excellent problem-solving skills and the ability to work independently and as part of a team.
+ Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
+ Experience with transfer learning, fine-tuning, and prompt engineering for LLMs.
+ Knowledge of agentic AI principles and their application in real-world scenarios.
+ Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL.
+ Publications or contributions to the NLP and AI research community.
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
**Additional Information**
**Relocation Assistance Provided:** No
GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
The Data Science Specialist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
**Job Description**
**Company Overview**
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
**Site Overview**
Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.
**Role Overview:**
As a Data Science Specialist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
+ Develop analytics within well-defined projects to address customer needs and opportunities.
+ Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
+ Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
+ Perform exploratory and targeted data analyses using descriptive statistics and other methods.
+ Work with data engineers on data quality assessment, data cleansing and data analytics
+ Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
+ Share and discuss findings with team members.
**The Ideal Candidate**
+ Ideal candidate should have experience in NLP, LLM, Image Analytics, Python and cloud platforms
**Required Qualifications:**
+ Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.
+ Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems.
+ Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy.
+ Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure).
+ Excellent problem-solving skills and the ability to work independently and as part of a team.
+ Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
+ Experience with transfer learning, fine-tuning, and prompt engineering for LLMs.
+ Knowledge of agentic AI principles and their application in real-world scenarios.
+ Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL.
+ Publications or contributions to the NLP and AI research community.
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
**Additional Information**
**Relocation Assistance Provided:** No
GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
This advertiser has chosen not to accept applicants from your region.
2
Analyst - Data Science
Bangalore, Karnataka
Diageo
Posted 8 days ago
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 :**
2025-01-03
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 :**
2025-01-03
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.
3
Director, Data Science
Bangalore, Karnataka
Conduent
Posted 8 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: Director, Data Science (CX & BPaaS)**
**Position Overview**
The Director, Data Science will be a pivotal leader, responsible for spearheading the data analytics strategy across both Customer Experience (CX) and Business Process as a Service (BPaaS) offerings. This role involves transforming complex customer and operational data into actionable business intelligence and strategic insights. The Director will drive data-informed decision-making across the organization, optimize customer journeys, measure the impact of CX initiatives on business outcomes, and demonstrate the measurable business value and ROI of BPaaS solutions to clients. This leader will be instrumental in fostering continuous service improvement and enhancing overall client satisfaction and business performance.
**Key Responsibilities**
+ **Strategic Leadership & Analytics Strategy:** Develop and execute a comprehensive data analytics strategy for both CX and BPaaS domains, ensuring alignment with broader business objectives and promoting data-driven decision-making at all levels.
+ **Advanced Analytics & Modeling:** Lead the design and implementation of sophisticated analytics models to extract meaningful insights from diverse data sources, including customer feedback, interaction data, operational metrics, and service delivery performance. This includes developing predictive models to forecast customer behavior, identify at-risk customers, forecast service volumes, resource needs, and potential process bottlenecks.
+ **Performance Measurement & Optimization:** Design and implement robust analytics frameworks to measure, track, and optimize the performance of CX initiatives and BPaaS solutions across multiple client engagements. This involves creating methodologies to quantify business impact, ROI, cost savings, and efficiency gains.
+ **Operational & Process Excellence:** Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across all service delivery operations for both CX and BPaaS.
+ **Reporting & Dashboard Architecture:** Design and develop comprehensive, sophisticated dashboards and reporting systems that effectively communicate CX performance, BPaaS performance, trends, ROI, SLA compliance, and key performance indicators (KPIs) to executive leadership, internal stakeholders, and clients.
+ **Benchmarking & Industry Insights:** Establish robust benchmarking frameworks to compare performance across clients, industries, and against market standards, leveraging industry insights to drive continuous improvement.
+ **Client Engagement & Analytics Services:** Collaborate with Product and Sales teams to develop and offer value-added analytics services and insights that enhance core BPaaS solutions and create additional revenue streams, while also translating complex operational data into compelling, client-facing value demonstrations.
+ **Cross-Functional Collaboration:** Partner effectively with Technology, Operations, Workforce Management, Account Management, and Product Development teams to identify analytics needs, embed analytics requirements into platforms and data architecture, and deliver insights that drive business growth and customer satisfaction.
+ **Team Leadership & Development:** Build, mentor, and grow a high-performing, cross-functional team of data analysts, data scientists, and reporting specialists focused on CX and BPaaS performance analytics, fostering a culture of analytical excellence and continuous learning.
+ **Data Governance & Quality:** Establish and enforce standards for data quality, accessibility, and compliance across all analytics functions, ensuring consistent and reliable reporting.
+ **Technology Innovation:** Evaluate, recommend, and implement advanced analytics tools and platforms to enhance analytical capabilities, reporting efficiency, and automation potential.
+ **Change Management:** Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights, ensuring effective adoption and sustained improvements.
**Qualifications**
+ **Experience:** 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles, preferably within service delivery or customer-centric environments.
+ **Education:** Bachelor's degree required; Master's degree in Business Analytics, Data Science, Statistics, Operations Management, or a related quantitative field preferred.
+ **Technical Skills:**
+ Strong proficiency in data analysis tools and languages (SQL, Python, R).
+ Extensive experience with BI visualization platforms (Power BI, Tableau).
+ Knowledge of process mining and automation analytics tools (e.g., Celonis, Automation Anywhere, UiPath Insights).
+ Understanding of ERP systems data structures and business process flows.
+ Proficiency in statistical analysis, predictive modeling, and machine learning concepts.
+ **Domain Knowledge:**
+ Direct experience with BPaaS, BPO, or managed services business models.
+ Deep understanding of CX metrics and methodologies (NPS, CSAT, CES, Journey Mapping).
+ Strong understanding of service delivery metrics, SLAs, and operational KPIs.
+ Familiarity with process improvement methodologies (Lean, Six Sigma).
+ **Leadership:** Proven ability to build, lead, mentor, and grow high-performing analytics teams.
+ **Communication:** Exceptional ability to translate complex data insights into clear, actionable recommendations for diverse audiences, including executive leadership and clients.
+ **Strategic Thinking & Client Orientation:** Forward-looking mindset with the ability to connect analytics initiatives to broader business strategy and service delivery excellence, and demonstrated experience translating complex data into client-facing value.
**Ideal Candidate Attributes**
+ A passionate advocate for both customer-centricity and data-driven decision-making.
+ A visionary leader who can inspire teams, influence cross-functional stakeholders, and build strong bridges between technical and business teams.
+ A problem-solver who thrives in complex, ambiguous environments, with a strong process excellence mindset that identifies efficiency opportunities through data.
+ A business-focused approach to analytics emphasizing outcome measurement and value creation.
+ A client-centric perspective on how analytics can enhance service delivery and demonstrate value.
+ An innovative thinker who can envision new ways to leverage data for both CX differentiation and BPaaS growth.
+ A collaborative leader who fosters a culture of analytical excellence and continuous learning.
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.
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 ( .
_At Conduent we value the health and safety of our associates, their families and our community. For US applicants while we DO NOT require vaccination for most of our jobs, we DO require that you provide us with your vaccination status, where legally permissible. Providing this information is a requirement of your employment at Conduent._
**Job Description: Director, Data Science (CX & BPaaS)**
**Position Overview**
The Director, Data Science will be a pivotal leader, responsible for spearheading the data analytics strategy across both Customer Experience (CX) and Business Process as a Service (BPaaS) offerings. This role involves transforming complex customer and operational data into actionable business intelligence and strategic insights. The Director will drive data-informed decision-making across the organization, optimize customer journeys, measure the impact of CX initiatives on business outcomes, and demonstrate the measurable business value and ROI of BPaaS solutions to clients. This leader will be instrumental in fostering continuous service improvement and enhancing overall client satisfaction and business performance.
**Key Responsibilities**
+ **Strategic Leadership & Analytics Strategy:** Develop and execute a comprehensive data analytics strategy for both CX and BPaaS domains, ensuring alignment with broader business objectives and promoting data-driven decision-making at all levels.
+ **Advanced Analytics & Modeling:** Lead the design and implementation of sophisticated analytics models to extract meaningful insights from diverse data sources, including customer feedback, interaction data, operational metrics, and service delivery performance. This includes developing predictive models to forecast customer behavior, identify at-risk customers, forecast service volumes, resource needs, and potential process bottlenecks.
+ **Performance Measurement & Optimization:** Design and implement robust analytics frameworks to measure, track, and optimize the performance of CX initiatives and BPaaS solutions across multiple client engagements. This involves creating methodologies to quantify business impact, ROI, cost savings, and efficiency gains.
+ **Operational & Process Excellence:** Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across all service delivery operations for both CX and BPaaS.
+ **Reporting & Dashboard Architecture:** Design and develop comprehensive, sophisticated dashboards and reporting systems that effectively communicate CX performance, BPaaS performance, trends, ROI, SLA compliance, and key performance indicators (KPIs) to executive leadership, internal stakeholders, and clients.
+ **Benchmarking & Industry Insights:** Establish robust benchmarking frameworks to compare performance across clients, industries, and against market standards, leveraging industry insights to drive continuous improvement.
+ **Client Engagement & Analytics Services:** Collaborate with Product and Sales teams to develop and offer value-added analytics services and insights that enhance core BPaaS solutions and create additional revenue streams, while also translating complex operational data into compelling, client-facing value demonstrations.
+ **Cross-Functional Collaboration:** Partner effectively with Technology, Operations, Workforce Management, Account Management, and Product Development teams to identify analytics needs, embed analytics requirements into platforms and data architecture, and deliver insights that drive business growth and customer satisfaction.
+ **Team Leadership & Development:** Build, mentor, and grow a high-performing, cross-functional team of data analysts, data scientists, and reporting specialists focused on CX and BPaaS performance analytics, fostering a culture of analytical excellence and continuous learning.
+ **Data Governance & Quality:** Establish and enforce standards for data quality, accessibility, and compliance across all analytics functions, ensuring consistent and reliable reporting.
+ **Technology Innovation:** Evaluate, recommend, and implement advanced analytics tools and platforms to enhance analytical capabilities, reporting efficiency, and automation potential.
+ **Change Management:** Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights, ensuring effective adoption and sustained improvements.
**Qualifications**
+ **Experience:** 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles, preferably within service delivery or customer-centric environments.
+ **Education:** Bachelor's degree required; Master's degree in Business Analytics, Data Science, Statistics, Operations Management, or a related quantitative field preferred.
+ **Technical Skills:**
+ Strong proficiency in data analysis tools and languages (SQL, Python, R).
+ Extensive experience with BI visualization platforms (Power BI, Tableau).
+ Knowledge of process mining and automation analytics tools (e.g., Celonis, Automation Anywhere, UiPath Insights).
+ Understanding of ERP systems data structures and business process flows.
+ Proficiency in statistical analysis, predictive modeling, and machine learning concepts.
+ **Domain Knowledge:**
+ Direct experience with BPaaS, BPO, or managed services business models.
+ Deep understanding of CX metrics and methodologies (NPS, CSAT, CES, Journey Mapping).
+ Strong understanding of service delivery metrics, SLAs, and operational KPIs.
+ Familiarity with process improvement methodologies (Lean, Six Sigma).
+ **Leadership:** Proven ability to build, lead, mentor, and grow high-performing analytics teams.
+ **Communication:** Exceptional ability to translate complex data insights into clear, actionable recommendations for diverse audiences, including executive leadership and clients.
+ **Strategic Thinking & Client Orientation:** Forward-looking mindset with the ability to connect analytics initiatives to broader business strategy and service delivery excellence, and demonstrated experience translating complex data into client-facing value.
**Ideal Candidate Attributes**
+ A passionate advocate for both customer-centricity and data-driven decision-making.
+ A visionary leader who can inspire teams, influence cross-functional stakeholders, and build strong bridges between technical and business teams.
+ A problem-solver who thrives in complex, ambiguous environments, with a strong process excellence mindset that identifies efficiency opportunities through data.
+ A business-focused approach to analytics emphasizing outcome measurement and value creation.
+ A client-centric perspective on how analytics can enhance service delivery and demonstrate value.
+ An innovative thinker who can envision new ways to leverage data for both CX differentiation and BPaaS growth.
+ A collaborative leader who fosters a culture of analytical excellence and continuous learning.
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.
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 ( .
_At Conduent we value the health and safety of our associates, their families and our community. For US applicants while we DO NOT require vaccination for most of our jobs, we DO require that you provide us with your vaccination status, where legally permissible. Providing this information is a requirement of your employment at Conduent._
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4
Data Science Intern
Bengaluru, Karnataka
Apna Cricket Team.Com
Posted 5 days ago
Job Viewed
Job Description
Company Description
Apna Cricket Team.com is a premier platform for creating winning fantasy picks, utilizing cutting-edge data and analytics. We provide insights into past performances, team dynamics, and contextual information to deliver accurate and reliable recommendations. Our website is dedicated to helping cricket enthusiasts and fantasy gamers create their dream teams and outshine the competition. Join us to elevate your fantasy cricket gaming experience.
Role Description
This is a full-time remote role for a Data Science Intern. The intern will be responsible for assisting in data collection, analysis, and interpretation to support our fantasy cricket recommendations. Day-to-day tasks include data cleansing, statistical analysis, creating data visualizations, and generating insights to improve our analytics capabilities. The intern will work closely with the data science team to support new and ongoing projects.
Qualifications
- Strong Analytical Skills and proficiency in Statistics. Great with numbers.
- Efficient with most modern LLMs applications for analytics
- Experience in Data Science and Data Analytics
- Proficiency in Data Analysis techniques and tools (Python, SQL majorly)
- Excellent problem-solving skills and attention to detail
- Familiarity with data visualization tools and techniques
- Effective communication skills and ability to work in a team
- Passion for cricket and understanding of fantasy cricket platforms would be beneficial
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5
Data Science Engineer
Bengaluru, Karnataka
Winpra
Posted 5 days ago
Job Viewed
Job Description
Winpra is revolutionizing the real estate industry through advanced AI-powered analytics. We're building cutting-edge solutions that combine sophisticated data science and machine learning with real estate expertise to deliver unprecedented insights and automation capabilities through our innovative platform.
Position Overview
We're seeking a Data Science Engineer to join our innovative team and help shape the future of real estate analytics. In this role, you'll develop and implement advanced statistical models, machine learning algorithms, and data pipelines that power our platform's predictive analytics and market insights.
Key Responsibilities
- Design and implement machine learning models for real estate market analysis and prediction
- Develop and maintain scalable data processing pipelines
- Create sophisticated statistical models for property valuation and market trends
- Design and implement reinforcement learning solutions for dynamic pricing and decision optimization
- Build and optimize data collection and validation processes
- Implement feature engineering techniques to improve model performance
- Develop automated reporting systems and interactive dashboards
- Collaborate with full-stack and AI engineers to integrate models into production
- Conduct A/B tests and experiments to validate model improvements
- Document methodologies, algorithms, and technical specifications
- Monitor and optimize model performance in production
Required Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
- Minimum of 3 years of experience in data science / data analytics related domain.
- Strong programming skills in Python and experience with data science libraries (NumPy, Pandas, Scikit-learn, Pytorch/Tensorflow)
- Proven experience in developing and deploying machine learning models
- Demonstrated experience in reinforcement learning and its practical applications
- Expertise in statistical analysis and mathematical modeling
- Experience with SQL and database management
- Proficiency in data visualization tools (Matplotlib, Seaborn, D3 or similar)
- Strong understanding of machine learning algorithms and their applications
- Experience with version control systems (Git)
- Excellent problem-solving and analytical skills
- Strong communication skills to present technical findings to non-technical stakeholders
Preferred Qualifications
- Experience in real estate analytics or related domain
- Knowledge of deep learning frameworks (TensorFlow, PyTorch)
- Familiarity with cloud computing platforms (AWS/GCP/Azure)
- Knowledge of MLOps practices and tools
- Experience with time series analysis and forecasting
- Background in geospatial data analysis
- Contributions to open-source data science projects
What We Offer
- Opportunity to work on cutting-edge AI technology in the real estate sector
- Collaborative environment with a team of experienced engineers
- Professional development and growth opportunities
- Competitive salary and benefits package
- Remote-friendly work environment
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6
Data Science Specialist
Bengaluru, Karnataka
krtrimaIQ Cognitive Solutions
Posted 5 days ago
Job Viewed
Job Description
About the Role
KrtrimaIQ Cognitive Solutions is looking for a highly motivated and skilled Data Scientist with 4+ years of experience in analytics, statistical modeling, and programming . The ideal candidate will apply advanced algorithms to extract insights and build scalable analytical solutions across business verticals such as Search & Navigation, SEO & Promotions, Personalization, Supply Chain, and Customer Engagement .
Key Responsibilities
- Extract, transform, and analyze large-scale data to drive insightful recommendations for digital products and services
- Develop and implement automated insights frameworks to enable data-driven decision-making
- Build and deliver predictive and prescriptive models for personalization, promotions, and operational efficiency
- Design and maintain dashboard reports measuring financial metrics, user engagement, and customer satisfaction
- Apply advanced statistical techniques and machine learning algorithms to solve real-world business problems
- Collaborate with cross-functional teams on automation, optimization, and analytical initiatives
- Convert business requirements into analytical strategies and data models
- Stay up to date with industry trends, emerging technologies , and modern ML frameworks
- Provide scalable, actionable, and production-ready solutions that align with business goals
- Ensure adherence to enterprise-level project management and delivery practices
Core Competencies & Technical Skills
- 4+ years of experience Data Analysis & Interpretation
- Big Data Analytics & Management
- GCP Cloud Computing
- Programming Languages: Python
- Statistical Modeling & Machine Learning
- SQL and experience with data warehouses or data lakes
- Experience in developing ETL pipelines , data visualizations, and dashboards
Educational Qualifications
Minimum Requirements (any one of the following):
- Bachelor’s in a quantitative field (Mathematics, Statistics, Computer Science, Data Science, Physics, Economics, Engineering)
- Master’s in a quantitative field
- Ph.D. in a related field
Why Join KrtrimaIQ?
- Work on cutting projects
- Collaborate with global enterprise clients
- Flexible hybrid/remote work culture
- Opportunity to grow into leadership and strategy roles
- Be part of an innovative team building real-world intelligent systems
Apply Now: Send your resume to
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7
Data Science Manager
Bengaluru, Karnataka
Worko
Posted 5 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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8
Data Science Manager
Bengaluru, Karnataka
Careernet
Posted 5 days ago
Job Viewed
Job Description
What you will need
● B.Tech in Computer Science, Machine Learning, or a related fi eld with at least 6+ years of experience in AI/ML research.
● Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. ● Expertise in PyTorch or TensorFlow, and profi ciency in Python as well as big data technologies.
● History of mentoring junior data scientists, and comfortable in driving multiple problem statements.
● Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
Preferred Qualifications
● M.Tech or Ph.d in Computer Science with a specialization in Machine Learning.
● 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains.
● Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.
● Track record of successful research-to-product transitions.
● Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).
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