4327 Data Science Jobs - Page 12

We are looking for an Optimization Specialist who will be responsible for developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. As an Optimization Specialist, you will have a crucial role in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions to optimize complex business processes. The ideal candidate for this position will excel in formulating and solving various optimization problems such as LP, MILP, combinatorial optimization, and scheduling. You should be adept at applying innovative algorithms to achieve optimal solutions. In this role, you will be working with a technical environment that includes language Python, frameworks like COIN-OR, PyTorch, NumPy, SciPy, Pyomo, and Django, application architecture that is scalable, resilient, reactive, event-driven, and secure microservices architecture, and cloud services provided by AWS. Your responsibilities will include designing, developing, and implementing advanced mathematical optimization models and solvers to address complex business challenges across various domains. You will identify and model optimization problems in different manufacturing businesses, design and implement robust optimization algorithms, evaluate and select appropriate solvers, and develop machine learning models to support data-driven decision-making. To qualify for this position, you should have 1-3 years of experience in Operations Research and Python programming, a Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, experience in building optimization models from scratch, knowledge of constraint programming, and proficiency in statistical analysis tools such as Python. Strong problem-solving abilities, creativity, and effective communication skills are essential. Join our team at Techtinium, where we have a passion for innovative products and a commitment to delivering superior software solutions. We value our team members and provide a positive, collaborative environment where your skills will be honed across the software development lifecycle. If you are ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We are eager to welcome you to our team!,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

The ideal candidate for this role should possess a strong academic background and a genuine passion for teaching. You should have excellent written and oral communication skills, with the ability to convey complex concepts clearly. Your responsibilities will include handling both theory and lab courses in areas such as computer science & engineering, artificial intelligence, data science, and business systems. You must ensure that undergraduate and postgraduate students achieve a thorough understanding of the subjects. In addition to teaching, you will be expected to conduct research within your area of specialization and guide students in their research projects. Publishing high-quality research in reputable journals is also a key aspect of the role. As part of the faculty team, you will have the opportunity to participate in industry visits, consultancy projects, and industrial tours. You will also contribute to the preparation of documents related to accreditation processes such as ISO, NBA, NAAC, and NIRF rankings. Being a team player is essential in this position, as you will be involved in various departmental and college activities. This role requires a full-time commitment and is a permanent position suitable for freshers. Benefits include provided meals, and the work schedule is during the day shift. The work location is on-site, requiring in-person presence. This is a great opportunity for individuals who are dedicated to both teaching and research, and who thrive in a collaborative academic environment.,

As a Front End Software Engineer at Intuit, you will be part of a culture that values innovation, risk-taking, and creativity. We are on a journey to become AI-native and are looking for individuals who can integrate AI and emerging technologies to solve our customers" problems effectively. With a global leadership position in financial management solutions, Intuit has a history of inventing Virtual Platforms and democratizing cloud computing for small businesses. Our startup mentality drives us to constantly explore cutting-edge technology and design paradigms, making our work environment dynamic and fun. You will need a BS/MS in computer science or equivalent work experience, along with at least 2 years of experience in developing web, software, or mobile applications. A solid understanding of software engineering fundamentals, proficiency in frontend technologies like React, JavaScript, Typescript, HTML, CSS, and Graph QL, and familiarity with the Software Development Life Cycle (SDLC) are essential. Experience with web services, unit testing, and test-driven development (TDD) will be valuable, along with strong communication skills to articulate technical concepts to diverse audiences. Your role will involve demonstrating customer empathy by translating insights into mockups, wireframes, and proof-of-concept code swiftly. You will contribute to site stability through code reviews, unit and integration tests, and develop UI features using standard front-end technologies while ensuring proper business logic, backend integration, and styling. Experience with Agile Development methodologies and the ability to collaborate with cross-functional teams to implement AI-based solutions will be crucial. In this role, you will work closely with machine learning engineers and data scientists, staying updated on AI technologies to enhance software development practices. The successful delivery of high-quality web or mobile software, from requirements to design, code, and documentation, will be a key responsibility. If you have a passion for problem-solving, an analytical mindset, and a desire to leverage AI technologies in your work, we encourage you to join our team at Intuit.,

Do you want to be a part of a team that is revolutionizing the global economy Join the dynamic Data & Decision Science (D&DS) team at C2FO, a leading online platform for working capital with a presence in over 160 countries and serving more than $10.5 trillion in annual sales. Based in Kansas City, C2FO has a global workforce of over 500 employees and operates in various regions including Europe, India, Asia Pacific, and Australia. At C2FO, we prioritize the quality of our technical solutions and are committed to building innovative solutions to address business challenges effectively. We also place a strong emphasis on maintaining a healthy work-life balance and fostering a culture of continuous learning. Our team encourages participation in hackathons, book clubs, and supports a remote-first work environment, ensuring that your voice is heard and your contributions make a real impact. The Data & Decision Science team at C2FO is a multifaceted and collaborative group consisting of Data Engineering, Data Science & Analytics, Data Operations, and Business Intelligence pillars. With a presence in India and the US, our team plays a crucial role in driving C2FO's global growth by developing scalable data solutions and promoting data-driven innovation. As a Senior Data Scientist at C2FO, you will have the opportunity to work on a diverse set of challenges ranging from traditional machine learning applications like forecasting and credit scoring to cutting-edge uses of large language models (LLMs) for customer engagement and retention. You will operate in a fast-paced environment that values initiative, ownership, and curiosity. Key Responsibilities: - Develop machine learning models and scalable data solutions for critical business problems such as dynamic discounting, customer retention, and credit scoring - Design and iterate on minimum viable products (MVPs) to address real business pain points - Collaborate across teams to translate complex business challenges into data science problems - Ensure data validation and quality by working closely with Data Engineering and Data Governance teams - Conduct in-depth analyses to derive actionable insights from complex datasets - Foster a culture of learning, innovation, and experimentation Qualifications: - 5+ years of hands-on experience in data science or applied machine learning - Proficiency in mathematics, statistics, and machine learning concepts - Experience deploying machine learning models in production environments - Strong skills in Python, SQL, Pandas, and relevant data manipulation tools - Familiarity with libraries such as Scikit-learn, XGBoost, PyTorch, etc. - Experience in hypothesis testing and experimentation frameworks - Strong problem-solving, communication, and stakeholder management abilities - Bonus: Background in fintech or financial services At C2FO, we prioritize the well-being of our employees and offer a comprehensive benefits package, flexible work options, volunteer time off, and more. We are committed to fostering diversity and inclusion, empowering our team members to bring their authentic selves to work and contribute to our shared success. Join us in creating a workplace that reflects the diversity of our communities and clients worldwide.,

Opportunity to teach advanced data science courses to working professionals. Join a high performing edtech that helps professionals accelerate their careers. About Our Client Our client is a fast-growing, well-funded Edtech venture offering premium, immersive learning in emerging and advanced tech domains. They provide live, instructor-led online courses in advanced tech areas such as AI, ML, Data Science, Future Tech (e.g., Extended Reality, Gaming & E-sports), Finance/FinTech, and UX/UI. Additionally, they offer enterprise training via B2B, B2I, and B2G verticals. Job Description We are seeking a dynamic and experienced academic leader to head our Data Science vertical. The Program Director / Senior Faculty - Data Science will be responsible for driving the overall curriculum design, teaching methodology, and academic strategy for the discipline. This role involves direct oversight of the faculty team, ensuring academic rigor, high-quality content delivery, and learner engagement. The incumbent will be the overall owner of the Data Science vertical - accountable for its academic direction, learner success, and alignment with industry requirements. The Successful Applicant The ideal candidate should be a highly qualified academic and industry professional, ideally holding a PhD in Data Science, Computer Science, Statistics, or a related field from a Tier-1 institution (IITs, IIMs, ISI, or top global universities). They should bring strong experience in applied data science from leading corporate or consulting firms, combined with a proven track record in teaching-particularly with working professionals and executive education. Further, they should demonstrate the ability to lead academic teams, design impactful learning experiences, and communicate effectively with diverse stakeholders. What's On Offer The successful candidate will receive a competitive salary, flexibility in terms of working hours, and a hybrid work mode. Additionally, they will have two complimentary off days every week. Contact: Priya Ramrakhiani Quote job ref: JN-072025-6784097,

You will be responsible for owning P&L management and driving business growth for AIMs corporate AI & data training arm (ADaSci). Reporting directly to the CEO, you will be tasked with formulating and implementing a strategy to increase revenue, establish enterprise partnerships, and expand our portfolio of instructor-led and digital learning solutions. Your main duties will include managing the full P&L for ADaSci training business, which involves activities such as budgeting, forecasting, pricing, and cost control. You will also be required to devise go-to-market plans to promote AI and data science courses, certifications, and custom programs to enterprise clients. Overseeing the end-to-end delivery process, you will be responsible for curriculum design, managing the instructor network, and optimizing learning platforms. Building and nurturing relationships with C-suite stakeholders, L&D leaders, and technology partners to drive pipeline growth will be a crucial aspect of your role. Additionally, collaborating with the marketing team to position ADaSci as a leading provider of upskilling and reskilling solutions will be essential. Monitoring key metrics such as revenue, margin, utilization, and NPS, and implementing continuous improvements to enhance profitability will be part of your responsibilities. Recruitment and mentorship of a high-performing team comprising sales, program management, and content specialists will also fall under your purview. To be successful in this role, you should have at least 15 years of experience in corporate training, EdTech, or professional services with proven P&L ownership. Demonstrated success in selling and scaling AI, data science, or technology training solutions to large enterprises is a must. Strong financial acumen, experience in managing budgets, pricing models, and profitability levers are required. Excellent stakeholder management and negotiation skills, particularly with C-level executives, will be beneficial. Desired skills include being a strategic thinker who can translate market insights into actionable product and sales plans, a hands-on leader capable of balancing sales targets, delivery quality, and operational efficiency, a data-driven mindset for analyzing performance metrics and making fact-based decisions, and a passion for adult learning, upskilling trends, and emerging AI technologies.,

As a Data Analytics intern at Statcon Energia, you will have the exciting opportunity to work with cutting-edge technologies and gain hands-on experience in the field of data analytics. Your role will involve utilizing your skills in Python, SQL, Data Analytics, MS-Excel, Data Science, Power BI, Machine Learning, Artificial Intelligence, Client Relationship Management (CRM), and Enterprise Resource Planning (ERP) to drive insights and support decision-making processes. You will analyze and interpret complex data sets to identify trends and patterns, develop and implement data-driven solutions to optimize business processes, and create visualizations and reports using Power BI to communicate findings effectively. Collaboration with cross-functional teams to support client relationship management strategies and utilizing machine learning algorithms to build predictive models and enhance business intelligence will be part of your day-to-day responsibilities. Additionally, you will assist in the integration and maintenance of ERP systems to streamline operations and stay updated on industry trends and best practices in data analytics to drive continuous improvement. Join us at Statcon Energia and embark on a rewarding internship where you can contribute to meaningful projects and enhance your skills in data analytics. About Company: Statcon Energia is a leading power electronics innovator with simple-to-use yet sophisticated power converters. From manufacturing for Maritime Security, and powering mid-sized factories and offices, to supporting Hydrogen production, Statcon Energia's products aim to fulfill global energy needs. With over 3.5 decades of manufacturing expertise, we provide solutions for every high-power conversion challenge. Statcon Energia is a one-stop-shop with in-house R&D, manufacturing, and aftersales support. Join us today and be a part of the new-age power electronics revolution!,

As an Engineer, IT Data at American Airlines, you will be part of a diverse and high-performing team dedicated to technical excellence. Your main focus will be on delivering unrivaled digital products that drive a more reliable and profitable airline. The Data Domain you will be working in refers to the area within Information Technology that focuses on managing and leveraging data as a strategic asset. This includes data management, storage, integration, and governance, leaning into Machine Learning, AI, Data Science, and Business Intelligence. In this role, you will work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide insights to make better decisions. You will be responsible for implementing data migration and data engineering solutions using Azure products and services such as Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as traditional data warehouse tools. Your responsibilities will involve multiple aspects of the development lifecycle including design, cloud engineering, ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, and production support. You will provide technical leadership, collaborate within a team environment, and work independently. Additionally, you will be part of a DevOps team that completely owns and supports the product, implementing batch and streaming data pipelines using cloud technologies. As an essential member of the team, you will lead the development of coding standards, best practices, privacy, and security guidelines. You will also mentor others on technical and domain skills to create multi-functional teams. Your success in this role will require a Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. To excel in this position, you should have at least 3 years of software solution development experience using agile, DevOps, and operating in a product model. Moreover, you should have 3+ years of data analytics experience using SQL and cloud development and data lake experience, preferably with Microsoft Azure. Preferred qualifications include 5+ years of software solution development experience, 5+ years of data analytics experience using SQL, 3+ years of full-stack development experience, and familiarity with Azure technologies. Additionally, skills, licenses, and certifications required for success in this role include expertise with the Azure Technology stack, practical direction within Azure Native cloud services, Azure Development Track Certification, Spark Certification, and a combination of Development, Administration & Support experience with various tools/platforms such as Scripting (Python, Spark, Unix, SQL), Data Platforms (Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake), Azure Cloud Technologies, CI/CD tools (GitHub, Jenkins, Azure DevOps, Terraform), BI Analytics Tool Stack (Cognos, Tableau, Power BI, Alteryx, Denodo, Grafana), and Data Governance and Privacy tools (Alation, Monte Carlo, Informatica, BigID). Join us at American Airlines, where you can explore a world of possibilities, travel the world, grow your expertise, and become the best version of yourself while contributing to the transformation of technology delivery for our customers and team members worldwide.,

As a Senior Director at Sam's Club, your primary responsibility will be to drive strategic leadership and vision by defining and implementing data science strategies aligned with the company's overall business objectives. You will focus on crafting and operationalizing future-ready membership models, identifying high-impact new club locations, and collaborating with peers to enable Next Best Action (NBA) frameworks and conversational AI capabilities on enterprise data products. Your role will also involve serving as a thought leader on AI/ML innovation and fostering a data-driven culture across the enterprise. You will lead, mentor, and grow a multi-disciplinary data science team, including ML engineers, data scientists, and analysts. It will be essential to build a high-performing team culture centered around innovation, experimentation, and outcomes, while ensuring that talent pipelines and development pathways are aligned with evolving business and tech needs. Collaboration will be a key aspect of your role, as you will partner with various teams such as product, engineering, merchandising, supply chain, marketing, and membership to co-create data products and solutions. You will be responsible for translating complex business questions into clear data science problems and actionable solutions, influencing senior executives and stakeholders with data-backed insights and storytelling. Your role will also involve overseeing the development of ML models and AI systems for key use cases like demand forecasting, personalization, inventory optimization, pricing, fraud detection, and member engagement. It will be crucial to ensure that the models are robust, explainable, scalable, and continuously improved in production environments, while maintaining high standards in model governance, monitoring, fairness, and compliance. In terms of operational excellence and delivery, you will be expected to drive data science project delivery from problem framing to experimentation, development, deployment, and measurement of impact. You will establish OKRs, KPIs, and success metrics for all initiatives and create standardized processes for reusability, documentation, and knowledge sharing. Staying ahead of AI/ML trends and leading experimentation on next-gen algorithms and tools will be part of your responsibility. You will also be required to build partnerships with academia, vendors, and the broader AI/ML community to drive competitive advantage for Sam's Club. To be successful in this role, you should have 15+ years of experience in strategy, data products, advanced analytics, or related fields, with the ability to act as a strategic consultant. Proven experience in driving cross-functional initiatives, understanding of membership models, customer lifecycle metrics, or retail operations, a strong analytical background, familiarity with AI/ML and modern data product infrastructure, excellent communication and executive storytelling skills, and the ability to operate in a highly matrixed, fast-paced environment are essential. Your success in this position will be measured by the timely delivery of foundational initiatives, tangible business impact in terms of increased member engagement, optimized club growth strategy, and scalable self-serve analytics, as well as cross-team alignment and adoption of strategic recommendations and tools.,

At PwC, our team in managed services focuses on providing a variety of outsourced solutions and supporting clients across multiple functions. We help organizations streamline their operations, reduce costs, and enhance efficiency by managing key processes and functions on their behalf. Our team is skilled in project management, technology, and process optimization, ensuring the delivery of high-quality services to our clients. Those in managed service management and strategy at PwC are responsible for transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your role will involve continuous improvement and optimization of managed services processes, tools, and services. As a member of our team, you will build meaningful client relationships and learn how to manage and inspire others. You will navigate complex situations, develop your personal brand, deepen your technical expertise, and leverage your strengths. Anticipating the needs of your teams and clients, you will deliver quality results. Embracing ambiguity, you will be comfortable when the path forward is unclear, asking questions and using such moments as opportunities for growth. Required skills, knowledge, and experiences for this role include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems - Applying critical thinking to break down complex concepts - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy - Developing a deeper understanding of the business context and its changing dynamics - Using reflection to enhance self-awareness, strengths, and development areas - Interpreting data to derive insights and recommendations - Upholding and reinforcing professional and technical standards, along with the Firm's code of conduct and independence requirements As a Senior Associate, you will work collaboratively with a team of problem solvers, addressing complex business issues from strategy to execution through Data, Analytics & Insights Skills. Your responsibilities at this level include: - Using feedback and reflection to enhance self-awareness, personal strengths, and address development areas - Demonstrating critical thinking and the ability to structure unstructured problems - Reviewing deliverables for quality, accuracy, and relevance - Adhering to SLAs, incident management, change management, and problem management - Leveraging tools effectively in different situations and explaining the rationale behind the choices - Seeking opportunities for exposure to diverse situations, environments, and perspectives - Communicating straightforwardly and structurally to influence and connect with others - Demonstrating leadership by engaging directly with clients and leading engagements - Collaborating in a team environment with client interactions, workstream management, and cross-team cooperation - Contributing to cross-competency work and Center of Excellence activities - Managing escalations and risks effectively Position Requirements: - Primary Skill: Tableau, Visualization, Excel - Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advanced Excel, Excel Macro BI Engineer Role: - Minimum 5 years hands-on experience in building advanced Data Analytics - Minimum 5 years hands-on experience in delivering Managed Data and Analytics programs - Extensive experience in developing scalable, repeatable, and secure data structures and pipelines - Proficiency in industry tools like Python, SQL, Spark for Data analytics - Experience in building Data Governance solutions using leading tools - Knowledge of Data consumption patterns and BI tools like Tableau, Qlik Sense, Power BI - Strong communication, problem-solving, quantitative, and analytical abilities Certifications in Tableau and other BI tools are advantageous, along with certifications in any cloud platform. In our Managed Services - Data, Analytics & Insights team at PwC, we focus on collaborating with clients to leverage technology and human expertise, delivering simple yet powerful solutions. Our goal is to enable clients to focus on their core business while trusting us as their IT partner. We are driven by the passion to enhance our clients" capabilities every day. Within our Managed Services platform, we offer integrated services grounded in industry experience and powered by top talent. Our team of global professionals, combined with cutting-edge technology, ensures effective outcomes that add value to our clients" enterprises. Through a consultative approach, we enable transformational journeys that drive sustained client outcomes, allowing clients to focus on accelerating their priorities and optimizing their operations. As a member of our Data, Analytics & Insights Managed Service team, you will contribute to critical Application Evolution Service offerings, help desk support, enhancement and optimization projects, and strategic roadmap development. Your role will involve technical expertise and relationship management to support customer engagements effectively.,

About McDonald's: McDonald's Corporation, one of the world's largest employers with locations in more than 100 countries, is offering corporate opportunities in Hyderabad. The global offices of McDonald's are dynamic innovation and operations hubs, aimed at expanding the global talent base and in-house expertise of the company. The newly established office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating the ability of McDonald's to deliver impactful solutions for the business and customers worldwide. Position Overview: McDonald's is looking for an exceptional Senior Data Product Engineering SRE to take charge of the development and operational excellence of data products that provide insights and drive crucial business decisions. This role requires a unique combination of a product engineering mindset, data platform expertise, and site reliability engineering practices to create, scale, and maintain customer-facing data products and internal analytics platforms. The Senior Data Product Engineering SRE will be responsible for ensuring the end-to-end reliability of data products, from ingestion to user experience, to ensure they deliver business value at scale. Key Responsibilities: - Define and implement a product reliability strategy for customer-facing analytics, dashboards, and data APIs. - Collaborate with Product Management to translate business requirements into scalable, reliable data product architectures. - Establish product metrics, KPIs, and success criteria for data products serving both external and internal customers. - Lead cross-functional initiatives to enhance data product adoption, engagement, and customer satisfaction. - Develop and maintain data products, including real-time dashboards, analytics APIs, and embedded analytics solutions. - Design user-centric data experiences focusing on performance, reliability, and scalability. - Implement A/B testing frameworks and experimentation platforms for data product optimization. - Set and maintain SLAs for data product availability, latency, and accuracy. - Implement comprehensive monitoring for user-facing data products, encompassing frontend and backend metrics. - Create automated testing frameworks for data product functionality, performance, and data quality. - Lead incident response for data product issues that impact customer experience. - Monitor and optimize data product performance from an end-user perspective, including page load times and query response times. - Implement user feedback collection and product analytics to drive continuous improvement. - Collaborate closely with Product, Engineering, Data Science, and Customer Success teams. - Establish engineering practices for data product development, encompassing code reviews and deployment processes. - Influence the product roadmap with technical feasibility and reliability considerations. - Advocate for data product best practices throughout the organization. - Strike a balance between innovation, operational stability, and customer commitments. - Collaborate with Product Management on feature prioritization and requirements. Required Qualifications: - 8+ years of experience in product engineering, data engineering, or SRE roles. - 5+ years of experience in building customer-facing data products, analytics platforms, or business intelligence solutions. - 3+ years in senior or lead positions with direct team management experience. - Proven track record of delivering data products that drive measurable business impact. - Expertise in the product development lifecycle from ideation to launch and optimization. - Advanced experience in building user-facing applications and APIs. - Deep expertise with analytics databases (Redshift, BigQuery, ClickHouse), real-time processing (Kafka, Spark Streaming), and BI tools (Tableau, Looker, Power BI). - Proficiency in React, Vue.js, or Angular for constructing data visualization interfaces. - Advanced skills in Python, Java, or Node.js for API development and data services. - Expert-level SQL skills and experience optimizing queries for interactive analytics workloads. - Extensive experience with AWS or GCP data and compute services. - Strong product sense with the ability to balance technical constraints with user needs. - Experience with product analytics tools (Amplitude, Mixpanel, Google Analytics) and metrics-driven development. - Ability to understand business requirements and translate them into technical solutions. - Strong technical writing skills for customer-facing documentation and API specifications. - Experience with agile product development methodologies (Scrum, Kanban, Design Thinking). - Proven track record of building and scaling product engineering teams. Work Location: Hyderabad, India Work Pattern: Full-time role. Work Mode: Hybrid.,

As a Data Analyst, you will be responsible for analyzing and interpreting complex data sets to identify trends, patterns, and insights. Your role will involve developing and maintaining automated reports and dashboards using VBA and Python. Collaboration with cross-functional teams to gather data requirements and deliver actionable insights will be a key aspect of your job. You will also be expected to create and optimize data models to enhance data quality and efficiency, supporting the development of data-driven strategies to improve business performance. Presenting findings and recommendations to stakeholders in a clear and compelling manner is an essential part of this role. To qualify for this position, you should hold a Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in Advanced Excel and Python for data analysis and automation is required. Strong analytical and problem-solving skills with attention to detail are crucial for success in this role. Experience with data visualization tools such as Tableau and Power BI would be advantageous. Excellent communication skills, both written and verbal, are also necessary for effective interaction with stakeholders. This is a full-time position with a day shift schedule. The work location is in person.,

The role of Director, OPS Data Transfer, Integration & Quality at BNY is a unique opportunity to be part of a global financial services company that plays a significant role in the world's financial system. As a key member of the team, you will contribute to the data journey for Income & Corporate Action by mining and analyzing data to uncover trends, connections between disparate data, and new business opportunities. You will define the Custody Breaks strategy, leverage intelligent automation tools, and develop data-driven stories to shape the Future state Operating Model. Your responsibilities will include collaborating with cross-functional teams to solve complex problems, driving innovation, creating interactive dashboards using various visualization tools, and staying abreast of emerging trends in data science and intelligent automation. A successful candidate will possess a Bachelor's degree in computer science engineering or a related discipline, along with 12 to 15 years of experience. Strong communication skills, proficiency in tools like Celonis, PowerBi, Tableau, Alteryx, and XCeptor, and the ability to resolve complex issues in an uncertain environment are essential. Furthermore, a background in data warehousing/data lakes, experience in the securities or financial services industry, and a passion for quick prototyping and building Intelligent Automation tools will be advantageous. Developing strong connections with stakeholders, complying with standard development methodologies, and fostering a culture of continuous experimentation are integral to success in this role. BNY's inclusive and innovative culture has been recognized through various awards such as Americas Most Innovative Companies, Worlds Most Admired Companies, and top scores in Corporate Equality and Disability Inclusion indices. As an Equal Employment Opportunity/Affirmative Action Employer, BNY values diversity and welcomes individuals from underrepresented groups, females, individuals with disabilities, and protected veterans to join their team.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. In the role of data analysis at PwC, you will concentrate on using advanced analytical techniques to extract insights from large datasets and enable data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. A Fraud/AML Risk Analytics Professional at PwC will be responsible for developing, validating, auditing, and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates are expected to support financial institutions in meeting jurisdictional regulatory requirements and broader risk management initiatives. Key responsibilities include: - Developing and validating AI/ML/NLP models for Fraud/AML/Credit risk - Supporting financial institutions in meeting regulatory requirements and risk management initiatives - Utilizing advanced analytics techniques to extract insights from large datasets - Leveraging skills in data manipulation, visualization, and statistical modeling - Building meaningful client connections and learning to manage and inspire others - Growing personal brand and deepening technical expertise - Delivering quality work while embracing ambiguity and seeking opportunities to grow Core Skill Requirements: - 3-7 years of experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical/Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field - Proficiency in Machine learning algorithms like Random Forest, SVM, Neural Network, etc. - Experience in AML Scenario development, enhancement, and initial threshold setting and tuning - Proficiency in analytical tools such as Python, PySpark, Data Science, and cloud-based analytics - Business knowledge in transaction monitoring system, sanction screening, trade surveillance - Strong knowledge of fraud data analysis, strategy design, and delivery deployment Non-functional Skill Requirements: - Understanding of market trends and demands in the financial services sector - Excellent oral and written communication skills - Solid analytical and problem-solving skills - Process orientation with attention to detail - Industry knowledge of financial products - Willingness to travel to meet client needs Educational Background: - Master's degree or higher in a quantitative discipline - Industry relevant certifications such as CQF, FRM, CFA, CPA are a plus Additional Requirements For Senior Positions: - Consulting skills to structure and conceptualize solutions for complex problems - Experience in leading large risk analytics engagements independently - Ability to support sales pursuits for risk analytics offerings - Strong conceptual understanding of various functional/technical skills - Ability to drive innovation and thought leadership in risk management This role at PwC offers the opportunity to work with cutting-edge technologies and make a significant impact in the field of data analytics and risk management.,

Join Teleparty, a premium remote entertainment service leading the charge in making social TV a global cultural phenomenon bigger than the movies. With over 10 million streamers who have installed our Netflix focused browser extension - Teleparty, we operate the largest social TV service in the world for millions of streamers, all for free. We are committed to building a workforce that reflects our globally diverse audience & being a technology leader in the new social TV category. We're looking for great people who are creative thinkers, self-motivators and impact-makers with a passion to help us shape the future of TV. About the Role We are seeking an experienced and innovative Data/Product Analysts to join our team. The ideal candidate will play a crucial role in driving product direction through data-driven insights and collaborate closely with various teams to enhance our data pipeline and product offerings. Product Direction - Analyze existing data to uncover trends and opportunities for new product features and improvements - Develop and implement sophisticated analytical models to guide product strategy - Present data-driven recommendations to stakeholders and leadership Data Analysis and Visualization - Utilize advanced SQL skills to query and manipulate complex datasets - Create insightful reports and interactive visualizations using tools like Redash - Develop and maintain dashboards to monitor key performance indicators Data Requirements Elicitation - Serve as a data expert in customer-facing roles, addressing complex data-oriented questions - Translate technical findings into clear, actionable insights for non-technical audiences - Collaborate with customer success teams to identify and resolve data-related issues Data Pipeline Enhancement - Work closely with software development teams to identify opportunities for enriching the existing data pipeline - Propose and implement new data collection methods to support product direction initiatives - Ensure data quality and integrity throughout the pipeline Qualifications - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field - 5+ years of experience in data analysis/data science/product analysis roles - Proven track record of using data to drive product decisions and strategy - Expert-level proficiency in SQL and experience with data visualization tools (e.g., Redash, Tableau, Power BI) - Strong programming skills in Python or R - Experience in customer-facing roles and ability to communicate complex data concepts to non-technical audiences - Familiarity with data pipeline architectures and ETL processes - Excellent problem-solving and analytical skills - Strong communication and collaboration abilities Preferred Qualifications - Experience in the entertainment and video streaming sectors - Familiarity with machine learning techniques and their applications in product development - Knowledge of big data technologies (e.g., Hadoop, Spark) - Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) If you're passionate about leveraging data to drive product innovation and enjoy working in a collaborative, fast-paced environment, we'd love to hear from you!,

As a Data Scientist at Objectways located in Chennai, you will have the opportunity to be part of a team that is driving AI innovation and solving real-world problems by leveraging cutting-edge machine learning and reasoning technologies. Our projects are ambitious and diverse, ranging from agent trajectory prediction to complex reasoning systems, multimodal intelligence, and preference-based learning. We are looking for a talented individual like you who is eager to explore the boundaries of applied AI. In this role, you will be responsible for designing and developing machine learning models for both structured and unstructured data. You will work on agent trajectory prediction, complex reasoning, preference ranking, and reinforcement learning. Additionally, you will handle multimodal datasets and develop reasoning pipelines across text, image, and audio modalities. Your responsibilities will also include validating and optimizing prompts for large language model performance and translating research into scalable, production-level implementations. Collaboration with cross-functional teams such as Engineering, Product, and Research is essential to ensure the success of our projects. To qualify for this position, you should have a minimum of 4 years of hands-on experience in Data Science or Machine Learning roles. Proficiency in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools is required. You should also demonstrate expertise in at least one of the following areas: trajectory modeling, preference ranking, or multimodal systems. Experience with LLM prompt engineering, complex reasoning algorithms, graph-based methods, and causal inference is highly beneficial. Strong problem-solving, analytical thinking, and communication skills are essential for success in this role. Preferred skills for this position include familiarity with tools like LangChain, Hugging Face, or OpenAI APIs, exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning, and experience with deploying ML models in production environments using technologies such as Docker and MLflow. By joining Objectways, you will have the opportunity to work on high-impact, next-generation AI challenges, collaborate with top talent from various domains, and enjoy a competitive salary with benefits and a learning budget.,

As an AI Learning Technology Specialist at SHREEJI Education zone in Rajkot, Gujarat, you will play a crucial role in discovering and integrating cutting-edge AI tools to enhance student learning experiences. This hybrid position blends education and technology, focusing on exploration, application, and mentorship. Your responsibilities will include researching new AI tools, evaluating their effectiveness, training students and faculty, and ensuring seamless integration of technology into the learning model. You will collaborate with academic leaders to recommend the best tools, pilot them with students, and design an engaging digital learning ecosystem. Your ability to collect feedback and iterate on tool selection will be essential in shaping the personalized, AI-augmented education mission of the institute. To excel in this role, you should be passionate about the future of education and AI integration, self-driven to explore the latest EdTech trends, and adept at communicating and teaching tech tools to non-tech users. With a background in Artificial Intelligence, Data Science, Computer Science, Educational Technology, or related fields, you should possess strong knowledge of emerging AI tools, productivity apps, and LMS platforms. Your presentation and instructional design skills will be key in translating complex tools into student-friendly workflows. Experience in a school, educational startup, or EdTech environment, familiarity with tools like ChatGPT, Notion AI, Quizizz, Desmos, Classcraft, or custom LMS platforms, and a background in user testing, tech reviews, or content curation are considered bonus points. By joining us, you will have the opportunity to be part of a revolutionary institute where AI empowers human mentorship, collaborate directly with students and educators, and enjoy creative freedom and purpose in your work. If you are comfortable with the on-site schedule from 2:00 PM to 8:00 PM, Monday to Saturday in Rajkot, Gujarat, and proficient in English for professional communication, we invite you to apply for this full-time or part-time position. In addition to a competitive salary, you will receive benefits such as cell phone reimbursement, leave encashment, paid sick time, and performance bonuses. Join us to shape the learning journeys of the future and make a meaningful impact in the world of education and technology.,

The Pre-Sales Consultant plays a crucial role in supporting the sales team to secure deals by creating solutions that align with client requirements. As a Sector/Account-specific Presales Architect, you will be responsible for owning the overall proposal and solution, engaging with multiple service lines to customize proposal contents, and establishing trusted partnerships across various departments. Your deliverables will include handling RFP Q&A, estimations, creating proposal documents, oral presentations, and drafting SOWs. It is essential to develop solution content and narratives from a Technology Industry perspective for all proposals, demonstrating proficiency in writing compelling English and designing visually appealing slides. Collaboration with service lines is key in developing solutions for Software Development, Data Science, Support, Customer Experience, and Digital pursuits. Experience in Digital and Data proposals is preferred to effectively probe clients, seek clarifications on requirements, and communicate these needs to the solution teams. Working closely with subject matter experts, you will craft tailored solutions for clients, leveraging your industry expertise to make persuasive presentations to potential clients. In RFP Management and Bid Management, you will project manage the bid process, prepare bid plans, identify relevant teams/experts, collaborate with stakeholders, monitor progress against the bid plan, and ensure timely submission of responses. Additionally, you will be involved in Commercial Architecting and Estimation, building commercial models for deals, working with Business Finance Managers to determine deal prices and margins, and coordinating with Service Lines and Delivery teams for commercial estimates. Wipro is committed to reinventing the digital landscape and seeks individuals who are driven by continuous self-improvement and industry evolution. As part of Wipro, you will be part of a dynamic environment that encourages personal and professional growth. Embrace the opportunity to shape your reinvention within a purpose-driven organization. Wipro welcomes applications from individuals with disabilities, fostering an inclusive work environment where diverse talents are valued and embraced.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, supported and inspired by a collaborative community of colleagues around the world, and able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Experience in developing digital marketing / digital analytics solutions using Adobe products is required for this role. You should have experience with Adobe Experience Cloud products and recent experience with Adobe Experience Platform or similar CDP. A good knowledge of Data Science workspace and building intelligent Services on AEP is essential. Strong knowledge of datasets in Adobe Experience Platform, loading data into the Platform through data source connectors, APIs, and streaming ingestion connectors is expected. Experience in creating all required Adobe XDM (Experience Data Model) in JSON based on approved data models for all loading data files is a key requirement. You should also have knowledge of utilizing Adobe Experience Platform (AEP) UI & POSTMAN to automate all customer schema data lake & profile design setups within each sandbox environment. Experience in configuration within Adobe Experience Platform all necessary identities & privacy settings and creating new segments within AEP to meet customer use cases is important. Testing and validating the segments with the required destinations, managing customer data using Real-Time Customer Data Platform (RTCDP), and analyzing customer data using Customer Journey Analytics (CJA) are also part of the responsibilities. Experience with creating connection, data views, and dashboards in CJA is necessary. Hands-on experience in configuration and integration of Adobe Marketing Cloud modules like Audience Manager, Analytics, Campaign, and Target is required. Adobe Experience Cloud tool certifications (Adobe Campaign, Adobe Experience Platform, Adobe Target, Adobe Analytics) are desirable. Proven ability to communicate verbally and in writing in a high-performance, collaborative environment is expected. Experience with data analysis, modeling, and mapping to coordinate closely with Data Architect(s) is also beneficial. At Capgemini, you can shape your career with a range of career paths and internal opportunities within the Capgemini group. You will receive personalized career guidance from our leaders and comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Capgemini is committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also, get to participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.,

About The Role Grade M1 to M3 Reports to: Head Analytics Is a Team leader? No Team Size: -- Role Business Analyst/Sr Business Analyst Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role We are seeking a highly analytical and detail-oriented individual to join our team as a Data Analysis and Insights Specialist. In this role, you will be responsible for analyzing complex datasets, extracting meaningful insights, and proposing actionable recommendations to optimize processes and decision-making. Your ability to conduct thorough cost-benefit analyses and effectively communicate findings to stakeholders will be crucial in driving informed business strategies Key Responsibilities Data Analysis & Insights Generation Utilize statistical techniques to interpret data, identify trends, and uncover insights that drive operational efficiencies and strategic decision-making Derive actionable insights from data analysis to address business challenges, improve performance, and capitalize on opportunities Cost-Benefit Analysis Conduct comprehensive cost-benefit analyses to evaluate proposed solutions and ensure alignment with organizational objectives and financial goals Develop well-supported recommendations based on data-driven insights and cost-benefit assessments, ensuring clarity and feasibility Continuous Improvement Stay updated with industry trends, best practices, and evolving analytical techniques to enhance data analysis capabilities and contribute to continuous improvement initiatives Stakeholder Communication Present findings, recommendations, and analyses to stakeholders in a clear, concise manner, fostering understanding and buy-in for proposed solutions Qualifications MBA Finance or MBA Business Analytics with up to 2.5 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & Powerpoint Python/SAS & SQL Insight generation Strong Communication & Presentation skills CBA or Impact Analysis Good to have Skills BI tools (Tableau/PowerBI) Cloud Data Analytics solutions (Sagemaker/Azure) Cloud Data warehousing solutions (Redshift/Snowflake)

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Assist in collecting, cleaning, and analysing large datasets to extract meaningful insights. Develop and implement basic predictive models and algorithms. Support the team in data visualisation and reporting to communicate findings effectively. Collaborate with cross-functional teams to understand data needs and project requirements. Gain hands-on experience in data science tools, techniques, and best practices in a dynamic environment.

We are looking for an AI/ML Engineer to develop machine learning models for real-time prediction systems. The role involves working with large datasets, training and evaluating models, and deploying them to production environments., Responsibilities: Build and train machine learning and deep learning models,Collaborate with data engineers to prepare training datasets,Deploy models using tools like TensorFlow Serving or ONNX,Monitor model performance in production,Optimize models for latency and scalability qualification Required: Master s/Bachelor s in CS, AI, or related field, basic Qualifications : Experience with TensorFlow, PyTorch, or scikit-learn,Proficiency in Python and ML frameworks,Understanding of data preprocessing and feature engineering preferred Qualifications : Experience with MLOps tools like MLflow or Kubeflow Skills : Python , TensorFlow , PyTorch , scikit-learn , MLOps , Data Science