What Lead Data Scientist Jobs are in Mumbai?

Our client, a cutting-edge FinTech company, is seeking an experienced Lead Data Scientist to spearhead their financial modeling initiatives. This is a fully remote position, allowing you to contribute your expertise from anywhere in India, while being a key part of our team that collaborates closely with our Thane, Maharashtra based product development hub. You will be responsible for designing, developing, and deploying advanced machine learning models to drive key business decisions, optimize financial products, and enhance risk management capabilities. This role requires a deep understanding of statistical modeling, data mining, and the ability to translate complex data insights into actionable business strategies. Join us to shape the future of finance through data innovation.

• Lead the development and implementation of sophisticated machine learning models for financial forecasting, fraud detection, customer segmentation, and risk assessment.
• Design and execute data mining strategies to extract valuable insights from large, complex datasets.
• Build and maintain robust data pipelines for model training, validation, and deployment.
• Collaborate with product managers, engineers, and business stakeholders to define project requirements and deliver data-driven solutions.
• Mentor junior data scientists, providing technical guidance and fostering a culture of innovation.
• Evaluate and integrate new technologies and methodologies to enhance the data science function.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science, with a focus on building and deploying predictive models in a financial context.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Strong programming skills in Python or R, with experience in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with SQL and working with large databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong leadership qualities and the ability to mentor and guide a team.
• Exceptional communication and presentation skills.

This fully remote role offers a highly competitive salary and an excellent performance-based bonus structure. Our client provides a comprehensive benefits package, including top-tier health insurance, life insurance, and a robust retirement savings plan. We are committed to employee growth, offering ample opportunities for professional development, continuous learning, and access to cutting-edge tools and technologies. Enjoy the unparalleled flexibility and work-life balance that comes with a remote position, supported by a collaborative and innovative virtual team environment. This is an opportunity to make a significant impact from day one.

• Architect and design comprehensive, end-to-end AI and Machine Learning solutions, encompassing data ingestion, model training, deployment, and monitoring.
• Collaborate with business stakeholders, product managers, and engineering teams to understand requirements and define technical roadmaps for AI initiatives.
• Evaluate and select appropriate AI/ML technologies, frameworks, and platforms to meet project needs.
• Develop best practices and standards for AI solution design, development, and deployment.
• Provide technical leadership and guidance to AI/ML engineers and data scientists throughout the project lifecycle.
• Ensure the scalability, reliability, security, and cost-effectiveness of AI solutions.
• Stay abreast of emerging AI trends, tools, and technologies, and assess their potential application.
• Develop proof-of-concepts and prototypes to validate architectural designs and explore new possibilities.
• Communicate complex technical concepts and architectural decisions clearly to both technical and non-technical audiences.
• Contribute to the overall AI strategy and vision of the organization.

• Master's or Ph.D. in Computer Science, Engineering, AI, or a related field.
• Extensive experience (8+ years) in software architecture, with a significant focus on AI/ML solutions.
• Deep understanding of various ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI platforms.
• Proven experience in architecting and delivering large-scale AI/ML projects in production environments.
• Proficiency with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong knowledge of data engineering, data warehousing, and big data technologies.
• Excellent understanding of system design, scalability, and performance optimization.
• Exceptional problem-solving, analytical, and communication skills.
• Demonstrated leadership capabilities and experience mentoring technical teams.
• Experience with MLOps practices and CI/CD pipelines for AI models is highly desirable.

• Lead the design, development, and deployment of generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models).
• Mentor and manage a team of AI engineers and researchers, fostering their technical growth and project success.
• Collaborate with product management and other engineering teams to define AI roadmaps and product strategies.
• Oversee the entire ML lifecycle, from data preparation and model training to evaluation, deployment, and ongoing optimization.
• Stay at the forefront of generative AI research, identifying and evaluating new techniques and technologies.
• Ensure the ethical and responsible development and deployment of AI models.
• Drive best practices in MLOps, model versioning, and continuous integration/continuous deployment (CI/CD) for AI systems.
• Present technical findings and strategic recommendations to senior leadership.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Significant experience (5+ years) in machine learning engineering, with a focus on generative models.
• Demonstrated experience leading technical teams and projects.
• Deep expertise in popular deep learning frameworks (e.g., PyTorch, TensorFlow) and libraries relevant to generative AI.
• Strong understanding of fundamental ML algorithms and statistical modeling.
• Experience with large-scale data processing and distributed computing environments.
• Excellent communication, leadership, and problem-solving skills.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.

• Competitive salary and attractive bonus structure.
• Significant opportunities for leadership and career advancement.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Access to state-of-the-art research and development tools.
• A dynamic and collaborative work environment in **Thane, Maharashtra**.
• Stock options and other long-term incentives.

• Develop and implement advanced preventive maintenance strategies for a diverse range of industrial robotic systems.
• Provide remote expert support for diagnosing and resolving complex mechanical, electrical, and software issues with robotic equipment.
• Lead and mentor on-site field technicians and engineers through challenging repair and upgrade procedures.
• Analyze performance data from robotic systems to identify potential failure points and opportunities for optimization.
• Collaborate with design and engineering teams to integrate new robotic technologies and improve existing systems.
• Create and maintain comprehensive technical documentation, including troubleshooting guides, maintenance manuals, and best practice procedures for remote operation.
• Stay abreast of the latest advancements in robotics, AI, and industrial automation technologies to inform maintenance strategies.
• Ensure all robotic systems comply with safety standards and operational protocols, even when managed remotely.
• Manage spare parts inventory and logistics remotely to ensure timely availability for critical repairs.
• Conduct remote root cause analysis for equipment failures and implement corrective actions to prevent recurrence.

• Master's or Bachelor's degree in Robotics Engineering, Mechatronics, Electrical Engineering, or a related field.
• Extensive experience in the maintenance, repair, and troubleshooting of industrial robots (e.g., KUKA, ABB, Fanuc).
• Deep understanding of robot kinematics, control systems, programming (e.g., RAPID, KRL), and PLCs.
• Proven ability to provide effective remote technical support and guidance.
• Strong analytical and problem-solving skills, with a methodical approach to diagnostics.
• Excellent technical documentation and communication skills, capable of explaining complex topics clearly.
• Experience with simulation software and predictive maintenance techniques is highly advantageous.
• Ability to work autonomously and manage multiple priorities in a remote work environment.
• A proactive mindset and a commitment to continuous improvement in automation technology.

• Competitive salary and potential for performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Opportunities for professional growth, advanced certifications, and attending industry conferences.
• A dynamic and innovative remote work environment.
• Chance to work with cutting-edge robotics and automation technology.
• Remote work flexibility, allowing you to work from anywhere.

Our client, a trailblazer in robotics and automation solutions, is seeking an experienced and visionary Lead Robotics Engineer to spearhead their Autonomous Systems division. This role is based at our advanced R&D center in Thane, Maharashtra , and offers a hybrid work arrangement. You will lead a team of highly skilled engineers in the design, development, testing, and deployment of cutting-edge autonomous robots and intelligent systems. The ideal candidate possesses a deep understanding of robotics principles, motion planning, control systems, perception, and AI, coupled with proven leadership experience. This is a crucial opportunity to drive innovation and shape the future of autonomous technology in a rapidly evolving industry.

• Lead the design and development of complex robotic systems, including hardware, software, and control algorithms.
• Develop and implement advanced algorithms for navigation, path planning, localization, and object recognition.
• Oversee the integration of sensors (LiDAR, cameras, IMUs) and actuators into robotic platforms.
• Manage and mentor a team of robotics engineers, fostering a collaborative and high-performance culture.
• Conduct rigorous testing and validation of robotic systems in simulation and real-world environments.
• Collaborate with cross-functional teams, including software developers, mechanical engineers, and product managers, to define system requirements and ensure successful product launches.
• Stay abreast of the latest advancements in robotics, AI, and machine learning.
• Author technical documentation, specifications, and project reports.

• Master's or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Minimum of 7 years of progressive experience in robotics development, with at least 2 years in a lead or supervisory role.
• Proven expertise in robot operating systems (ROS), C++, Python, and related development tools.
• Strong understanding of control theory, motion planning, perception, and sensor fusion.
• Experience with simulation environments (e.g., Gazebo, V-REP) and hardware-in-the-loop testing.
• Demonstrated ability to lead complex engineering projects from conception to deployment.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to effectively lead a team and collaborate with stakeholders.

Our client offers a highly competitive salary package, with an annual compensation of ₹ , along with performance bonuses and potential equity. Comprehensive health, dental, and vision insurance are provided, alongside a generous 401(k) plan and paid time off. This hybrid role provides flexibility, blending remote work with on-site collaboration at our cutting-edge facility in Thane, Maharashtra . We invest in our employees' growth through ongoing training, conference attendance, and opportunities for advancement. Access to advanced robotics labs and state-of-the-art equipment is standard. A stimulating work environment that encourages innovation and professional development awaits you.

• Lead and mentor a team of data scientists and bioinformaticians focused on genomic data analysis.
• Develop, implement, and validate advanced statistical models and machine learning algorithms for genomic data interpretation.
• Design and build scalable data processing pipelines for large-scale genomic datasets (e.g., WGS, WES, RNA-Seq).
• Collaborate closely with biologists and clinicians to define research objectives and translate findings into actionable insights.
• Visualize complex genomic data and effectively communicate findings to diverse audiences.
• Contribute to research publications and presentations at scientific conferences.
• Stay abreast of the latest advancements in genomics, data science, and machine learning.
• Ensure data quality, reproducibility, and adherence to best practices in data science and bioinformatics.
• Manage project timelines, resources, and deliverables within a remote team structure.
• Drive innovation in genomic data analysis methodologies and tools.

• Ph.D. or Master's degree in Data Science, Bioinformatics, Computer Science, Statistics, Computational Biology, or a related quantitative field.
• Minimum of 8 years of experience in data science, with a significant focus on genomics and bioinformatics.
• Proven experience leading data science teams and managing complex projects.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Bioconductor).
• Strong understanding of various genomic data types and analysis techniques (e.g., variant calling, differential gene expression, GWAS).
• Experience with cloud computing platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark).
• Excellent communication, presentation, and interpersonal skills, with the ability to collaborate effectively in a remote setting.
• Demonstrated ability to publish research findings and present at scientific forums.
• Solid grasp of statistical principles and experimental design.
• Passion for scientific research and translating data into biological insights.

• An exceptional annual salary of ₹.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and flexible work arrangements.
• Home office stipend for setting up an optimal remote workspace.
• Continuous learning opportunities, including access to online courses and virtual conferences.
• A fully remote and collaborative work environment designed for optimal work-life balance.
• Opportunities for significant career advancement and leadership within a growing organization.
• Retirement savings plan with employer contributions.
• Performance-based bonuses and recognition.

• Architect and design robust, scalable, and secure cloud-native solutions across multiple cloud platforms (e.g., AWS, Azure, GCP).
• Provide technical leadership and guidance to engineering teams on cloud best practices, patterns, and technologies.
• Develop and maintain cloud architecture blueprints, roadmaps, and documentation.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Lead the evaluation and selection of cloud services, tools, and vendors.
• Oversee the implementation and deployment of cloud infrastructure, ensuring high availability and disaster recovery.
• Identify opportunities for cost optimization and performance improvements within the cloud environment.
• Troubleshoot complex cloud-related issues and provide timely resolutions.
• Stay abreast of the latest cloud technologies, trends, and security best practices.
• Mentor and coach junior architects and engineers, fostering a culture of continuous learning.

• Master's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Extensive experience (10+ years) in designing, implementing, and managing complex cloud solutions.
• Deep expertise in at least one major public cloud provider (AWS, Azure, GCP), including their core services.
• Proven track record of architecting enterprise-level applications and infrastructure.
• Strong understanding of microservices, containerization (Docker, Kubernetes), and serverless computing.
• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Excellent knowledge of networking, security principles, and data management in cloud environments.
• Strong analytical, problem-solving, and communication skills.
• Demonstrated leadership capabilities and experience mentoring technical teams.
• Relevant cloud certifications (e.g., AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert) are highly desirable.

• Highly competitive salary package and performance bonuses.
• Comprehensive medical, dental, and vision coverage.
• Generous paid vacation and public holidays.
• Access to cutting-edge cloud technologies and challenging projects.
• Opportunities for professional growth, certifications, and attending industry conferences.
• A flexible and supportive remote work environment fostering work-life integration.
• Retirement savings plan contribution.
• Employee assistance program and wellness initiatives.

Our client, a pioneering company in data analytics and machine learning, is actively seeking an accomplished Lead Data Scientist to join their esteemed remote team. This position offers a unique opportunity to drive impactful data science initiatives, lead a team of talented data professionals, and shape the strategic application of advanced analytics and AI across the organization. You will be instrumental in uncovering complex insights from vast datasets, developing sophisticated predictive models, and translating data-driven findings into actionable business strategies. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, data mining techniques, and a proven ability to lead projects from conception to deployment in a remote, collaborative environment. This role is perfect for a visionary leader passionate about leveraging data to solve critical business challenges and drive innovation.

• Lead the end-to-end data science project lifecycle, from problem definition and data exploration to model development, validation, and deployment.
• Develop and implement advanced machine learning models, statistical analyses, and data mining techniques to solve complex business problems.
• Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performing team environment.
• Collaborate closely with stakeholders across various departments (product, engineering, marketing) to identify opportunities for data-driven insights and solutions.
• Design and execute A/B tests and other experiments to validate hypotheses and measure the impact of data science initiatives.
• Develop and maintain robust data pipelines and feature engineering processes.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
• Contribute to the strategic direction of the data science function within the organization.
• Ensure the ethical and responsible use of data and AI models.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field.
• 8+ years of experience in data science or a related analytical role, with proven experience leading projects and teams.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and time series analysis.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and working with large datasets from various sources.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Excellent communication, presentation, and interpersonal skills, with the ability to explain complex concepts effectively.
• Proven ability to translate business problems into data science solutions.
• Experience working in a remote, collaborative team environment is essential.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

• Highly competitive salary and performance-based bonuses.
• Significant stock options or equity grants.
• Comprehensive health, dental, and vision insurance.
• Unlimited Paid Time Off (PTO) policy.
• Generous home office setup budget.
• Professional development opportunities, including conference attendance and training.
• Opportunity to work on cutting-edge AI and ML projects.
• Flexible working hours and a supportive remote culture.

• Lead the design, development, and deployment of sophisticated machine learning models and statistical analyses.
• Extract, clean, and transform large, complex datasets from various sources relevant to the FMCG market.
• Identify key business questions and translate them into data science projects that deliver tangible value.
• Develop predictive models for demand forecasting, customer segmentation, churn prediction, and campaign optimization.
• Design and conduct A/B tests and other experiments to evaluate the impact of data-driven initiatives.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Present complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Ensure the ethical and responsible use of data in all analytical endeavors.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 8+ years of professional experience in data science, with at least 2 years in a lead or senior role.
• Proven experience applying machine learning techniques to real-world business problems, preferably in FMCG.
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in SQL and experience working with large-scale databases (e.g., data warehouses, data lakes).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent understanding of statistical modeling, experimental design, and hypothesis testing.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Demonstrated ability to lead teams and manage projects effectively.
• Experience working in a remote-first or distributed team environment is highly desirable.

• Highly competitive salary and bonus structure.
• Fully remote work arrangement with flexible hours.
• Comprehensive health and wellness benefits package.
• Generous allowance for home office setup and professional development.
• Unlimited paid time off policy.
• Opportunities to work with cutting-edge technologies and solve challenging problems.
• Collaborative and inclusive virtual work culture.
• Annual offsites for team bonding (optional).