Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Role Responsibilities Automate pricing of ETFs, providing fast and accurate prices in response to quote requests from our clients. Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes. Perform systematic and quantitative analysis of franchise flows and market data, driving business decisions and the design of our automation platform. Work closely with sales and trading, support our automated pricing and trading systems. Be involved with all stages of the software development life cycle with a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and frameworks. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong analytics stills with experience in quantitative modelling and data analytics. At least 3 years’ experience. Strong programming skills in an object oriented or functional paradigm, with particular strength in Java, Python and its core concepts. Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment. Excellent written and verbal communication skills. Preferred Qualifications Experience implementing data-driven, streaming market making models, working with large scale timeseries and dimensional data. Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class), Knowledge of building automated trading systems and researching signals for use in a live trading environment. Experience with machine learning is a plus. Experience with real-time systems/messaging infrastructures Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernetes Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less

Job Description Summary The right candidate will be placed in the Product engineering or product development team. Role and responsibilities will include leadership and technical support to a cross-functional team (across geography and domain). This involves leading the independent project, technical discussions, decision making, driving projects in coordination with different sites, rigor in planning & execution steps, monitoring, and control. The Lead Engineer will have to inclusively lead TCI team members and ramp up capabilities within the team. This will need hands-on execution of the project, supporting other team members, and establishing good practices for cross-platform project execution. The Lead position requires a good balance of technical expertise and interpersonal skill to ensure all stakeholders remain positively involved and the project is delivered at the right quality on time. The ideal candidate will gain product domain knowledge and establish a good teamwork mechanism to ensure effective execution of product engineering projects. The associate will also be responsible for leading the verification strategy creation and execution to deliver high-volume single use disposable medical products. He will be responsible for end-to-end Lab Management activities for the platform. The Lead Engineer will be involved with all aspects of design engineering including new product design and optimizing existing products. In doing so the Lead Engineer will follow BDs Global Product Development System and relevant engineering tools to deliver a high quality, cost-effective design using BD’s Stage Gate framework, DFM/DFSS to deliver cost-effective design-transfer and see it through into manufacturing. The successful candidate will lead test method development activities encompassing measurement system development & analyses, test fixture design and equipment hardware/software validation for measurement system equipment. He/she will ensure that translated product requirements are testable and measurable. The ideal candidate will also participate in executing technical and multi-functional design verification and design validation activities. Job Description General Function Lead R&D efforts through all phases of product development Collaborate with Design & Development, Systems Engineering and cross-functional teams to ensure product requirements are verifiable and measurable. Synthesize, develop, update, and optimize designs based on understanding design space. Understand design options and trade-offs; managing critical parameters; leverage strong engineering fundamentals and tools. Incorporate manufacturing principles early in the development process. Ensure deliverables are reliable across the design space, is adequately pressure-tested to satisfy user, regulatory and business requirements. Understand system and subsystem design sensitivity and identify and address early any potential design integration and transfer risks. Implement DFSS rigor throughout the design selection and development process, leveraging and deploying empirical, statistical, and analytical tools to drive informed design decisions and reduce design iteration cycle times. Ensure the design considerations are embedding all applicable DFX (Design for Excellence) aspects including manufacturability, usability, reliability, and safety. Coordinate with the cross-functional teams (i.e., D&D, Systems Engineering, Marketing, Quality, Regulatory, Manufacturing Technology, Operations etc.) to deliver the design solutions. Lead and ensure implementation and rigor of design control best practices with compliance to BD quality policies and procedures through appropriate communication, training, and education of sound quality assurance principals. Ensure compliance with all local, state, federal, and BD safety regulations, policies, and procedures. Define, plan and lead activities for test method & measurement system development and validation, fixture design and testing optimization in support of Design Verification. Lead end to end responsibility of all the platform level testing and Lab management. Lead creation and execution of verification protocols, summarize results, enable formal design reviews, and own the verification portion of the Design History File. Demonstrate proficiency in spotting Design Variance through relevant statistical measures. Interpret and analyze design verification data with respect to product performance and operational stability in the manufacturing plants. Identify the best tools and approaches to effectively solve engineering problems to develop/optimize designs by leveraging an appropriate mix of first principles / analytical, computational, and experimental methods. Experience solving problems, provides detailed insight and constructive criticism in complex situations, and foresees problems along with potential solutions. Executes Continuous Improvement projects in the following (but not limited to) areas: Equipment or method troubleshooting/repairs. Coordinates with Test Method Development and Verification & Validation team for equipment and method validations Method or Equipment Upgrades Fixture maintenance Drawing or Specification modifications Create and document novel test methodologies and provide feedback and recommendations for product/design changes. Actively build on personal skills, expertise, and competencies. Ensure that technical lessons are reviewed, learned, and disseminated. Ensure compliance with BD quality policies, procedures, and practices. The incumbent will also be responsible for ensuring QMS conformance and ensure that the quality policy and objectives are met per organizational guidelines. Organizational Leadership Quality systems processes: Ensure implementation of quality systems processes including design controls and change control. Project planning: Ensure quality and accuracy of integrated project plans encompassing all cross-functional activities and associated resource requirements. Project management: Ensure comprehensive and effective project plans are developed and actively monitor progress against plans. Be accountable for the timely delivery of all project deliverables as specified in the plans. Budgeting: Develop detailed budgets by project plans. Manage budget diligently and be accountable to perform to the project budget. Stakeholder Management: Identify project stakeholders, establish, and monitor stakeholder engagement. Technology transfer: Ensure efficient and effective transition from research to development to manufacturing in locations throughout the world. Process effectiveness: Ensure appropriate processes are followed for effective and timely engagement of other parts of the company in project activities. Innovation: Develop and apply innovative approaches to ensure the best outcomes in all aspects of the role. Support an environment in which innovation can flourish through empowerment, encouragement, and support. Organizational Development Proactively develop, maintain & share technical knowledge in a specialized area(s), remaining up to date on current trends and best practices. Actively lead, mentor, and motivate team members and junior associates, while also ensuring effective cross-functional communication and engagement. Provide frequent feedback. Continue to raise the bar on the group and help associates rise to expectations. Develop and apply innovative approaches to ensure the effective capture, retention, and communication of technical and project knowledge generated (tacit & implicit). Leadership Responsible for leading, developing, and implementing critical component changes for high volume, disposable medical devices. Influence others: Intuitively and quickly assess people and situations and act accordingly. Demonstrate strong persuasion and timing skills. Remain open to be persuaded when appropriate. Inclusive work environment: Promote and leverage diversity to achieve the best outcomes. Leadership courage: Demonstrate and promote leadership courage by doing what is right. Engage those who disagree to persuade or be persuaded. Instill confidence in associates and customers. Dealing with ambiguity: Demonstrate agility and action orientation when facing change and uncertainty. Effectively manage change and instill confidence. Education and Experience: Education Full time Degree in a relevant engineering field is required (i.e., Mechanical, Industrial & Production, Chemical, Materials Engineering) or master’s degree in a relevant engineering field is an added advantage. Experience 7 - 12 years of experience in the engineering/technical field, with 3 years demonstrated project and team leadership, preferably in the medical device industry with a successful track record of project completion. Strong exposure to six sigma and lean methodologies would be an advantage. Candidates with prior experience in Medical Devices will be preferred. Knowledge Six Sigma knowledge/Black /Greenbelt certification, DFSS, MSA PMP Certifications/Project Management knowledge ISO 20417, ISO 15223-1, ISO 13485, ISO 14971, ISO 62304 Sustenance Engineering project delivery knowledge Statistics and Verification methods Tool knowledge SAP, Master control, JDE added advantage Exposure to CAD/CAE tools (Solid Works, AUTOCAD, PRO-E, etc.) specializing in mold flow, structural designs, CFD and plastics domain is desired. Good understanding of medical device product development risk management methodologies (EURA, FMEA, etc.) will be an added advantage. Expertise with test method development, validation strategy, and execution is required. Expertise with design verification & validation strategy development and execution is required. Expertise in fixture design & development. Strong track record of technical problem solving and effective product development through expert application of engineering principles is required. Design controls expertise and experience with traditional and modern fabrication techniques is required. Proven experience in leading CAPAs, design-defect analyses, remediation is required. Proficiency in solid mechanics/mechanics of materials and proficiency statistical methods/tools is required. Experience with design standard methodologies, including advanced tolerance design, and design for reliability. Working with regulatory standards Exposure to Chemistry/ Chemical Engineering and/or structural analysis and simulation/mathematical modelling desirable. Skills Ability to lead and teach others to assess project/program needs, formulate strategy, build support, and execute initiatives. Strong interpersonal and influence skills. Ability to engage and mentor team members and to maximize diverse perspectives to achieve the best outcomes. Ability to analyze, organize and present large amounts of data in a clear and concise manner. Disciplined, detailed, and well organized with managing documentation in a regulated environment. Ability to execute concurrently multiple projects and manage priorities. Ability to work independently with global exposure is desired. Strong written and verbal communication skills. Advanced Problem-solving skills. Strong Cross-functional Project Leadership skills. Strong technical and managerial judgment. Team orientation. Strong skills in project planning and management. Broad and deep understanding of disciplined change control processes, regulatory, and quality requirements. Strong motivational fit. Strong fit with BD values. Desired / Additional Skills & Knowledge (Not essential to the job but will be an advantage to possess) Experience in solid modelling (SolidWorks) or electromechanical systems is a plus. Experience in high-volume manufacturing processes is a plus. Experience developing and commercializing medical devices is a plus. DFSS training or certifications are a plus. Required Skills Optional Skills Primary Work Location IND Bengaluru - Technology Campus Additional Locations Work Shift Show more Show less

A.P. Moller - Maersk is an integrated logistics company working to connect and simplify its customers’ supply chains. As a global leader in shipping services, the company operates in more than 130 countries and employs over 100,000 people worldwide. Maersk is aiming to reach net zero emissions by 2040 across the entire business with new technologies, new vessels, and green fuels. For more information: www.maersk.com Marketing Data Scientist Role Summary IMEA Regional Marketing is looking for a talented and highly motivated individual to join our team in the role of Marketing Data Scientist. In this role, you will work with marketing and performance managers on translating complex data findings into useful insights that guide decision-making and future marketing investment. You will be responsible for providing useful insights, recommendations, and measurements of marketing campaigns that will drive innovation and efficiency gains for the business. The candidate will define and execute data-driven, analytical solutions to engage our customers and help solve commercial problems. This role is not about crunching numbers, it’s about finding compelling insights within data and using your exceptional business and communications skills to translate those insights into action. As one of the masterminds behind our data-driven campaign planning, forecasting and analysis, you’ll spend your time digging into big, complex data sets, customer touch points and journeys. The data will not remain inert in your hands, however, since you’ll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with marketing and business leaders. You will work closely with the Campaign Leads and Marketing Managers to create insights that shape the campaign strategy of our product and solutions, optimize content, and assess the impact of various initiatives. You will also be responsible for surfacing key business insights and recommendations in campaign planning and reviews. Our team of entrepreneurial, enthusiastic, and customer-centric marketeers are helping global and customers in the Indian subcontinent, Middle East, and sub-Saharan Africa integrate their domestic and international supply chains to reach their end-customers. You will have the opportunity to partner with marketing, sales, revenue operations, and finance to develop strategies and analytics designed to enable informed decision making and lead efforts to identify gaps in our data to better drive engagement, client acquisition, retention, and revenue. Working in close collaboration with a diverse and dynamic team of colleagues around the world, you will be part of setting the direction for our regional marketing team and collaborating across the organization to measure impact performance on all marketing activations. REQUIRED COMPETENCIES AND SKILLS: Job Location: Bangalore, New Delhi, Mumbai, Cape Town, Nairobi, Lagos or Abidjan Basic Qualifications: Bachelor’s degree is required with emphasis on analytical skills – e.g. E-commerce, Data Science, Statistics, Business, Computer Science, or equivalent practical experience 5 years of experience in a Marketing Operations, Demand Generation, Data Planner, or related role, ideally at a B2B technology company or agency. Demonstrated proficiency in analytical work in marketing/sales, or a business operations and analytics environment, including analyzing data with spreadsheet software (e.g. Excel Sheets) and database query (e.g. SQL) experience Champion of data and visualization with strong, effective presentation and story-telling skills. Demonstrated ability to conduct sophisticated and creative analysis to solve business problems and translate the results into actionable deliverables, clearly-written summaries/presentations, and region-wide communications. Power BI experience and/or related business intelligence tools is highly preferred. Experience with marketing analytics platforms like Google Analytics is a plus CRM: Salesforce Sales Cloud experience with explicit knowledge of leads flow process, data hygiene and reporting dashboards Strong skills in data analysis, statistics, programming (e.g. SQL, R or Python) Strong stakeholder management skills and ability to manage interfaces at all levels in the organisation Strong verbal and written communications skills and ability to articulate complex insights to cross-functional audiences. Digitally savvy. Preferred Qualifications: Experience with marketing analysis and data-backed customer segmentation is a plus. Understanding of digital marketing, digital logistics platforms, and solutions. Business acumen and communication skills; proficiency in translating data into actionable insights and digestible formats for the business. Highly organized with multi-tasking skills; efficient in ambiguous situations. Demonstrated ability to work across organizational boundaries. Knowledge about digital campaign landscape, cloud computing market and technologies Your personality Strong results orientation with a proven track record of flawless execution and strong attention to detail Demonstrated flexibility, creativity and problem-solving skills Comfortable working in a demanding, fast-paced changing environment that is going through high growth Self-motivated, enthusiastic, and organized. Independent contributor and self-starter who takes ownership of assignments and sees them to completion A collaborator who can work across diverse teams and build rapport to gain the trust and confidence from local and international stakeholders. Hands-on, can-do attitude, and willing to propose and try new things Complete integrity with sensitive and confidential information Curious by nature, motivated by learning and by taking on challenges Approachable and social – we’re a colorful and diverse team with big ambitions, high energy who also has plenty of fun along the way Great organizational skills and attention to detail; able to execute and prioritize multiple tasks simultaneously. Team player, but ability to work independently and be a self-starter. Responsibilities: This is a hands-on position; the ideal candidate must be willing to roll-up their sleeves and work directly with large datasets, conduct data analysis, build self-service reporting tools and dashboards in an environment of rapid growth and increasing complexity, and communicate complex business insights in a clear and precise manner. The candidate must be a self-starter with a bias towards independent problem solving, a passion for identifying and eliminating bottlenecks, and has the foresight to anticipate business needs, make tradeoffs, and balance business dynamics despite constraints. The ideal candidate must also earn trust through performance and relationship building, think analytically about business challenges, and have experience in marketing campaign management. Support the full spectrum of regional marketing data analytics activities Monitor and forecast marketing and sales trends as well as analyze customer and prospect data and downstream funnel performance using Salesforce, Power BI, and other tools Deep dive into data to investigate trends, topical issues, uncover insights, and explore new opportunities for our business growth. Analyse small to large and complex data sets using a variety of tools such as Google Analytics, Salesforce Einstein Analytics, SQL , R and BI tools Use CRM tool to track performance and analyze data against monthly goals Integrate emerging technologies (AI-powered tools..etc ) with marketing platforms to: Build and deploy predictive models to forecast customer behaviour, sales trends, and marketing campaign outcomes. Develop custom scripts or tools to automate routine marketing analysis tasks Cross-channel attribution and multi-touchpoint analysis – develop multi-touchpoint attribution models to understand the impact of various marketing channels on conversion. Works closely with marketing teams to develop dashboards, extract and analyze data, find opportunities, and develop solid recommendations to increase and optimize campaign performance Examine campaign return on investment and conduct demand waterfall analysis to improve profitability of campaigns and performance throughout the sales funnel Utilise data-driven insights to enable leadership to optimize budget and resource allocation Understand how data, and content should be used to optimize conversion rates for a digital experience Identify gaps and pioneer new ways to optimize campaign planning and execution and improve data integrity. Help develop and deliver analytics or measurement frameworks that foster a Test & Learn culture Assist in the development of a structure for managing data analysis requests that can be scaled and improved upon ongoing; e.g. automating ongoing BAU reporting Prepare reports and present results to internal collaborators and management Contribute to the Regional Head of Marketing reporting cadence to ensure weekly, monthly, and quarterly reports are completed to meet timelines with data accuracy Facilitate adoption of the reporting standards by consistently applying them in daily work and educating end users on applicable usage/interpretation of different methodologies Partner with internal regional and global stakeholders from cross-functional and products teams, data engineers to capture business requirements, shape data, and set up processes to design and build reporting solutions. Primary Stakeholders: Regional Marketing Team Regional Ocean and L&S Product Teams Regional and Area Leadership Regional and Area Vertical and DTS Sales Heads CEN Marketing Team Show more Show less

Company: Haris & Co Academy Location: Calicut, Kerala Experience: 1yr Job Summary: Haris & Co Academy is seeking a passionate and knowledgeable Data Analyst Mentor to train and support aspiring data professionals. In this role, you will lead sessions on data tools and techniques including Excel, SQL, Python, Python Libraries, Power BI, and Tableau, while guiding students through real-world projects and preparing them for careers in the data analytics field. You’ll also assist in maintaining academic quality, fostering practical skills, and supporting operational needs. Key Responsibilities: Mentorship: Provide one-on-one and group mentorship to students, helping them understand core data concepts. Curriculum Delivery: Deliver sessions on Excel, SQL, Python for Data Analysis, Tableau, and Power BI. Facilitate hands-on exercises and real-time case studies to reinforce learning. Industry Insights: Share practical use cases, industry trends, and tools used in modern data analytics roles. Skills Development: Train students in data collection, cleaning, analysis, visualization, and dashboard creation. Strengthen skills in storytelling with data and data-driven decision-making. Project Review: Evaluate student projects and dashboards for clarity, accuracy, and presentation standards. Career Support: Guide students in portfolio creation, LinkedIn optimization, and interview preparation. Provide insights into hiring trends and job roles in data analytics. Operational Support: Support academic and office-related tasks as needed to ensure smooth operations. Qualifications: Technical Skills: Proficient in Microsoft Excel, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, and Tableau. Prefer Knowledge in Machine Learning Libraries. Solid understanding of data analytics workflows, statistics, and data storytelling. Communication & Mentorship: Strong communication and interpersonal skills. Passion for mentoring and teaching aspiring data professionals. Preferred: Familiarity with Jupyter Notebooks, Git/GitHub. Exposure to basic machine learning concepts is a plus. Prior teaching, training, or mentoring experience in an academic or bootcamp environment. Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

Assistant Vice President level role to join our Analytics & Data organization as part of the Key Platform & Data Solutions function. The candidate will be responsible for the ongoing support, analysis and reporting on key business data metrics for the management and stakeholders, collaborating to help determine timely solutions and providing actionable insights. Key Responsibilities Key responsibilities will include, but will not be limited to the following: > Work in a fun, fast-paced environment designing, building, and optimizing analytics solutions that drive value for our clients. > Act as a key support resource for users of the Wealth Management Analytics Platform, assisting them with DataIKU, Tableau, and other tools to solve business problems. > Develop and maintain data pipelines and workflows in DataIKU, ensuring data quality and governance best practices are followed. > Leverage Snowflake, Azure, and Databricks to manage, integrate, and transform large datasets for analytics purposes. > Implement and maintain data security and access controls through Immuta in compliance with organizational policies. > Participate in Proof of Concepts (POCs) and evaluation of new analytics tools and technologies. > Collaborate with development teams to ensure features and functionality meet user needs and align with product vision. > Work closely with platform, technology, legal, and compliance teams to drive decisions across cross-functional groups. > Assist with defining critical user journeys, use cases, workflows, and business processes that align with the product vision and address critical user needs. > Support the prioritization of the product roadmap, including release planning and development of business requirements. > Help maintain a prioritized product backlog; identify, groom, and validate epics and user stories for agile sprints. > Contribute to backlog refinement and sprint planning ceremonies to communicate requirements effectively to the development team. > Teamwork skills - The candidate must be flexible in their work style and be able to work collaboratively with A&D team-members in Mumbai, NY/NJ, and Budapest. > Create documentation, enhance user experience, and drive user adoption. > Provide reporting support as needed. Experience > 3-5 years' experience in data-centric role (Overall ~6 years). > Bachelor's degree required. > Experience in Data & Analytics and/or Financial Services is a plus. Required Skills > Bachelor's degree in computer science, Information Systems, Statistics, Mathematics, or a related field. > Proven hands-on experience with DataIKU for building data pipelines and workflows. > Knowledge of Snowflake, Azure Data Services, and Databricks for cloud data warehousing and analytics. > Understanding of Immuta or similar data access control tools. > Solid understanding of data governance and data quality frameworks and best practices. > Experience working with SQL and large datasets. > Strong communication skills, with the ability to support and train users in a dynamic environment. > Familiarity with agile methodologies and experience contributing to backlog grooming and sprint planning. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. The Growth Support Proposal Specialist is part of a national team that collaborates with pursuit leaders to produce brand- and risk-compliant proposals, pursuit deliverables and other documents. Essential Duties Coordinate with pursuit leaders, business developers and other internal team members to prepare and produce pursuit documents. Prepare pursuit documents leveraging existing text and graphics using multiple databases and resources. Review pursuit deliverables to monitor brand and risk compliance and quality assurance standards while ensuring adherence to Associated Press (AP) and RSM guidelines. Project manage pursuit to coordinate version control, edits, and meet deadlines. Keep abreast and knowledgeable of firm thought leadership. Ensure that pursuit documents leverage current statistics, graphics and language. Create and coordinate delivery of pursuit documents. Serve as a resource to others within the team and within the firm for proofreading and editing to ensure proposal documents, bios and other pursuit materials adhere to firm brand and risk guidelines. Monitors CRM platform to ensure proposal data is reflected accurately. Maintain accuracy of records within the SharePoint request database. Talent and Team Development Regularly engages, participates and contributes to group discussions and activities within their teams. Ensure effective support of relationship development and growth strategy by collaborating with ESS growth team leaders, engagement leaders, business developers and pursuit teams. Collaborates effectively with Growth Support leaders, team members, ESS subfunctions, and other internal Firm Client Service (FCS) teams to ensure business needs are met. Other duties as assigned Education Associate’s degree or 2 years' experience in related field Technical/Soft Skills (required) Demonstrates a working knowledge of tools, resources and technology required with assigned responsibilities Some experience with customer relationship management software Intermediate Microsoft Office skills Ability to communicate with a diverse audience both verbally and in writing Ability to learn other platforms (i.e. Microsoft Dynamics) Strong grammar and proofreading knowledge Effective organization, prioritization and time management skills and attention to detail Special Requirement Specific to Job Experience 1-3 years’ relevant experience in a related field or area Demonstrated experience managing multiple projects of low to moderate risk Ability to interact with multiple levels of leadership Leadership (required) Cultivates a safe environment to ask questions, share innovative ideas and make suggestions. Provides relevant and timely performance feedback to others, both positive and constructive Provides peer-to-peer collaboration and guidance Helps build a diverse and inclusive culture in the workplace At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com. Show more Show less

Job Requirements Role/ Job Title: Growth Manager - HPE Function/ Department: HPE Job Purpose Responsible for developing and executing marketing strategies to drive engagement and retention for existing customers. They collaborate with cross-functional teams to optimize campaigns and initiatives for maximum impact. Roles & Responsibilities Develop and execute growth marketing strategies to achieve user acquisition and retention goals. Manage digital marketing channels. Collaborate with cross functional teams to optimize user journeys and experiences. Conduct market research and competitor analysis to identify growth opportunities. Implement and analyze A/B tests to optimize campaign performance. Monitor and report on key performance indicators (KPIs) to track the effectiveness of marketing efforts. Identify trends and insights to inform future marketing strategies. Stay informed about industry trends and best practices in growth marketing. Secondary Responsibilities Expert in problem solving skills & Positive attitude. Understand the Business Portfolio target & able to plan marketing strategy & plan execution with stakeholders. Optimized customer journey (CRO) on digital platform / assisted journey Bureau data understanding & utilize the same in digital marketing. Basic Assets & Credit Card Product Knowledge Expert in sales lead management / lead lifecycle Knowledge to handle both existing & new customer marketing strategy. Comfortable to work in Agile team with incremental RoI strategy Basic knowledge of Data Analytics & Statistics (From marketing perspective) Education Qualification Graduation: Science / Commerce /B Tech - Computer Science / IT Post-graduation: MBA Experience: 2+ years of relevant experience. Show more Show less

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent – Mandatory. • Proven track record in Demand Forecasting – Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning. Show more Show less

DEPARTMENT PROFILE Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $1.6 trillion in assets under management or supervision as of September 30, 2024. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide. Description Of Role We are looking for career-minded professionals with global perspective to join the Mumbai based Integrated Marketing Services team as an Associate or Senior Associate to be involved in marketing specialist team. The role specifically supports the senior members of the Marketing Operations within MSIM Marketing The successful candidate has experience in or knowledge of the investment management industry, experience with aggregating and interpreting performance, characteristics and other investment strategy data and representing these on marketing collateral along with a deep understanding of different investment products. Key Responsibilities As part of the Marketing Operations team and reporting to the India lead of Marketing Operations functionally, the individual is responsible for the following – Actively involved in production and maintenance of various asset class marketing materials like Presentation, Fund Analysis, investment brochures, flyers, fund spotlights, factsheets, etc., Creation of marketing collaterals and work with firm systems, databases and resources to source quantitative and qualitative data, complete drafts of performance updates and other content updates within marketing collateral. Responsible for preparing customized client reporting for clients which includes portfolio positioning, performance review and risk statistics Work closely with the reporting team in operations to respond to potential client reporting and portfolio data related queries Review reporting requirements and setup customized reports for new and existing clients Work on ad-hoc projects related to database management, client reporting process and any other initiatives on the marketing collateral Ensure accuracy and timeliness of data through implementation of quality control processes, proofing and data checking. Experience And Skills In depth knowledge of the global investment management industry In depth knowledge of investment products in the Fixed Income and Multi Asset space. Strong attention to detail with solid critical thinking and problem solving capabilities Excellent project and time management skills Demonstrated leadership ability and strength in communicating across multiple teams; working with partners to adhere to schedules and meet deadlines Thrive in a fast paced, highly collaborative environment Effective, proactive communicator with exceptional English writing and public-speaking skills; capable of interacting with colleagues at every level and across functions and investment teams Highly skilled project manager; able to manage multiple deliverables, effectively convey expectations, efficiently guide team members, and deliver against timelines Possess attention to detail within the larger context of a complex investment ecosystem Qualification / Technical Expertise Bachelor’s degree Updating and creating of presentation skills required Minimum of 3-5 years of relevant industry experience in the Asset Management industry and preferably in an investment support of marketing collateral creation role. Strong technical knowledge of financial instruments (Equity and Fixed Income) and multi-asset investing along with willingness to learn about the portfolio implementation techniques used by the investments teams. Good communication and ability to work and think independently, but within a team-based approach Proficiency in MS PowerPoint, Word and MS Excel , Strong interpersonal skills; ability to develop effective working relationships with key stakeholders What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. We're committed to bringing passion and customer focus to the business. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Hiring Talent Market Research Specialist with Vodafone Intelligent Solutions (_VOIS) About Job Experience: 4-8years Work Location and Work Mode: Bangalore, Hybrid Job Description: Job Summary: We are in search of a highly driven and detail-oriented Research Analyst with a primary focus on delivering market insights. The Research Analyst will be at the forefront of our efforts to gather, analyze, and present data critical to our organization's strategic decision-making. This position provides an exciting opportunity to work in a dynamic team, using your research and analytical skills to produce valuable market trends insights. Responsibilities: • Market Insights: Spearhead the collection, analysis, and presentation of market data to provide strategic insights that guide our organization's decision-making. • Data Analysis: Employ advanced analytical techniques to extract meaningful information, identify market trends, and patterns from data. • Report Generation: Create clear and concise reports and presentations to communicate market trends insights effectively to management and stakeholders. • External Partnerships: Collaborate with third-party research agencies and vendors to ensure the acquisition of high-quality market research data. • Data Quality Assurance: Ensure data accuracy and integrity by implementing validation processes and data cleansing activities. • Stay Informed: Keep abreast of the latest research methodologies, tools, and emerging trends in data analysis and market research. • Experience in Power BI/Python/SQL and in any Automation tool is mandatory. Qualifications: • Bachelor's degree in a relevant field (e.g., Business, Economics, Statistics, or related discipline). A Master's degree is advantageous. • Demonstrated experience in market research and data analysis. • Proficiency in data analysis software, statistical tools, and database management. • Strong analytical and critical thinking skills. • Exceptional communication and presentation capabilities. • Attention to detail and the ability to work independently. • Problem-solving skills and the capacity to draw meaningful conclusions from data. Preferred Attributes: • Knowledge of statistical software (e.g., SPSS, R, or Python). • Familiarity with data visualization tools like Power BI. • Industry-specific market research experience: Telecom/ technology About the Company : About VOIS: _VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, _VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India: In 2009, _VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, _VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Show more Show less

Job Title Data Science - Intern Division WBS - Data Tower Location Remote Work Arrangement Hybrid Purpose of Role A Data Science Intern in a mining manufacturing organization like Weir plays a pivotal role in bridging academic knowledge with real-world data challenges. By applying analytical techniques, building predictive models, and uncovering actionable insights that support strategic decision-making, the intern contributes to the organization's data-driven transformation. Why Choose Weir Be part of a global organization dedicated to building a better future: At Weir, we constantly reinvent, adapt, and find sustainable ways to access essential resources. Each of us contributes to this mission, making it an exciting challenge. An opportunity to grow your own way: Weir offers a dynamic environment where you can take on new challenges, explore new areas, and tailor your career path with support and freedom. Feel empowered to be yourself and belong: Weir is inclusive and values each individual's contribution. We focus on people and their well-being, promoting fairness, honesty, transparency, and authenticity. Key Responsibilities Perform exploratory data analysis (EDA) to uncover insights. Targeted capability testing of Data Platforms such as Microsoft Fabric and Databricks. Creating and developing evaluation framework for Agentic Systems. Assist in data developing frameworks for creation of reusable patterns in Generative AI product development. Collaborate with cross-functional teams to understand business requirements. Document findings, methodologies, and code for reproducibility. Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture. Job Knowledge/Education And Qualifications Basic understanding of statistics and machine learning concepts. Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). Experience with SQL is a plus. Exposure of Generative AI is a plus Strong analytical and problem-solving skills. Good communication and teamwork abilities. Currently pursuing a Bachelor's or master's degree in engineering. Availability for a full-time internship for 2 months Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives. For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page. Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status. Show more Show less

Minimum 3 to 4 years of teaching experience Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Education: Bachelor's (Preferred) Experience: Teaching: 1 year (Preferred) Making lesson plans: 1 year (Preferred) total work: 1 year (Preferred) Language: English (Preferred) Work Location: In person

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Knowledge & Experience and Certification (if applicable) 1. Understanding of server architecture, deployment, maintenance, and troubleshooting. 2. Ability to diagnose and resolve hardware issues, Knowledge of optimizing hardware performance. 3. Understanding of firewalls, and secure network design, Basic Knowledge of SAN Storage. 4. Understanding of RAID configurations, storage provisioning, and management. 5. Experience with backup software (e.g., Veeam, CommVault, Veritas) and Tape Library. 6. Knowledge of disaster recovery planning and implementation. 7. Ensuring the integrity and security of backed-up data. 8. Understanding of change management processes and tools. 9. Ability to communicate effectively with technical and non-technical stakeholders. 10. Strong analytical skills to troubleshoot and resolve complex issues. 11. Experience working in a collaborative environment, often with cross-functional teams. 12. Knowledge of virtualization technologies (e.g., VMware, Hyper-V). Roles and Responsibilities 1. Documentation and Reporting of information (such as Daily Activity Statistics, System performance incidents, System architecture, configurations and Key metrics) to the EWS team for review. 2. Timely resolution and minimal disruption to services and Diagnosis of Technical Issues and Troubleshooting. 3. Maintaining integrity and security of Software updations and patching. 4. Ensure the proper functioning of servers and other hardware components critical to the EWS solution. 5. Plan and execute hardware upgrades or replacements to improve performance or address obsolescence. 6. Attending to VAPT observations and ensuring rectifications. 7. Continuously monitor hardware, database, and Network performance and implement tuning measures to optimize system efficiency. 8. Oversee the configuration and management of network components supporting the EWS solution, ensuring reliable and secure connectivity. 9. Diagnose and resolve network-related problems that impact the EWS application, working with network engineers as needed. 10. Continuously evaluate and improve processes related to the operation and support of the EWS solution. 11. Take Backups and Test restoration of database and applications as per Bank’s Backup and Restoration Policy. 12. Follow established escalation procedures to refer complex or unresolved issues to higher-level support or specialized teams. Coordinate with senior engineers, network administrators, and vendors as necessary. 13. Monitor storage usage and plan for future capacity needs. 14. Troubleshoot and resolve database-related issues in a timely manner. 15. Apply patches and updates to database software to address vulnerabilities and bugs. Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Commuter assistance Health insurance Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

General information Country India State Telangana City Hyderabad Job ID 44779 Department Development Experience Level EXECUTIVE Employment Status FULL_TIME Workplace Type On-site Description & Requirements As an Associate Machine Learning Engineer / Data Scientist, you will contribute to the advancement of research projects in artificial intelligence and machine learning. Your responsibilities will encompass areas such as large language models, image processing, and sentiment analysis. You will work collaboratively with development partners to incorporate AI research into products such as Digital Assistant and Document Capture. Essential Duties: Model Development: Assist in designing and implementing AI/ML models. Contribute to building innovative models and integrating them into existing systems. Fine-tuning Models: Support the fine-tuning of pre-trained models for specific tasks and domains. Ensure models are optimized for accuracy and efficiency. Data Clean-up: Conduct data analysis and pre-processing to ensure the quality and relevance of training datasets. Implement data cleaning techniques. Natural Language Processing (NLP): Assist in the development of NLP tasks like sentiment analysis, text classification, and language understanding. Large Language Models (LLMs): Work with state-of-the-art LLMs and explore their applications in various domains. Support continuous improvement and adaptation of LLMs. Research and Innovation: Stay updated with advancements in AI/ML, NLP, and LLMs. Experiment with new approaches to solve complex problems and improve methodologies. Deployment and Monitoring: Collaborate with DevOps teams to deploy AI/ML models. Implement monitoring mechanisms to track model performance. Documentation: Maintain clear documentation of AI/ML processes, models, and improvements to ensure knowledge sharing and collaboration. Basic Qualifications: Educational Background Programming and Tools Experience 1-2 years of total industry experience Minimum 6 months experience in ML & Data Science Skills Problem-Solving and Analytical Skills Good oral and written communication skills. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field. Specialization or coursework in AI, ML, Statistics & Probability, DL, Computer Vision, Signal Processing, or NLP/NLU is a plus. Proficiency in programming languages commonly used in AI and ML, such as Python or R & querying languages like SQL. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Experience with relevant libraries and frameworks, such as scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. This role offers a great opportunity to work with cutting-edge AI/ML technologies and contribute to innovative projects in a collaborative environment. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Location: New Delhi (On-site) Employment Type: Full-Time / Part-Time Experience: 1–5 Years (Freshers with strong technical skills may apply) Industry: Education / IT / Digital Skills Training About CABA INNOVATIVES: Established in 1993, CABA INNOVATIVES is a leading institute in Multimedia, Animation, Digital Marketing, and IT training. We offer UGC-recognized degree and diploma programs with a strong focus on industry-relevant skills and guaranteed job assistance. Key Responsibilities (Max 250 characters): Teach Data Analytics tools: Excel, SQL, Python, Power BI, Tableau Design projects, tests, and assessments Guide students on practical analytics and capstone projects Maintain attendance and student performance records Keep curriculum updated with industry trends Mentor and support students in learning journey Mandatory Requirements: Diploma or Degree in Data Science, Computer Science, Statistics, IT, or related field Strong grasp of Python, Excel (Advanced), SQL, Tableau/Power BI, and Analytics fundamentals Good communication and presentation skills Passion for teaching and student mentorship Portfolio or project experience is preferred Additional Advantages (Preferred but not mandatory): Certifications (Google, IBM, Microsoft, etc.) Teaching or corporate training experience Exposure to cloud-based analytics (BigQuery, AWS) Knowledge of R, Google Analytics, and basic ML Perks & Benefits: Competitive salary & bonus Fixed academic hours Free access to tools and learning platforms Growth opportunities in academic leadership Job Type: Full-time Pay: ₹12,000.00 - ₹30,000.00 per month Supplemental Pay: Performance bonus Education: Higher Secondary(12th Pass) (Preferred) Language: English (Preferred) Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role – Manager - Content strategist (Internal Communications) for LDT Lean Digital Transformation (LDT) function is spearheading the AI-led transformation agenda for G and its clients by leading the interplay of deep industry expertise, highly specialized talent, proprietary agentic solutions, and responsible AI framework. We fuse Lean and Six Sigma to optimize processes, bring end-to-end process linkage, reimagine businesses with digital solutions and predict problems before they occur by embedding Analytics into operations. Stepping into this role offers first-line managers a unique opportunity to thrive in a dynamic and high-impact environment. As the Content Strategist for Internal Communications , you will play a pivotal role in shaping narratives, driving employee engagement, and managing change communication across the organization. This role provides multi-faceted exposure, including crafting leadership presentations, drafting whitepapers, running internal communication campaigns, creating demo videos for tech solutions, and developing high-impact content for marquee internal events such as Townhalls and Rewards & Recognition programs. The ideal candidate must have a sharp eye for storytelling, an ability to translate complex information into compelling narratives, and a flair for connecting with diverse audiences. The LDT function demands strategic thinking and decisive execution to effectively convey complex ideas with clarity and purpose. The challenges you'll tackle daily will serve as a powerful platform to sharpen your communication acumen, build stakeholder trust, and demonstrate leadership potential. With high visibility among senior leadership, this role acts as a springboard for high-potential talent. Exceptional performance is not only recognized but also actively considered for future leadership opportunities. Responsibilities Drive the internal communications strategy, aligning with Genpact and leadership vision Plan, create, and deliver quality content across formats—emailers, reports, newsletters, intranet, video scripts, presentations, playbooks, SOPs, and executive summaries Write, edit, and proofread high-quality content for org-wide announcements, ensuring clarity, tone, and alignment with brand voice Liaise with cross-functional teams (Account Managers, Business Leads, HR, Design) to gather inputs and ensure cohesive communication Drive end-to-end internal campaigns—execute, amplify, reinforce messag ing , and track effectiveness across channels Apply a data-led approach to communication, with a strong grasp of reporting, dashboard insights, and content-performance metrics Assist in managing the Adoption Framework for all UIOP tools in Genpact, build and execute on adoption strategy for tools, undertake change management activities including dashboarding and reporting on critical metrics and work with multiple leaders and teams to drive adoption Act as a point of escalation for communication-related queries and ensure timely resolution Qualifications we seek in you! Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Communications, Journalism, Public Relations, or related disciplines with a focus on Analytics, Statistics, or Digital Relevant years of experience in internal communications, preferably within IT/ ITeS organizations Demonstrated experience in executing internal communication campaigns—such as leadership messages, newsletters, whitepapers, executive summaries, video scripts, teasers, and related content Solid project management skills with hands-on experience in internal communications, employee engagement, and change management initiatives Versatile writer with an adaptable style and s olid business acumen with the ability to align messaging to company strategy and priorities Proficient with collaboration platforms (e.g., MS Teams, SharePoint) Proficiency in Microsoft Excel and PowerPoint Preferred qualifications MBA in communications, journalism, public relations, or relevant field Advanced Microsoft Excel and PowerPoint s k ills Solid understanding of the social media landscape with experience in optimizing content for digital channels like LinkedIn , X, and corporate website E xposure to Marketing and Public Relations campaigns is preferred Familiarity with video production workflows and creative briefing Experience with industry Award submissions is preferred Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training Job Manager Primary Location India-Gurugram Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 15, 2025, 11:14:56 PM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective leadership and supervision of daily operations and personnel, strategy planning, contract compliance, resource optimization and capability development for an account. ͏ Do Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders & Clients Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming years by identifying new geographies for alternate revenue streams Collaborate with clients and identify countries that need to be mapped to bring revenues for the same product Part of internal WIPRO leadership planning meeting to discuss revenue numbers for the account Report to global delivery account head on status of the account Ensure a deep enough understanding of clients’ individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and maintain a green card at all times Review and drive appropriate actions/ systemic changes on internal and external audit findings to ensure no major non-compliances are cited Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines ͏ Delivery governance in the account Understand customer goals and key performance metrics and ensure exceeding those goals throughout the project Ensure a green card for all accounts in terms of performance and quality Monitor and review delivery dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Ensure regular invoicing as per the contract terms and condition Forecast and track key account metrics ͏ Invoicing Timely submission of invoices to the client as defined in the SOW Provide information required and resolve any invoicing issues raised by the client Work with internal teams by supporting activities such as RFP response, doing use capability demonstrations, and participating in the customer calls to sell solutions Identify opportunities for quick wins through automation and related initiatives in the account (wherever applicable) Collect and analyze statistics (costs, customer service metrics etc.) Assume responsibility of budgeting and tracking expenses ͏ Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as required Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Mandatory Skills: Institutional_Finance_Buy_Side_Others. Experience: >10 YEARS. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) Experience in building NLP solutions and/or GEN AI are strongly preferred Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. Team player with strong relationship building, management and influencing skills Strong verbal and written communication skills American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations

Requisition Number: 101352 Architect I - Data Location: This is a hybrid opportunity in Delhi-NCR, Bangalore, Hyderabad, Gurugram area. Insight at a Glance 14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortune’s World's Best Workplaces™ list #14 on Forbes World's Best Employers in IT – 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions. About the role As an Architect I , you will focus on leading our Business Intelligence (BI) and Data Warehousing (DW) initiatives. We will count on you to be involved in designing and implementing end-to-end data pipelines using cloud services and data frameworks. Along the way, you will get to: Architect and implement end-to-end data pipelines, data lakes, and warehouses using modern cloud services and architectural patterns. Develop and build analytics tools that deliver actionable insights to the business. Integrate and manage large, complex data sets to meet strategic business requirements. Optimize data processing workflows using frameworks such as PySpark. Establish and enforce best practices for data quality, integrity, security, and performance across the entire data ecosystem. Collaborate with cross-functional teams to prioritize deliverables and design solutions. Develop compelling business cases and return on investment (ROI) analyses to support strategic initiatives. Drive process improvements for enhanced data delivery speed and reliability. Provide technical leadership, training, and mentorship to team members, promoting a culture of excellence. What we’re looking for 8+ years in Business Intelligence (BI) solution design, with 6+ years specializing in ETL processes and data warehouse architecture. 6+ years of hands-on experience with Azure Data services including Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure SQL DB, Synapse, Power BI, and MS Fabric. Strong Python and PySpark software engineering proficiency, coupled with a proven track record of building and optimizing big data pipelines, architectures, and datasets. Proficient in transforming, processing, and extracting insights from vast, disparate datasets, and building robust data pipelines for metadata, dependency, and workload management. Familiarity with software development lifecycles/methodologies, particularly Agile. Experience with SAP/ERP/Datasphere data modeling is a significant plus. Excellent presentation and collaboration skills, capable of creating formal documentation and supporting cross-functional teams in a dynamic environment. Strong problem-solving, time management, and organizational abilities. Keen to learn new languages and technologies continually. Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or an equivalent field What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Today's talent leads tomorrow's success. Learn more about Insight: https://www.linkedin.com/company/insight/ Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India

͏ Initial Responsibilities include: Work as part of a team-based structure, sourcing key data inputs to assist the lead LCS analyst in the evaluation of higher quality new credit investments in the US and European Primary and Secondary Credit Markets. Ability to learn alongside the lead LCS analyst who will perform a thorough analysis of the Borrowers’ business, industry drivers, inherent credit risks, and valuation/recovery prospects. Provide support for ongoing credit monitoring including the collection and storing of financials and diligence items from data rooms; enriching internal credit database with key deal statistics; enhancing declined deal statistics, in order to provide data to Marketing / PMs as to why we declined a deal and/or reference the deal vs. a peer. Respond to ad-hoc requests from the lead LCS credit analysts and provide relevant information as needed. Provide support to lead LCS analyst in updating and maintaining credit shell financials for higher quality credit names. In the medium / longer term - additional responsibilities could expand to include drafting of summary notes on earnings and newsworthy events. The LCS lead analyst will maintain sign-off of credit shell financials, summary notes, and commentary before distribution to the Portfolio Management teams. Desired Candidate Profile: The candidate should have basic experience working with US/European companies and having knowledge of US/European Financial Statements, Accounting Principles and Capital Structures. Candidates having experience in working with US/European Corporate Bonds, Financial Modelling will be an added advantage. The candidate should have hands on experience in working with or covering US/European credit companies. Strong Microsoft Office skills (MS Excel, MS PowerPoint and MS Word) with high proficiency in Microsoft Excel Highly motivated and the ability to effectively work as an individual contributor and possess strong analytical, problem solving, critical thinking and decision-making skills, multitask and deliver under tight deadlines The profile involves effective communication across Clients' facilities globally and hence possessing excellent interpersonal and communication skills in verbal and written English is a must Client - LCS (COE) Credit Research Sensitivity: Internal & Restricted A demonstrated ability to write effectively and summarize large amounts of information succinctly and quickly A desire to work in an international team environment, often under pressure and with multiple stakeholders Domain Skill Sets Master's Degree in Commerce, Finance. CA/CFA/FRM will be an advantage. Experience: 4+ years of overall experience, including 2+ years in credit research, financial processes Good understanding of financial ratios, terms balance sheet components Functional knowledge and work experience in credit risk, spreading and analysis required High proficiency in Excel skills, ability to formulate and create macros Knowledge of third-party tools, software systems and working experience in tools for financial records, intelligence such as Bloomberg, Agent data sites will be an advantage Excellent communication skills - written, oral and inter-persona ͏ Deliver No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback 2 Self- Management Productivity, efficiency, absenteeism, Training Hours, No of technical training completed

About Strand Life Sciences: Strand is a 24-year-old spin-off from the Indian Institute of Science. We are a cutting-edge Genomics company with a global customer base. We build applications that use DNA sequencing to improve human health. In the process, we build algorithms, data pipelines, and visualizations to handle large amounts of sequence data. We are committed to transforming complex data into actionable insights, contributing to groundbreaking research and innovative solutions in the field of genomics. We anticipate that in the next few years, hundreds of millions of individuals will have their DNA sequenced, and invite you to join us in this transformative journey. About the Position: We are seeking a dynamic and experienced professional with a hybrid background in engineering and biology to join our interdisciplinary team. The ideal candidate will bring 6-8 years of hands-on experience in biotechnology and apply their expertise to solve complex problems in bioinformatics, genomics, or computational biology. This is a cross-functional role involving collaboration with wet lab scientists, data engineers, and domain experts to drive research, innovation, and product development. Key Responsibilities: ● Design and implement data analysis pipelines for genomics, transcriptomics, or proteomics. ● Lead projects involving algorithm development, statistical modeling, or ML/AI applications in biology. ● Collaborate with biology and engineering teams to interpret results and guide experimental design. ● Curate and analyze public and proprietary biological datasets. ● Prepare scientific documentation, technical reports, and research publications. ● Mentor junior team members and contribute to strategic technology planning. Required Skills: ● Strong programming skills (Python, R, or equivalent). ● Experience with NGS data analysis, omics workflows, or bioinformatics tools. ● Solid understanding of molecular biology, genomics, and biotechnology principles. ● Familiarity with computational methods, statistics, and database management. ● Proven experience working in cross-functional research or biotech environments. Preferred Qualifications: ● B.Tech / M.Tech / M.Sc / Ph.D. in Computer Science, Electrical Engineering, Biotechnology, Bioinformatics, Physics or a related discipline with a strong foundation in Biology ● Experience with cloud-based computation (AWS, GCP, or Azure). ● Familiarity with tools like GATK, STAR, DESeq2, or scRNA-seq pipelines. ● Previous leadership in cross-disciplinary projects or biotech product development. We offer: ● An innovative and open culture in a truly multicultural environment ● An opportunity to make a fundamental impact on human health ● Vibrant multidisciplinary scientific interaction and learning opportunity ● A collaborative and solution-oriented environment where you can make a difference ● A competitive salary and generous benefits Show more Show less

Job Purpose As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with client PMs to data collection and reconciliation. Look for automation requirements and communicate with relevant teams to bring it to production. Desired Skills and Experience Essential skills 0-3 years of experience with data cleansing, collation, and reconciliation Hands-on experience with advance excel Exposure to SQL and Python Basic understanding of Statistics and exposure to data visualization Experience working with financial and/or alternative data products Excellent analytical and strong problem-solving skills Interest in quantitative equity investing and data analysis Education: MBA finance/ MCA / B.E./B.Tech or related field Key Responsibilities Data cleaning and onboarding the datasets Understanding the datasets and gathering insights from the data Develop validation checks to ensure the data quality Creating meaningful data products and reports from datasets Problem solving/ability to gather & analyze information from a variety of sources Engage with technical and non-technical clients as SME on data asset offerings Key Metrics Advance excel, SQL Data cleaning and data quality Behavioral Competencies Good communication (verbal and written), Attention to detail Experience in managing client stakeholders

The Role As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2–5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, GA4, Amplitude, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: Mixpanel: 1 year (Required) Amplitude: 1 year (Required) Hotjar: 1 year (Required) SaaS: 1 year (Required) heatmap/session replay tools: 1 year (Required) Work Location: In person