1916 Data Science Lead jobs in Bengaluru

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

About us:

Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Lead Data Scientist to guide and grow our data science team.

Role Summary:

As the Lead/Principal Data Scientist, you will head our existing data science team, driving the development of advanced machine learning models and AI solutions. You will play a pivotal role in shaping our ML/AI strategy, leading projects across NLP, deep learning, predictive analytics, and recommendation systems, while ensuring alignment with business goals. This role combines hands-on technical leadership with strategic decision-making to build impactful solutions for our customers.

Key Responsibilities:

Leadership and Team Management :

• Lead and mentor the existing data science engineers, fostering skill development and collaboration.
• Provide technical guidance, code reviews, and ensure best practices in model development and deployment.

Model Development and Innovation :

• Design and build machine learning models for tasks like NLP, recommendation systems, customer segmentation, and predictive analytics.
• Research and implement state-of-the-art ML/AI techniques to solve real-world problems.
• Ensure models are scalable, reliable, and optimized for performance in production environments. We operate in AWS and GCP, so it’s mandatory that you have previous experience in setting up the MLOps workflow in either of the cloud service provider.

Business Alignment :

• Collaborate with cross-functional teams (engineering, product, marketing, etc.) to identify opportunities where AI/ML can drive value.
• Translate business problems into data science solutions and communicate findings to stakeholders effectively.
• Drive data-driven decision-making to improve user engagement, conversions, and campaign outcomes.

Technology and Tools :

• Work with large-scale datasets, ensuring data quality and scalability of solutions.
• Leverage cloud platforms like AWS, GCP for model training and deployment.
• Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
• With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.

Qualifications:

Education :

• Master’s or PhD in Computer Science, Data Science, Mathematics, or a related field.

Experience :

• With an industry experience of more than 9 years with 5+ years of experience in data science, and at least 2 years in a leadership role managing a strong technical team.
• Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
• Hands-on experience deploying ML models in production at scale.
• Experience in Martech or working on customer-facing AI solutions is a plus.

Technical Skills :

• Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
• Strong understanding of statistical methods, predictive modeling, and algorithm design.
• Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).

Soft Skills :

• Excellent communication skills to present complex ideas to both technical and non-technical stakeholders.
• Strong problem-solving mindset and the ability to think strategically.
• A passion for innovation and staying up-to-date with the latest trends in AI/ML.

Why Join Us:

• Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
• Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
• Competitive salary, benefits, and a culture that values learning and growth.

Location

Bengaluru

About Us

We are a growing Direct-to-Consumer (D2C) company leveraging data-driven strategies to create

exceptional customer experiences and drive business growth. Our analytics and machine learning

capabilities are fundamental to understanding customer behavior, optimizing operations, and delivering personalized experiences. We're seeking a skilled Lead/Senior Data Scientist to lead our machine learning initiatives and translate business challenges into actionable insights.

Role Overview

As a Senior Data Scientist, you will develop and implement machine learning models that directly impact key business metrics and customer experience. You'll work on high-impact projects including lead scoring, churn prediction, and customer segmentation while collaborating closely with data engineering and analytics teams. This role requires strong expertise in classical machine learning techniques, with an emphasis on building production-ready models that deliver measurable business value.

Key Responsibilities

● Design, develop, and maintain machine learning models focused on lead scoring, churn prediction, customer segmentation, and other business-critical applications

● Build end-to-end ML pipelines, from data extraction and feature engineering to model deployment and monitoring

● Work with data engineering teams to ensure proper data infrastructure for ML workflows

● Collaborate with analytics teams to translate business problems into data science solutions

● Implement A/B testing methodologies to validate model effectiveness

● Monitor model performance in production and implement strategies for model maintenance

and improvement

● Apply statistical analysis to extract meaningful patterns from large datasets

● Develop robust evaluation frameworks to measure model performance and business impact

● Create clear documentation for models, methodologies, and results

● Present findings and recommendations to technical and non-technical stakeholders

● Mentor junior data scientists and contribute to data science best practices

● Stay current with developments in machine learning and data science methodologies

Qualifications

Required

● Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

● 5+ years of experience in data science or machine learning roles

● Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.)

● Expert knowledge of classical machine learning algorithms and techniques

● Experience building models for business applications such as lead scoring, churn prediction, and

customer segmentation

● Hands-on experience with the full ML lifecycle, from data preparation to model deployment

● Experience with SQL and working with large datasets

● Understanding of statistical concepts and their practical applications

● Experience deploying models to production and implementing monitoring solutions

● Strong problem-solving skills and business acumen

● Excellent communication skills with the ability to explain complex concepts to diverse audiences

Preferred

● Experience in D2C, e-commerce, or retail industries

● Familiarity with GenAI and Deep Learning technologies

● Knowledge of MLOps practices and tools

● Experience with cloud platforms (AWS, GCP, Azure)

● Familiarity with data visualization tools (Tableau, PowerBI, etc.)

● Experience with distributed computing frameworks (Spark)

● Understanding of experiment design and causal inference

Technical Skills

● Programming Languages: Python (essential), R (beneficial)

● ML Libraries & Frameworks: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, SciPy

● MLOps Tools: MLflow, Kubeflow, or similar (beneficial)

● Databases & Query Languages: SQL, experience with data warehouses

● Cloud Platforms: Familiarity with AWS or GCP services

● Version Control: Git

● Data Visualization: Matplotlib, Seaborn, Plotly

● Collaboration Tools: Jupyter, modern data science workflows

What We Offer

● Competitive salary and comprehensive benefits package

● Opportunity to work on impactful, business-critical projects

● Modern office in Mumbai with excellent facilities

● Collaborative, data-driven culture

The role is with one of Worko’s partner companies, a leading E-commerce Unicorn.

Role Overview

As a Data Scientist III, you will be part of the Data Science team working on challenging problems like fraud detection, inventory optimisation, and platform vernacularization. You will navigate uncharted territories, discovering new paths to creating solutions for users in an untapped market. Your primary responsibility will be enhancing the productivity and utilisation of generated data while working closely with business stakeholders.

Key Responsibilities

• Develop models and run experiments to infer insights from hard data
• Improve product usability and identify new growth opportunities
• Understand reseller preferences to provide them with the most relevant products
• Design discount programs to help resellers sell more
• Help resellers better recognise end-customer preferences to improve their revenue
• Use data to identify bottlenecks that will help suppliers meet their SLA requirements
• Model seasonal demand to predict key organisational metrics
• Mentor junior data scientists in the team
• Transform scattered pieces of information into valuable data
• Share and present valuable insights with peers

Requirements

• Bachelor's/Master's degree in computer science or similar degree
• 4-7 years of experience as a Data Scientist in a fast-paced organisation, preferably B2C
• Familiarity with Neural Networks, Machine Learning
• Familiarity with tools like SQL, R, Python
• Strong understanding of Statistics and Linear Algebra
• Strong understanding of hypothesis/model testing and ability to identify common model testing errors
• Experience designing and running A/B tests and drawing insights from them
• Proficiency in machine learning algorithms
• Excellent analytical skills to fetch data from reliable sources to generate accurate insights

Mandatory Requirements

• Bachelor's/Master's degree in computer science or similar degrees
• 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
• Familiarity with Neural Networks, Machine Learning
• Familiarity with tools like SQL, R, Python
• Strong understanding of Statistics and Linear Algebra
• Strong understanding of hypothesis/model testing and ability to identify common model testing errors
• Experience designing and running A/B tests and drawing insights from them
• Proficiency in machine learning algorithms
• Excellent analytical skills to fetch data from reliable sources to generate accurate insights

Preferred Requirements

• Experience in tech and product teams is a plus
• Experience in working on personalization or other ML problems
• Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Cashfree Payments is India’s leading payments and API banking company. It provides full-stack payment solutions for businesses in India to accept payments and make payouts via 180+ payment modes - all with a simple integration. Over 6,00,000+ Businesses trust Cashfree Payments with payment collections, vendor payouts, salary payouts, bulk refunds, expense reimbursements, loyalty and rewards, and so much more.

We enable businesses of all we are building the payments infrastructure of tomorrow, today.

We entered the payments industry in 2015 to facilitate Cash-on-Delivery payments for e-commerce businesses. We are also contributing to the pace of digitization of India by working closely with traditional banks to increase ease and convenience for last-mile customers.

About the role:

As the Data Scientist-2, you will :

- Work with stakeholders to define and own data science road map for one or more business areas and build the data science projects at Cashfree from scratch.

- Deliver scalable machine learning solutions to production

- Provide technical and scientific leadership to the team

- Roll up your sleeves and do hands-on work when needed

- Build strong working relationships and collaboration with leaders in product, business, and engineering teams

- Establish and improve the best data science and engineering practices for the team

- Maintain a healthy balance between delivery and applied research

Profile :

- In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

- 3+ years of experience in applying machine learning and statistical methods to solve complex problems at scale.

- Experience with big data technologies

What we offer:

• Everyone is empowered to make decisions.
• Transparency in communication keep us aware of where we are heading, and honest feedback helps everyone to grow quickly and in all directions.
• You also have flexible timings and a great office space to work in.
• Meal coupons and Uber Credits.

Job Title: Senior Data Scientist – GBS Commercial

Location: Bangalore

Reporting to: Senior Manager – GBS Commercial

PURPOSE OF ROLE

We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams

KEY TASKS AND ACCOUNTABILITIES

Data Science & Product Leadership:

• Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs.
• Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement.
• Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products.

People Management & Team Development:

• Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture.
• Oversee performance management, career development, and upskilling initiatives within the team.
• Set clear objectives, provide constructive feedback, and guide team members towards excellence.

Collaboration & Stakeholder Management:

• Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions.
• Engage with end users to gather feedback, iterate on features, and improve application usability.
• Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications.
• Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions.
• Present insights and recommendations to senior leadership, enabling data-driven decision making

Process Improvement & Innovation:

• Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability.
• Propose new features and enhancements to improve user experience and streamline business processes.

Documentation & Reporting:

• Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides.
• Develop and share reports, dashboards, and presentations that communicate business impact and technical findings

Support & Troubleshooting:

• Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control.
• Ensure system stability, security, and compliance with relevant data governance standards.

Preferred Skills & Technologies:

• Programming: Python (Pandas, scikit-learn, PySpark), SQL
• Machine Learning: End-to-end ML model development & deployment
• Data Engineering: ETL pipelines, data modeling, Spark/Airflow (preferred)
• API/Product Development: Flask/FastAPI, integration with business applications
• Cloud & DevOps: AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins)
• Databases: PostgreSQL, MySQL, NoSQL (desirable)
• Version Control: Git, collaborative workflows
• Visualization: Power BI, Tableau, or similar (preferred)
• Storytelling with Data: Ability to convey insights through impactful data visualizations and clear narratives
• Good to have: Experience with LLMs, GenAI, or agent frameworks

BUSINESS ENVIRONMENT

• Cross-Functional Collaboration:
• Work with internal stakeholders across all business zones, including sales, marketing, IT, and operations, to understand requirements and ensure solutions are aligned with business goals.
• Stakeholder Management:
• Develop strong relationships with stakeholders and become a trusted advisor on all matters related to Power Apps and Power Pages.
• Must have excellent communication skills to handle multiple priorities and stakeholders effectively.
• Proactiveness & Adaptability:
• Strong sense of initiative and the ability to work independently while being proactive in identifying and addressing potential issues or improvements.
• Demonstrates adaptability to changes in business needs and technological advancements.

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

Job Description: Data Science Lead, Clinical Intelligence

Company Overview

Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.

Job Title

Data Science Lead, Clinical Intelligence

Location

Pune, India (hybrid office/remote) or fully remote within India.

Job Summary

We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.

Key Responsibilities

• Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
• Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
• Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
• Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
• Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
• Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
• Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.

Qualifications and Requirements

• Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
• 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
• Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
• Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
• Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
• Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
• Based in India; open to remote or hybrid work in Pune.
• Strong leadership and communication skills for global client collaboration.

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
• Knowledge of SaaS platforms and API integrations for client data.
• Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
• Expertise in mitigating data biases for fair AI predictions.

What We Offer

• Highly Competitive salary based on experience with performance bonuses.
• Flexible remote/hybrid work, health benefits, and learning opportunities.
• Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
• Collaborative, global team environment.