131 Data Scientist Jobs - Page 6

Job Role: Fraud Data Scientist Experience: 3 - 8 Years Location: Bangalore/Hyderabad IMMEDIATE JOINERS Domain exposure: Banking (MANDATORY) Roles & Responsibilities: Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required: Bachelor's degree in engineering, technology, computer science or related field. 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Strong experience in SQL or Python Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment. Sincerely, Sonia TS

Opening for Data Science or Data Analyst Trainer Experience: Fresher - 2 years Skills: Should have to completed Data Science or Data Analytics Certification course. Graduate, good communication skills.

Looking for a highly skilled GenAI Scientist with a strong expertise in the field of LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, hands-on approach to research, development, and implementation of cutting-edge AI solutions.

Responsible to manage the team of Data Scientists, Data Engineers, Data Governance Specialists, and Data Analyst Coordinate the execution of analytics and digital intelligence initiatives as scoped and prioritized Required Candidate profile Excellent in Communication Team Leadership and Development Proficiency in tools such as SQL, Python, Power BI/Tableau, Jira, Confluence, and Git

This role is for one of the Weekday's clients Salary range: Rs 5000000 - Rs 7000000 (ie INR 50-70 LPA) Min Experience: 10 years Location: Bengaluru JobType: full-time We are seeking an experienced and strategic product leader to drive the vision, development, and execution of data platforms and AI-powered products. This role requires a deep understanding of data architecture, machine learning integration, and product strategy, coupled with strong leadership and cross-functional collaboration skills. Requirements Key Responsibilities: Define and execute the strategic roadmap for data platforms, aligning product development with business objectives and long-term goals. Set clear OKRs (Objectives and Key Results) for product initiatives and ensure alignment across engineering, data science, analytics, and platform teams. Establish and uphold rigorous standards for project planning, execution, and documentation throughout the product lifecycle. Lead the architecture and implementation of scalable data infrastructure, including real-time analytics platforms, data lakes, and robust data pipelines. Collaborate with data science, AI/ML, and engineering teams to seamlessly integrate predictive models and machine learning solutions into data products. Drive Agile execution to deliver projects on time, within scope and budget, while maintaining high standards of quality and security. Oversee and ensure comprehensive documentation of technical workflows, architectural decisions, and product specifications. Implement and manage robust data governance policies, ensuring compliance with global regulations such as GDPR and CCPA. Define and track key performance indicators (KPIs) to measure the effectiveness and impact of data products, and iterate for continuous improvement. Mentor and guide product managers and technical teams, fostering a culture of innovation, ownership, and operational excellence. Qualifications: Bachelors degree in Engineering (BTech) and/or MBA from a reputed institution (IITs, NITs, IIMs, ISBs, or equivalent). 10+ years of product management experience, with significant exposure to building and scaling data platforms and advanced analytics solutions. Proven success in developing and executing product strategies and OKRs in cross-functional, high-growth environments. Strong technical knowledge of cloud platforms (e.g., AWS, Azure) and data technologies such as Hadoop, Spark, Kafka. Deep expertise in data architectures, including data lakes, data warehouses, SQL/NoSQL databases, and real-time streaming pipelines. Experience integrating AI/ML models into products and leading business intelligence (BI) initiatives using tools like Tableau or Power BI. Demonstrated ability to lead complex programs across multiple teams with strong project management methodologies (Agile/Scrum). Sound understanding of data governance frameworks and regulatory compliance, including GDPR and CCPA. Exceptional leadership, communication, and stakeholder management skills with the ability to drive alignment between business and technical teams. Key Skills: Product Management | Data Platforms | AI/ML Integration | Data Science | Cloud Technologies | Data Governance | BI & Analytics | Agile Project Management | Team Leadership | NLP

Role & responsibilities Data Science Exp Exp in Machine Learning - 3 - 4 projects Excellent in Python Coding Exp in Time series forecasting Mandate Gen AI - 6 month exp mandate Only Bangalore based candidates to reply as this will be F2F Interview. Preferred candidate profile