1538 Data Science Lead jobs in Bengaluru

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings.

Mandatory Technical Skills:

•   Strong statistical and machine learning intuition to address new and unique challenges.

•   Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications.

•   Strong proficiency in Python with OOP principles - (4 years of experience)

•   Experience developing APIs using Flask or Fast API frameworks – (2 years of experience)

•   Integration knowledge with front-end applications – (1 year of experience)

•   Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - (3 years of experience)

•   Familiarity with task management tools (e.g., Jira, Azure DevOps) - (2 years of experience)

•   Proficiency in databases, including SQL, NoSQL and vector databases – (2+ years of experience)

•   Working knowledge of ML pipelines and CI/CD.

•   Experience with at least one of the cloud platforms (Azure, AWS, GCP years of experience)

Core Excellence Areas (CEA):

Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying):

1. NLP
2. Generative AI (NLP)
3. Computer Vision
4. Time Series Forecasting
5. Recommendation Systems and Optimization

Roles & Responsibilities:

•   Advanced AI/ML/Gen AI Implementation:

o  Leverage advanced AI and machine learning techniques to address complex business challenges.

o  Design, develop, and deliver innovative data science solutions.

•   Architectural Design:

o  Develop end-to-end generative AI solutions.

o  Build scalable architectures for AI/ML models and applications.

•   Team Leadership:

o  Lead and mentor a team of data scientists, fostering professional growth and technical excellence.

o  Provide strategic and technical guidance to ensure the team delivers high-quality projects.

•   Cross-functional Collaboration:

o  Work closely with data engineering, product, and business teams to align on objectives and integrate solutions.

•   Client Engagement:

• Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships.

•   Innovation:

• Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology.

Nice to have Skills:

•   Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing.

•   Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau)

•   Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).

•   Experience with cloud platforms and MLOps practices.

•   Project management skills to lead initiatives effectively.

•   Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases.

Experience & Educational Qualifications:

•   Minimum of 5+ years of experience solving complex machine learning problems.

•   At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas.

•   Minimum of 1 year leading and managing ML projects end-to-end.

•   Bachelor's degree in computer science, Data Science, or related field (Master's/PG in AI/ML/DS preferred).

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Job Summary

The Data Science team delivers best in class actionable business insights through cutting-edge predictive models and data science techniques. The Lead Data Scientist is responsible for generating data-driven insight using advanced analytics and machine learning techniques to support enterprise data science needs within Bread Financial, and researching state-of-art advanced analytics techniques to continuously improve the Data Science team's competence within the analytics industry. Additionally, this role manages the design and innovation of market differentiators within the Data Science team. The Lead Data Scientist works autonomously with additional responsibility of leading projects and may also mentor and onboard data scientists on the team.

Essential Job Functions:

• Create and Design - Create machine-learning based tools or processes for data mining and data analytics. Extend data with third party sources of information when needed. Translate business problems into statistical problems, develop machine learning models and customized analysis to support business needs.

• Analytics – Contribute to and guide the team to extract and sample data, conduct data integrity checks and applicable data pre-processing such as treatment of missing values and outliers. Conduct exploratory data analysis for preliminary data insights to drive the selection of modeling approach that best addresses the business problem. Reveal hidden data patterns by data mining using unsupervised learning techniques such as clustering analysis and factor analysis. Conduct feature engineering to create/derive model predictors with strong predictive power and train classification/regression models by applying supervised learning techniques such as generalized linear models assuming applicable underlying distributions such as logit and gamma, tree-based models such as decision trees, random forest, boosted trees, etc., and neural net models. Conduct proper model test/validation, diagnose and fix model issues (e.g., over-fitting) when applicable. Size the impact of using the models in production as part of the current strategy. Present results and business case to manager. Provide support for implementation and monitoring of solutions that are implemented.

• Collaboration – Contribute and guide the team to, translate analytical results into useful recommendations for review with manager. Demonstrate strong verbal and written communication skills when working with internal partners and when presenting results to various audiences. Develop foundational knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations while working with the business. Collaborate with other data scientists in the organization to share best practices and data science innovations.

• Model Risk Management - Develop foundational knowledge and also guide the team on common model risks and related regulatory requirements. Apply proper first line of defense controls during model development process to minimize model risk. Create comprehensive model governance documentation and archive model data, scripts, and result. Collaborate with model risk management partners to complete model validation/auditing. Complete remediation as required by model governance process.

• Coaching and Development - Manage and coach the team to ensure delivery excellence, sustainability and scalability. This team assists the organization by providing end to end predictive solutions for marketing and credit teams which helps to understand customer behaviour and target the right customer at the right time. Will have direct reports in associate mentoring/on-boarding, is a proxy for direct manager and will contribute to talent evaluation process.

• Data Science Innovation – Research industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency. Conduct use case testing for new tools/techniques/platforms/data and provide user input/feedback. Conduct research to continuously improve predictive modeling methodology to achieve better outcomes.

• Leadership - Demonstrate leadership by providing thought leadership, mentorship, and training to junior data scientists in the department. Participate in business diagnostic, problem definition, solution proposal, project design, and resource planning. Independently lead analytical projects to completion, collaborate with stakeholders and utilize excellent communication skills to gain consensus on the recommendation.

Reports To:

Manager or higher

Direct Reports:

Up to 2

Working Conditions/ Physical Requirements:

• Normal office environment. Hybrid environment.
• Some travel may be required.

Minimum Qualifications:

• Bachelor's degree in statistics, mathematics, engineering, data science, economics, computer science, or another related quantitative field.
• 8+ years of experience in the software industry.
• 4+ years of experience in building and deployment of machine learning models.

Preferred Qualifications:

• Master's degree in statistics, mathematics, engineering, data science, economics, or computer science.
• Experience conducting data mining to solve business problems.
• Experience in extracting and processing large files/data sets.
• Experience interpreting model results and translating insights into business recommendations.

Knowledge, Skills and Abilities:

• Team Management
• Data Analytics
• Data Mining
• Data Science
• Machine Learning
• Pivot Tables
• PowerPoint Presentations
• Predictive Modeling
• Python
• Spark SQL
• Statistical Concepts
• Cloud Experience (AZURE/AWS)
• Structured Query Language (SQL)

• Good Communication skills

• SAS

• Financial Services
• Natural Language Processing (NLP)
• Time Series Forecasting
• R Programming

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

About Bread Financial

At Bread Financial, you'll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We've been consistently recognized as a best place to work nationally and in many markets and we're proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.

Bread Financial

(NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers.

To learn more about Bread Financial, our global associates and our sustainability commitments, visit

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LinkedIn

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• All job offers are contingent upon successful completion of credit and background checks.
• Bread Financial is an Equal Opportunity Employer.

Job Family:

Information Technology

Job Type:

Regular

We are seeking a Team Lead – Data Science & AI/ML on AWS who will be responsible for daily task execution oversight, delivery quality, SCRUM adherence, and team operations management for DS/AI/ML projects

We're on the hunt for a passionate and skilled Data Scientists to join a world-class team of innovators.

Key Responsibilities

• Understand business objectives and frame them as data science problems, with a focus on forecasting.
• Design, develop, and maintain robust data pipelines and reproducible modeling workflows.
• Explore datasets, extract insights, and present findings to stakeholders.
• Lead and mentor a team of data scientists and senior data scientists .
• Build predictive models and analytic systems, and test their performance in real-world scenarios.
• Analyze experimental results, refine models, and continuously improve outcomes.
• Stay updated with emerging ML/AI techniques and apply them to business problems.

Requirements

• 5–7 years of experience in data analytics model development and deployment.
• Proven expertise in forecasting and predictive analytics .
• Hands-on experience with machine learning algorithms for business applications.
• Strong knowledge of data management and visualization techniques .
• Proficiency in SQL, Python, R, Hadoop .
• Experience managing teams of at least 2–3 members .
• Strong organizational, leadership, and communication skills.
• Ability to integrate analytics seamlessly with business processes.
• Bachelor’s degree (B.Tech/BE) in Computer Science, Data Science, Mathematics , or related field.

Position Summary:

The Data Scientist is tasked with enhancing interactions across user gaming experiences and systems. This involves designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. We seek individuals capable of creating exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Moreover, you'll have the opportunity to immerse yourself in cutting-edge ML technologies, tools, and processes, contributing to the advancement of our technical objectives and architectural initiatives.

As a Data Scientist, you will be responsible for the design and development of machine learning models and algorithms tailored to a variety of applications. Your tasks will involve not only the implementation but also the optimization of these models. Additionally, you'll collaborate closely with cross-functional teams to seamlessly integrate these machine learning models into production systems. It will be crucial to stay abreast of the latest advancements in machine learning and AI technologies to ensure our solutions remain cuttingedge and effective. You'll coordinate with multiple stakeholders across the globe.

Your Role Responsibilities and Duties:

Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.

Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.

Deploy machine learning models into production environments using AWS services and implement scalable and efficient solutions for real-time and batch predictions.

Required Skills and Qualifications:

Bachelors degree in computer science, Engineering, Statistics, or a related field.

7+ years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.

7+ years of Team Leading or Team Management experience is must.

Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.

Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing.

Strong machine learning, statistical and analytical skills.

What we Offer:

Bootstrapped and financially stable with high pre-money evaluation.

Above industry renumerations.

Additional compensation tied to Renewal and Pilot Project Execution.

Additional lucrative business development compensation.

Chance to work closely with industry experts driving strategy with data and analytics.

Firm building opportunities that offer stage for holistic professional development, growth, and branding.

Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning

We're on the hunt for a passionate and skilled Data Scientists to join a world-class team of innovators.

Key Responsibilities

• Understand business objectives and frame them as data science problems, with a focus on forecasting.
• Design, develop, and maintain robust data pipelines and reproducible modeling workflows.
• Explore datasets, extract insights, and present findings to stakeholders.
• Lead and mentor a team of data scientists and senior data scientists .
• Build predictive models and analytic systems, and test their performance in real-world scenarios.
• Analyze experimental results, refine models, and continuously improve outcomes.
• Stay updated with emerging ML/AI techniques and apply them to business problems.

Requirements

• 5–7 years of experience in data analytics model development and deployment.
• Proven expertise in forecasting and predictive analytics .
• Hands-on experience with machine learning algorithms for business applications.
• Strong knowledge of data management and visualization techniques .
• Proficiency in SQL, Python, R, Hadoop .
• Experience managing teams of at least 2–3 members .
• Strong organizational, leadership, and communication skills.
• Ability to integrate analytics seamlessly with business processes.
• Bachelor’s degree (B.Tech/BE) in Computer Science, Data Science, Mathematics , or related field.

We're on the hunt for a passionate and skilled Data Scientists to join a world-class team of innovators.

Key Responsibilities

• Understand business objectives and frame them as data science problems, with a focus on forecasting.
• Design, develop, and maintain robust data pipelines and reproducible modeling workflows.
• Explore datasets, extract insights, and present findings to stakeholders.
• Lead and mentor a team of data scientists and senior data scientists .
• Build predictive models and analytic systems, and test their performance in real-world scenarios.
• Analyze experimental results, refine models, and continuously improve outcomes.
• Stay updated with emerging ML/AI techniques and apply them to business problems.

Requirements

• 5–7 years of experience in data analytics model development and deployment.
• Proven expertise in forecasting and predictive analytics .
• Hands-on experience with machine learning algorithms for business applications.
• Strong knowledge of data management and visualization techniques .
• Proficiency in SQL, Python, R, Hadoop .
• Experience managing teams of at least 2–3 members .
• Strong organizational, leadership, and communication skills.
• Ability to integrate analytics seamlessly with business processes.
• Bachelor’s degree (B.Tech/BE) in Computer Science, Data Science, Mathematics , or related field.