228 Algorithm Development jobs in Bengaluru

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 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

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to

make accurate and fast business decisions, by building modern data architectures using cloud and

open source. Some of the world’s largest data producers engage with Sigmoid to solve complex

business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial

intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology

companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

This role is for our Bengaluru office.

Why Join Sigmoid?

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly

combining technical expertise and creativity to tackle intrinsically complex business

problems and convert them into straight-forward data solutions.

• Despite being continuously challenged, you are not alone. You will be part of a fast-paced

diverse environment as a member of a high-performing team that works together to

energize and inspire each other by challenging the status quo

• Vibrant inclusive culture of mutual respect and fun through both work and play

Roles and Responsibilities:

• Convert broad vision and concepts into a structured data science roadmap, and guide a

team to successfully execute on it.

• Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a

combination of hands-on contribution, technical team management, and client interaction.

• Proven ability to discover solutions hidden in large datasets and to drive business results

with their data-based insights

• Contribute to internal product development initiatives related to data science.

• Drive excellent project management required to deliver complex projects, including

effort/time estimation.

• Be proactive, with full ownership of the engagement. Build scalable client engagement level

processes for faster turnaround & higher accuracy

• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation

of that strategy within projects

• Manage the team-members, to ensure that the project plan is being adhered to over the

course of the project

• Build a trusted advisor relationship with the IT management at clients and internal accounts

leadership.

Mandated Skills:

• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject

• 14+ years of hands-on experience in applied Machine Learning, AI and analytics

• Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL,

Spark with ML tools & Cloud Technology (AWS, Azure, GCP)

• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT

etc.

• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and

statistical concepts and experience in developing models and solutions in these areas

• Expertise with client engagement, understanding complex problem statements, and offering

solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.

Desired Skills:

● Deep understanding of ML algorithms for common use cases in both structured and

unstructured data ecosystems.

● Comfortable with large scale data processing and distributed computing

● Providing required inputs to sales, and pre-sales activities

● A self-starter who can work well with minimal guidance

● Excellent written and verbal communication skills

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

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

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to

make accurate and fast business decisions, by building modern data architectures using cloud and

open source. Some of the world’s largest data producers engage with Sigmoid to solve complex

business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial

intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology

companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

This role is for our Bengaluru office.

Why Join Sigmoid?

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly

combining technical expertise and creativity to tackle intrinsically complex business

problems and convert them into straight-forward data solutions.

• Despite being continuously challenged, you are not alone. You will be part of a fast-paced

diverse environment as a member of a high-performing team that works together to

energize and inspire each other by challenging the status quo

• Vibrant inclusive culture of mutual respect and fun through both work and play

Roles and Responsibilities:

• Convert broad vision and concepts into a structured data science roadmap, and guide a

team to successfully execute on it.

• Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a

combination of hands-on contribution, technical team management, and client interaction.

• Proven ability to discover solutions hidden in large datasets and to drive business results

with their data-based insights

• Contribute to internal product development initiatives related to data science.

• Drive excellent project management required to deliver complex projects, including

effort/time estimation.

• Be proactive, with full ownership of the engagement. Build scalable client engagement level

processes for faster turnaround & higher accuracy

• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation

of that strategy within projects

• Manage the team-members, to ensure that the project plan is being adhered to over the

course of the project

• Build a trusted advisor relationship with the IT management at clients and internal accounts

leadership.

Mandated Skills:

• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject

• 14+ years of hands-on experience in applied Machine Learning, AI and analytics

• Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL,

Spark with ML tools & Cloud Technology (AWS, Azure, GCP)

• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT

etc.

• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and

statistical concepts and experience in developing models and solutions in these areas

• Expertise with client engagement, understanding complex problem statements, and offering

solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.

Desired Skills:

● Deep understanding of ML algorithms for common use cases in both structured and

unstructured data ecosystems.

● Comfortable with large scale data processing and distributed computing

● Providing required inputs to sales, and pre-sales activities

● A self-starter who can work well with minimal guidance

● Excellent written and verbal communication skills

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