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EY-GDS Consulting-AI and DATA- Shiny R Developer- SeniorAt EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.     EY-Consulting - Data and Analytics – Senior- Shiny R DeveloperEY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers &amp; asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunityEY is seeking a talented and experienced Shiny R Developer to join our dynamic team. The ideal candidate will have a strong background in R programming and Shiny application development, with a proven track record of delivering high-quality solutions for real-world use cases. Experience3- 7 years of experience. Skills and attributes for success<ul><li>Minimum 2 years of hands-on experienced with basic and advanced R and experience in writing R modules</li><li>Minimum 1 year of hands-on experience with Shiny for R/POSIT, developing applications for real use-cases</li><li>Experience using gargoyle, r6 classes, ggplot, dplyr</li><li>Experience using DBI for postgres db interaction</li><li>Experience with testing tool "testthat" and working with websockets</li></ul> What we look for<ul><li>A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment</li><li>An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.</li><li>Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries</li></ul> What working at EY offersAt EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:<ul><li>Support, coaching and feedback from some of the most engaging colleagues around</li><li>Opportunities to develop new skills and progress your career</li><li>The freedom and flexibility to handle your role in a way that’s right for you</li><li> </li></ul> EY | Building a better working world    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.     Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.     Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

Research Analyst

Data Scientist 3At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.In the OCI AI Science org, we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist III, you will play a key role in developing large-scale datasets leveraging Machine learning and Generative AI to train Generative AI models. You will work closely with scientists, engineers, and product teams to design benchmarking frameworks, ensure the highest standards of model and data quality.  Key Responsibilities:<ul><li>Design and develop large-scale datasets to power generative AI models in multimodal domains (e.g., text, vision, speech), with a focus on synthetic data creation.</li><li>Build robust pipelines and tooling for data acquisition, cleaning, transformation, and quality assurance to support model training and evaluation.</li><li>Research, implement, and adapt cutting-edge techniques (e.g., fine-tuning, RLHF, data augmentation) to align generative models with domain-specific needs.</li><li>Curate and annotate datasets, ensuring diversity, representativeness, and compliance with responsible AI practices. </li><li>Evaluate open-source and research models, integrating best practices into data generation workflows. </li><li>Collaborate with engineering teams to ensure datasets and synthetic data pipelines are scalable, reliable, and production ready.</li><li>Develop metrics and benchmarking frameworks to assess data quality, model alignment, and downstream impact across modalities.</li><li>Partner cross-functionally with product, research, and infrastructure teams to drive innovation in data preparation and generative AI applications.</li></ul>Qualification and Skills:<ul><li>Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 3+ years of industry experience.</li><li>Proficiency in Python and solid foundation in applied ML methods.</li><li>Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production. </li><li>Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.</li><li>Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li><li>Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with multimodal models a bonus.</li><li>Proven track record of delivering scalable, data-centric ML solutions. </li></ul>Career Level - IC3As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Mid Level

Oracle India Private Limited

Data Scientist

Lead Analytics SpecialistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts.Roles and Responsibilities:<ul><li>You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed</li><li>You would have/develop a strong understanding of the business &amp; product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML</li><li>You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view</li><li>You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features</li><li>You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms</li><li>You will develop compelling stories with business insights, focusing on strategic goals of the organization</li><li>You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness</li><li>Set high standards in project management; own scope and timelines for the team</li><li>Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)</li><li>Mentoring analysts within the team to deliver effectively, incubating new ideas.</li></ul>Mandatory Qualifications:<ul><li>Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field</li><li>5-7 years of high quality hands-on experience in analytics and data science</li><li>Hands on experience in SQL and Python</li><li>Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.</li><li>Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.</li><li>Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction</li><li>Work experience in Consumer-tech organizations would be a plus</li><li>Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities</li><li>Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Lead Generation Specialist

Quant Analytics AssociateWe have an exciting opportunity for you to advance your career in AI and data analytics.As a Quant Analytics Associate within the Data Analytics team, you will design, develop, and deploy AI solutions for Chase Travel. You will collaborate with various teams to create AI applications, focusing on natural language processes and information extraction, to drive analytics insights and support the AI roadmap.Job Responsibilities<ul><li>Organize, update, and maintain data to support engineering and analytics functions.</li><li>Develop enterprise data models and large-scale data processing pipelines.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Act as a data expert, providing insights and recommendations to account teams.</li><li>Develop dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Assist AI Product teams by providing analytics and guidance for the AI roadmap.</li><li>Identify and track data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or related field.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>4+ years of experience in designing and implementing data models and analytic solutions.</li><li>Experience with ETL/ELT processes in cloud-based data lake platforms like AWS, Azure, or Snowflake.</li><li>Proficient in SQL, Python, and Alteryx for data analysis and engineering.</li><li>Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau.</li><li>Effective verbal and written communication skills.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Aptitude Specialist

Senior Director - RNA<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>About the Role:We are seeking an experienced and visionary Sr. Director – Analytics to lead our analytics strategy and execution, focusing on driving value for Hi-Tech Professional Services and Loyalty accounts. This leadership role is central to shaping our data-driven decision-making culture, enabling actionable insights, and delivering measurable impact across client engagements.As a senior leader, you will oversee advanced analytics initiatives, build high-performing teams, and partner closely with business stakeholders to develop innovative solutions that enhance customer engagement, operational efficiency, and business growth.Key Responsibilities:Lead the development and execution of analytics strategies for Hi-Tech Professional Services and Loyalty programs, ensuring alignment with business objectives.Build and manage a high-performing analytics team, fostering a culture of curiosity, innovation, and continuous learning.Collaborate closely with business leaders, account teams, and clients to understand objectives and deliver actionable insights.Design and oversee delivery of advanced analytics solutions, including predictive modeling, customer segmentation, churn analysis, and personalization strategies.Leverage data visualization tools to create intuitive dashboards and storytelling outputs for executive and operational consumption.Drive the operationalization of analytics insights into client workflows, maximizing adoption and business impact.Establish governance frameworks for data quality, security, and compliance across all analytics initiatives.Stay ahead of industry trends, emerging technologies, and best practices to continuously enhance our analytics capabilities.Manage vendor and partner relationships to bring in cutting-edge tools and solutions.Present findings, insights, and recommendations to C-level executives and client stakeholders in a clear and compelling manner.Key Requirements:15+ years of experience in analytics leadership roles, with demonstrated success in managing large, complex analytics programs.Proven expertise in Hi-Tech Professional Services environments and Loyalty account analytics.Strong understanding of customer lifecycle analytics, loyalty metrics, customer segmentation, and personalization at scale.Proficiency in advanced analytics techniques including predictive modeling, statistical analysis, and data mining.Hands-on experience with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI, Google Analytics, Adobe Analytics).Experience with cloud-based data and analytics environments (e.g., AWS, Azure, GCP).Excellent leadership and people management skills, with experience growing and mentoring diverse teams.Exceptional communication and storytelling abilities, with a track record of influencing senior stakeholders.Bachelor's or Master’s degree in Data Science, Statistics, Business Analytics, or a related field. Advanced certifications are a plus.What We Offer:Leadership role with high visibility and strategic influence.Opportunity to shape the analytics roadmap for marquee accounts.Collaborative and high-growth environment.Competitive compensation and benefits package.<h4>Qualifications</h4>Prior experience delivering analytics solutions for global clients in the Hi-Tech sector.Familiarity with AI/ML applications in customer engagement and loyalty optimization.Experience in Agile environments and cross-functional collaboration.Ability to manage multi-million-dollar programs and deliver business impact at scale<h4>Experience Level</h4>Executive Level

WNS Global Services Pvt Ltd

Senior Business Analyst

IN_Senior Associate_ AWS Data Engineer_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions Knowledge about the concepts of data lake and dat warehouse Experience working with AWS big data technologies Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. Deploy and configure components to production environments Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS Data EngineerYears of experience required:4-8 yearsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Cloud Engineer

Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Senior Associate Data Analytics L2 The Senior Associate Data Analytics you’ll be thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. you’ll be a lead in developing and driving our team and our business to get the most out of data. You’ll push thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. The ideal applicants will be eager to help on a variety of projects and be continuously&nbsp;looking to grow their skills&nbsp;Your Impact:<ul><li>Delivering analytics and optimization solutions</li><li>Lead business requirement conversations with external partners to understand their business requirements and articulate those into measurable KPIs.</li><li>Creating experiences within optimization tools or connecting with CRM developed experiences</li><li>Designing end-to-end analytics solutions to convert requirements to Solution Design Reference (SDR), define data layer and tagging guides for analytics and marketing tools</li><li>Creating and maintaining Adobe Analytics JavaScript tags and plugins and be able to validate and debug using relevant debugging tools.</li><li>Understanding of Adobe Marketing stack and how various tools work together to build data driven businesses</li></ul> QualificationsYour Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Analytics implementation</li><li>Hands-on experience with Adobe analytics, AT&amp;T, and optimizes.</li><li>Working knowledge of Adobe Launch.</li><li>Strong experience in at least the programming languages Java Scripts, HTML, R, and Python Hands-on working knowledge of Adobe (AAM) Salesforce (Krux)</li><li>Well-versed and working knowledge with Adobe Report builder, Workspace, GA console</li><li>Testing tool experience on Omnibug, Httpfox</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of web trends and core metrics</li><li>Knowledge of tag management tools like Tealium/Ensighten</li><li>Knowledge of BI Tools Tableau, Power BI, Google Data Studio, Qlikview, Datorama</li><li>Cloud knowledge on GCP/Azure/AWS</li></ul>

Data Analyst

Senior Data Scientist As a Senior Data Scientist at Gojek, you will be at the forefront of leveraging data to drive strategic and operational improvements. You will lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our service offerings and operational efficiency. What You Will Do<ul><li>Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis.</li><li>Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.</li><li>Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team.</li><li>Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics.</li><li>Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization.</li><li>Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making.</li><li>Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company’s competitive edge.</li></ul> What You Will Need<ul><li>Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.</li><li>5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.</li><li>Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).</li><li>Understanding of statistical concepts and techniques, with experience applying them to real-world problems.</li><li>Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.</li><li>A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.</li></ul>

Gojek

Report Developer What You’ll Do:<ul><li>Develop and maintain reports using Power BI / SSRS</li><li>Design semantic models and write DAX queries</li><li>Create paginated reports and dashboards for analytics</li><li>Work with Report Builder (RDL files) to deliver high-quality insights</li><li>Collaborate with cross-functional teams to understand business requirements</li></ul> Required Skills:<ul><li>Strong experience in Power BI, SSRS report development</li><li>Hands-on with Semantic Models, DAX, and RDL files</li><li>Experience with Power BI paginated reports and analytics dashboards</li></ul> Good to Have:<ul><li>Exposure to Logi, Telerik, or other reporting technologies</li></ul> <ul><li>Experience - 4 – 6 Years</li></ul> Share your updated resume now.

Accion labs india pvt ltd

Test Analyst

Data Scientist Description<ul><li>Practical knowledge and working experience on Statistics and Operation Research methods.</li><li>Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.</li><li>Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.</li><li>Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.</li><li>Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.</li><li>Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS</li></ul> Experience: 5+ Years

Colan Infotech Pvt Ltd

Data & Analytics AVP We are seeking individuals proficient in SQL, SAP HANA Cloud, and API integration, with a strong foundation in data engineering and the development of scalable AI-driven applications.An added advantage would be familiarity with Agile methodologies.Experience: 7–15 years Share your resume now.

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System Analyst

Alteryx Certified Engineer We are looking for talented Alteryx Certified Engineer who are passionate about automation and data transformation. This role offers the opportunity to design and build Alteryx solutions that replace manual, Excel-based processes (EUCs), driving efficiency and accuracy across critical business operations. Experience: 5+ Years Key Responsibilities<ul><li>Collaborate with BAU SMEs to understand EUC requirements.</li><li>Design, document, and develop Alteryx workflows to automate manual processes.</li><li>Build scalable Alteryx solutions that enhance efficiency and reduce risk.</li><li>Support testing, troubleshooting, and deployment of workflows.</li><li>Ensure compliance with organizational standards and best practices.</li></ul> What We’re Looking For<ul><li> Alteryx Certification (required)</li><li> Proven expertise in Alteryx workflow design &amp; development.</li><li> Strong problem-solving and analytical skills.</li><li> Ability to engage with SMEs and translate requirements into solutions.</li><li> Experience in automation of manual/Excel-based processes (EUCs).</li></ul> How to Apply: Please send your resume. Subject line: Resume for Alteryx Certified Engineer Also mention: Current Location, CTC, ECTC, and Notice Period in your application.

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