About Us Delta is a leading design practice based in Pune, spearheaded by the visionary leadership of Mr. Rajeev Shah and Ar. Amay Shah. Our dynamic portfolio encompasses a wide spectrum of architectural, interior design, and design-build projects. Job summary We are actively seeking accomplished Architects with minimum 2 years of hands-on experience to become integral members of our Pune-based team. The ideal candidate should exemplify a good portfolio that showcases not only their creative prowess but also their technical finesse and an commitment to detail. Roles and Responsibilities As a key member of our team, the architect will be actively engaged in the entire project lifecycle, from conceptualization through to execution. Responsibilities will encompass the formulating design development studies and detailed drawings. Orchestrating seamless collaboration with diverse consultants, contractors, and project stakeholders Conducting site visits to evaluate design implementation and ensure quality of work. Collaborate with other team members from the studio. Skills and Qualifications Required software proficiency includes AutoCAD, Google SketchUp, and optionally, 3D Max. Candidates should have a minimum of 2 years of experience in the field. The candidate is expected to possess good skills in architectural conceptualization, design development, and preparation of working drawings. Candidates with 3D visualization skills in addition to architectural design will be given preference. They should have a thorough understanding of materials and their applications. Candidates should have prior experience participating in the end-to-end project process, from design to execution. How to apply? Interested candidates are expected to email their CV and Portfolio to admin@delta.studio . Shortlisted candidates will be invited for an in-person interview as a part of the hiring process. Thank you. Team Delta. Show more Show less

Airlearn is looking for a highly driven and resourceful professional to join the CEO’s Office. This role demands a strong mix of research, data analytics, and execution capabilities to support strategic initiatives and ensure swift delivery. If you thrive in fast-paced environments, have a startup or consulting background, and can hustle to get things done, this opportunity is for you. Key Responsibilities: * Partner closely with CEO on strategic projects and key business initiatives. * Conduct market, competitor, and industry research to provide actionable insights. * Analyze data from multiple sources to support business decisions and track performance. * Prepare crisp, data-backed presentations and reports for leadership and stakeholders. * Drive cross-functional projects end-to-end, ensuring timely execution and results. * Coordinate with internal teams and external partners to align on objectives and deliverables. * Serve as a problem-solver, stepping in wherever needed to keep things moving smoothly. Who You Are: * 3+ years of experience in startups, consulting, or similar fast-paced, high-impact roles. * Strong analytical skills with hands-on experience in Excel, SQL, and data visualization tools (Power BI, Tableau, etc.). * Excellent research capabilities with the ability to distill complex information into clear insights. * Exceptional communication skills — both written and verbal — to influence and inform. * Self-starter with a bias for action and a relentless focus on getting things done. * Comfortable working in ambiguity and wearing multiple hats. --- Preferred Qualifications: * MBA or Master’s degree preferred but not mandatory. * Experience working directly with CXOs, founders, or in Chief of Staff roles. * Exposure in Tech startup environments is a plus. * Familiarity with fundraising, investor relations, or strategic partnerships is advantageous. Show more Show less

Job Summary Looking for a Python Fraud Analyst || Bangalore/Gurgaon/Hyderabad to join a team of rockstar developers. The candidate should have a min of 4 years of experience. About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas. Key Responsibilities: Develop and implement fraud detection models using Python and machine learning techniques. Analyze large datasets to identify patterns and anomalies related to fraudulent behavior. Collaborate with fraud investigation teams to translate business problems into analytical solutions. Create dashboards and visualizations using Power BI to track fraud KPIs and trends. Write and optimize SQL queries for data extraction and transformation. Conduct root cause analysis on detected fraud and suggest process improvements. Stay current with the latest fraud trends, tools, and regulatory requirements in the banking industry. Must-Have Skills: 4–8 years of experience in fraud analytics , specifically in the banking or financial services sector. Strong programming skills in Python for data manipulation and model building. Proficiency in SQL for querying and managing large datasets. Experience with Power BI for dashboard development and data visualization. In-depth understanding of fraud detection methodologies, anomaly detection, and risk scoring. Why Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage. Here's a glimpse of what life at CodeVyasa looks like Life at CodeVyasa. Show more Show less

Our technology services client is seeking multiple QA Manager to join their team on a contract basis. These positions offer a strong potential for conversion to full-time employment upon completion of the initial contract period. Below are further details about the role: Role: QA Manager Mandatory Skills: Automation, BDD, Cucumber, Selenium, Web driver, Rest Assured, Shell Scripting Experience : 12+ Years Location : Bangalore Notice Period : 15 Days or Less Job Description : Testing Certification (e.g. ISTQB, etc.) Knowledge of Programming/Scripting: Java, Shell Automation Frameworks (Java Based): Cucumber BDD, Selenium WebDriver, Rest-Assured, Serenity BDD Performance Testing Tools: JMeter Data visualization and monitoring tool: Grafana Test Management & Defect Tracking Tools like JIRA, HP ALM Understanding of SDLC & STLC including Agile Scrum CI/CD Tools: Jenkins, GitLab CI Database: SQL Testing Certification: ISTQB Analytical & Problem-Solving Skills Strong analytical thinking to identify root causes of issues Ability to interpret complex requirements and translate them into test cases Risk analysis and prioritization of testing efforts Leadership & Management Skills Team management and mentoring Resource planning and task delegation Conflict resolution and motivation Performance evaluation and feedback Communication & Collaboration Skills Clear verbal and written communication Ability to collaborate with cross-functional teams Stakeholder management and reporting Client interaction and expectation management Process-Oriented Skills Familiarity with Agile, Scrum, or DevOps methodologies Process improvement and QA best practices Documentation and compliance with standards (e.g., ISO, CMMI) If you are interested, share the updated resume to rajesh.s@s3staff.com Show more Show less

📊 Job Opening: Data Analyst – Fresher (Remote) 🏢 Company: Appzime Technologies 🧑‍💼 Experience: 0–1 year (Freshers Welcome) 📍 Location: Remote (Work from Anywhere) 💰 Salary: ₹25,000 – ₹30,000/month 🔍 About the Role We’re looking for an enthusiastic and analytical Data Analyst (Fresher) who is eager to dive into data, uncover insights, and support data-driven decisions across marketing, tech, and operations. This is a remote-first opportunity with real responsibilities and steep learning. 📌 Key Responsibilities Collect, clean, and analyze data from internal tools, Excel sheets, Google Analytics, and databases. Prepare reports and dashboards using Excel, Google Sheets, or Power BI. Assist in identifying business trends, performance gaps, and improvement areas. Work with cross-functional teams (Marketing, Product, Tech) to support ongoing reporting needs. Conduct exploratory data analysis and support in creating visualizations. ✅ Requirements Bachelor's degree in Statistics, Mathematics, Computer Science, or any related field. Proficiency in Excel, Google Sheets, and basic formulas. Understanding of data analysis concepts, basic statistics, and visualization. Familiar with SQL and tools like Power BI, Google Data Studio, or Tableau (preferred but not mandatory). Good communication skills and a proactive, self-learning mindset. Bonus: Academic projects, internship experience, or certifications in data analysis. 🌟 Why Join Appzime? Work from anywhere with a flexible schedule. Learn from real datasets and live industry projects. Get mentorship from data professionals and growth-oriented teammates. Exposure to cross-domain data (marketing, product, ops). Clear path for upskilling into data science or BI roles. 📧 Apply Now: careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

Entity: Production & Operations Job Family Group: Subsurface Group Job Description: About Bp bp Technical Solutions India (TSI) centre in Pune, aims to build on bp’s existing engineering and technical strengths to deliver high quality services to its hydrocarbons and new energy businesses worldwide. TSI brings together diverse engineering capability to provide technical services across a range of areas including engineering, maintenance, optimization, data processes, projects and subsurface, to deliver safe, affordable and lower emission energy, while continuously innovating how we work. About The Role BP Technical Solutions India (TSI) centre in Pune, aims to build on bp’s existing engineering and technical strengths to deliver high quality services to its hydrocarbons and new energy businesses worldwide. TSI brings together diverse engineering capability to provide technical services across a range of areas including engineering, maintenance, optimization, data processes, projects and subsurface, to deliver safe, affordable, and lower emission energy, while continuously innovating how we work. Global Subsurface Solutions (GSS) delivers high-quality, high impact, subsurface technical products to address prioritised business challenges across bp’s oil, gas, and low carbon businesses. As a Petroleum engineer you will be responsible for applying broad petroleum engineering experience and using innovative digital and data science technologies to deliver system monitoring, optimization and capacity growth across the 4-chokes (Reservoir-Wells-Plant-Export). You will have the opportunity to work across BP’s global portfolio in multi-disciplinary, global teams supporting central and regional squads to deliver safe, reliable and optimised production operations. What You Will Deliver Work closely with the regions across the globe, using broad petroleum engineering methods combined with numerical modelling and data analytics to partner with asset teams to deliver safe, reliable and optimised production. Deliver HSE commitments, champion identification of carbon reduction opportunities and demonstrate strong safety leadership behaviours. Communicate powerfully across disciplines, leadership, and asset engineering squads. Support delivery of the Production Management activities through delivering PE activities integrated across 4-chokes. Perform surveillance & monitoring of integrated production system to understand well and reservoir health and performance. Create and maintain numerical models, data analysis & data visualization tools for surveillance and optimization of integrated production systems. Optimize integrated production system to deliver safe, reliable, low carbon operations and identify opportunities to grow installed production capacity. Provide technical coaching to asset squad members. Identify opportunities to improve and grow PMU Petroleum Discipline and Production Management capability. Share Petroleum Engineering monitoring & optimization lessons learned with wider bp community. What You Will Need To Be Successful Must have educational qualifications: Bachelor/master’s degree in engineering or science Must have experiences/skills (To be hired with): HSE: Uphold and demonstrate safety leadership behaviours. Strong technical contributor: Broad production operations experience, demonstrated integration, optimisation and monitoring across 4-chokes (Reservoir, Wells, Plant, Export) and strong track record of delivery. Digital tools: Working knowledge of Petroleum Engineering toolkit inc. Integrated Production Modelling e.g. PETEX. Experience in use of data analytics. Skillful Communicator: Ability to communicate effectively with multi-disciplinary, operational and leadership teams with track record of sharing learnings. Excellent written and verbal communication skills in English Natural Integrator: Able to listen to different perspectives, adapt and identify how to converge different points of view in an integrated solution. Agile: Ability to manage and prioritise multiple activities, quickly respond to changing business priorities and cope with short-term deadlines. Learning: Strong desire to further develop and learn new skills Minimum years of relevant experience: Min 9 years’ experience as Petroleum Engineer, with experience in production management and operations engineering. Good to have experiences/skills (Can be trained for – learning/on-the-job): Experience of deepwater subsea production systems, pressure transient analysis (PTA), artificial lift, downhole flow control, reservoir and well integrity management and sand management. Gas reservoir management experience and/or waterflood management. You will work with Your line manager will be the TSI Petroleum Engineering Discipline Leader. You will work in Pune, India, but will be remotely deployed into an international, integrated production support ‘squad’ where day-to-day activities/deliverables will be prioritised by the squad leader. These GSS squads typically consist of 5-10 multi-disciplinary technical members in several locations and are deployed based on global production business prioritisation. You will work in close collaboration with subsurface and production teams in the country your squad supports and with bp’s global subsurface technical specialists and subject matter experts. Why join bp At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. Diversity Statement: At bp, we provide an excellent environment and benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others! Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender and gender identity, sexual orientation, age, marital status, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Data Analysis, Geomechanical analysis, Reservoir Forecasting and Business Planning, Reservoir geomechanics, Resource, Reserves Estimation and Storage Volume Assessment, Rock Properties Framework, Subsurface integration, Subsurface uncertainty and risk management, Well and Area Performance Management, Wellbore geomechanics Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Summary: We are looking for a highly motivated and experienced Senior QA Engineer to join our growing team. In this role, you will be responsible for ensuring the quality of core product capabilities through robust test planning, test automation, and continuous improvement initiatives. You will work closely with Product Managers, Developers, SREs, and Support teams to deliver high-quality, microservices-based cloud solutions. This position requires strong analytical, problem-solving, and communication skills along with a deep understanding of modern QA practices and tools. Responsibilities: Own quality for core product areas, ensuring that each release meets the highest standards. Collaborate with Product Managers to understand feature requirements and translate them into detailed test strategies and plans. Work with developers to gain insights into design and architecture for better test coverage. Design, develop, and maintain automated test cases and frameworks for UI, API, and performance testing. Contribute to and improve the existing test automation frameworks (data-driven, keyword-driven, or hybrid). Integrate automated tests into CI/CD pipelines for continuous validation. Set up and execute performance and load testing to identify system bottlenecks. Collaborate with the SRE and Support teams to triage issues from the field, perform root cause analysis, and implement corrective actions. Review and improve QA best practices, processes, and tools. Participate in code reviews and maintain documentation related to test cases and quality metrics. Qualifications: 5–8 years of hands-on experience as a QA Engineer, with a strong focus on test automation and quality processes. Proven experience with Selenium WebDriver using Java or Python, and RestAssured for API automation. Expertise in automation frameworks (TestNG, JUnit, Cucumber, etc.) and tools like Eclipse/IntelliJ, JMeter, or similar. Strong knowledge of Web Application Testing and RESTful APIs. Good understanding of Databases and proficiency in SQL for data validation. Exposure to CI/CD tools (like Jenkins), and containerization technologies such as Docker and Kubernetes. Experience with test and defect management tools like JIRA, TestRail, or similar. Familiarity with third-party API integrations and validating them in different environments. Hands-on experience with cloud platforms (AWS/GCP/Azure) is a plus. Ability to work effectively in agile environments with cross-functional global teams. Strong communication and interpersonal skills. Preferred Qualifications (Bonus): Experience with performance testing tools (e.g., JMeter, Locust). Working knowledge of ServiceNow, Jira, or similar platforms. Exposure to Security Testing or Accessibility Testing is a plus. ISTQB or equivalent QA certification is a plus. Experience in handling customer-reported issues promptly and accurately, including effective communication Experience working with monitoring and visualization tools such as PromUI, Athena, Kibana, or similar platforms is a plus Show more Show less

Who We Are Mindtickle is the market-leading revenue productivity platform that combines on-the-job learning and deal execution to get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product. We’re honoured to be recognized as a Leader in the first-ever Forrester Wave™: Revenue Enablement Platforms, Q3 2024! Job Snapshot A critical component of our customers' success is ensuring that their teams effectively use Mindtickle to achieve revenue outcomes. Mindtickle’s Content as a Service (CaaS) team helps customers on this journey, and we are looking to grow this team. The role of Senior Instructional Designer at Mindtickle goes beyond traditional instructional design or content development. You will not only create content but also take ownership of the entire project lifecycle, including client management, storyboarding, visualization, contentdevelopment, and the delivery of learning experiences with precision and attention to detail. We take an experiential approach to learning—our programs are designed to be transformational, not just one-time or transactional. If creating such learning experiences sounds like your cup of tea, we’d love to hear from you! (Our office tea is pretty amazing!). What’s in it for you? Lead impactful learning solutions to help customers' adoption and engagement. Collaborate closely with peers and key stakeholders to brainstorm solutions, understand the business impact of each, and execute with finesse. Develop best-in-class learning assets by building and maintaining reusable, scalable turnkey solutions that help customers accelerate their enablement initiatives. Contribute to strategic initiatives by supporting internal teams at Mindtickle with expertise and proven solutions. Design and develop engaging content using tools like PowerPoint, Articulate Rise, and others. Ensure excellence in every deliverable by conducting thorough quality reviews and refining content based on feedback. We’d love to hear from you, if you: Own 5+ years’ experience as an Instructional Designer, Content Developer or Content Designer along with a bachelor's degree. Possess advanced skills in needs analysis, storyboarding, scripting, and module production/development Want exposure to cutting-edge instructional design trends and technologies to enhance content creation and learner engagement. Want to contribute to impactful learning experiences that help clients see the value of training through real-world applications. Have experience driving projects end to end with SMEs, from analysis to final deployment, and hands-on experience using PowerPoint. Acquire experience building eLearning solutions using any one of the authoring tools such as Camtasia, Articulate, Captivate, or Rise. Are able to prioritize, schedule, and meet deadlines, owning and driving projects from ideation to final deployment. Have excellent written and oral communication skills. Hold experience with learning management systems. Have obtained an Instructional Design certification (preferred). Have experience in curriculum design and learning consultancy (preferred). Have exposure to multiple output formats such as SCORM, videos, and job aids (preferred). Our culture & accolades As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks and many opportunities for growth. Our culture reflects our employee's globally diverse backgrounds along with our commitment to our customers, and each other, and a passion for excellence. We live up to our values, DAB, Delight your customers, Act as a Founder, and Better Together. Mindtickle is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire. Show more Show less

Role- Analytics - Power BI Dashboard reporting Location- Gurugram Budget-7LPA Responsibilities Required Skills Must have- -Power BI Dashboard reporting Dashboarding & Visualization Design intuitive dashboards and visualizations (Power BI, Tableau, etc.) to present complex data clearly. Create self-service reporting tools for HR and leadership. Data Analysis & Interpretation Analyze workforce data to identify patterns and trends in hiring, engagement, turnover, DEI, and performance. Perform predictive and prescriptive analytics (e.g., turnover risk, future talent needs). Advanced Analytics & Modeling Build statistical models and dashboards for talent management, forecasting, or scenario planning. Use regression, clustering, and other data science techniques to answer HR business questions. Strategic Insight Generation Provide data-driven recommendations to HR leadership and business units. Link workforce metrics to business KPIs like productivity, revenue per employee, or customer satisfaction. Show more Show less

We are seeking a skilled Data Analytics professional who has a strong foundation in data analytics, experience working with large datasets, and expertise in analyzing operational performance and business metrics. Desire Skills & Experience Any Graduate/ Post-Graduate who holds experience into data analytics domain. 6+ years of experience in data analysis, preferably within a BPM, or voice process environment. Proven experience in analyzing operational metrics. Proficiency in data analytics tools and platforms such as SQL , Excel . Experience with scientific analytics tools like Python , R , or SAS for statistical analysis and model development. Competent with data visualization tools such as Tableau or Power BI . Knowledge of statistical techniques, including regression analysis, hypothesis testing, clustering, and machine learning. Strong analytical thinking and problem-solving skills. Excellent organizational skills, attention to detail, and ability to manage multiple tasks simultaneously. Show more Show less

Roles and Responsibilities : Analyze category performance across sales channels (D2C, marketplaces, offline). Track KPIs like revenue, ASP, margin, sell-through, stock cover, and inventory turns. Conduct pricing, discount, and profitability analysis at SKU and category levels. Identify top-performing or underperforming products and uncover performance drivers. Build dashboards and automated reports for category health and inventory planning. Collaborate with marketing, SCM, and category teams to inform business decisions. Perform trend, seasonality, and cohort analysis to improve demand forecasting. Use customer behavior data (views, clicks, conversions) to support assortment planning. Automate reporting workflows and optimize SQL/Python pipelines. Support new product launches with benchmarks and success prediction models. Skills & Qualifications : 0–2 years of experience in a data analytics role, preferably in E- commerce or Retail. Proficiency in MySQL: writing complex queries, joins, window functions. Advanced Excel/Google Sheets: pivot tables, dynamic dashboards, conditional formatting. Experience in Python: Pandas, automation scripts, statsmodels/scikit- learn. Comfort with data visualization: Power BI / Tableau / Looker Studio. Understanding of product lifecycle, inventory metrics, pricing levers, and customer insights. Strong foundation in statistics: descriptive stats, A/B testing, forecasting models. Excellent problem-solving, data storytelling, and cross-functional collaboration skills. Preferred / Bonus Skills : Experience with Shopify, Magento, or other e-commerce platforms. Familiarity with Google Analytics 4 (GA4). Knowledge of merchandising or visual analytics. Exposure to machine learning (e.g., clustering, success prediction). Experience with VBA or Google Apps Script for reporting automation. Show more Show less

Company Description Dawn Digital Studio is a leading 3D architectural visualization company based in Delhi, India. The studio specializes in creating stunning 3D visualizations and architectural walkthroughs for various sectors using cutting-edge techniques. With a team of creative professionals, Dawn Digital offers comprehensive solutions to clients worldwide. Role Description This is a full-time on-site role for a 3D Architectural Visualizer at Dawn Digital Pvt. Ltd in Delhi, India. The role involves creating visualizations, graphics, graphic design, lighting, and drawing for architectural projects on a daily basis. Qualifications Visualization and Graphics skills Graphic Design expertise Proficiency in Lighting techniques Drawing capabilities Strong attention to detail Excellent communication and teamwork skills Proficiency in 3D modeling software such as AutoCAD, SketchUp, or 3ds Max Degree in Architecture, Design, or related field is a plus Show more Show less

Role: Senior Delivery Lead Location: India – Mumbai | Pune Job Summary The Senior Delivery Lead is a pivotal role responsible for driving client satisfaction, revenue growth, and operational excellence. This individual will serve as a trusted advisor to the client, providing strategic guidance while overseeing the successful delivery of complex data and analytics projects. Key Responsibilities Client Relationship Management: Build and maintain strong, strategic partnerships with clients. Proactively identify client needs, develop tailored solutions, and exceed client expectations. Serve as the primary point of contact for client escalations and issues. Consulting: Provide expert guidance and solutions to address complex business challenges through data-driven insights. Develop and execute strategic roadmaps aligned with client objectives. Client Context Alignment: Capture and effectively communicate client context across eClerx teams to ensure alignment between client needs and eClerx objectives. Solution Design: Lead the conceptualization and development of data-driven solutions in areas such as marketing, customer service, and supply chain. Translate business requirements into actionable solution blueprints, considering data availability, technical feasibility, and business impact. Delivery Oversight: Lead delivery teams to ensure successful project execution, quality, and adherence to timelines. Business Development: Partner with sales and account team to drive revenue growth, develop and delvier compelling proposals. Expand the client base and increase account penetration. Cross-Functional Collaboration: Foster strong collaboration with cross-functional teams to deliver comprehensive solutions. Team Leadership: Provide strategic leadership to a hybrid team of data scientists and analysts. Hire, develop, and retain top talent. Ensure team alignment with organizational goals. Qualifications and Experience Advanced degree (MBA, MS in Data Science, Statistics, or related field) with 10+ years of relevant experience Excellent communication and presentation skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Demonstrated ability to build and maintain strong relationships at the executive level within the client organization. Strong problem-solving and analytical skills to address complex business challenges. Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions. Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Experience managing and collaborating with remote teams. Proven leadership and people management skills with a focus on developing and retaining talent. Proven negotiation skills to build consensus and drive successful outcomes. Demonstrated commercial acumen and ability to estimate project costs and develop pricing models. Proven experience in managing diverse client needs and delivering complex analytics solutions across various industries, with a preference for experience in the technology sector. Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives. Proven ability to extract meaningful insights from complex data sets and communicate findings effectively to both technical and non-technical audiences. Proven experience in applying agile methodologies (such as Scrum) and proficiency in project management tools (e.g., Jira, Asana, GitHub). Proficiency in SQL, Python, and R programming languages. Experience with data visualization tools such as Power BI and Tableau . Proficiency in applying problem-solving frameworks (such as root cause analysis, Six Sigma, or Design Thinking) to address complex business challenges. Show more Show less

Company Description: AGA Interakson Services Pvt. Ltd. (Rx from AI) is a stealth-mode startup in Noida. We are on a mission to build innovative solutions and make a significant impact across sectors. We are looking for a talented SAP Operator in Finance & Accounts domain to join our team. Role Description: You will be enabled for sharepoint with limited access to the planning file for ODA (Purchase Order) release, will be enabled for SAP S4P with “creator profile” and will have to perform the following activities: Creation/modification/viewing of RDAs (purchase request) RDA Technical Release Creating/editing/viewing ODAs Technical release of the ODA Display of the Performance Acquisition Module (MAP) Viewing Goods Receipts Visualization of material master data Visualization of supply records Viewing supplier records This is a full-time work from office role. Technical-professional knowledge/ Skills: Knowledge of passive cycle and the active cycle processes Ability to manage and analyze data and reporting Knowledge of Office (Word, Excel, Power Point) Preferred experience in international trade (export and import) Soft skills: Ethics of personal responsibility Organization and planning Collaborative and open approach to work with adaptability, resilience and rapid and independent response Analytical and management skills Problem solving orientation Ability to establish open and competent relationships with colleagues. Ability to motivate and positively influence other colleagues Flexibility and ability to work in multicultural teams Education & Experience : Graduate with ~3 years of work experience in SAP environment. Time Zone: As per Central European Time Zone Job Types: Full-time, Permanent Schedule: Fixed shift Monday to Friday Ability to commute/relocate: Noida Sector 37, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Location: Noida Sector 37, Noida, Uttar Pradesh (Preferred) Work Location: In person Expected Start Date: 01/07/2025

About Eurofins: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and the environment safer, healthier and more sustainable. From the food you eat to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is a global leader in food, environmental, pharmaceutical and cosmetic product testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a network of over 1,000 independent companies in 54 countries, operating 900 laboratories. Performing over 450 million tests every year, Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialised clinical diagnostics testing. Eurofins is one of the fastest growing listed European companies with a listing on the French stock exchange since 1997. In FY 2021, Eurofins achieved a record revenue of over EUR 6.7 billion. Eurofins IT Solutions India Pvt Ltd (EITSI) is a fully owned subsidiary of Eurofins and functions as a Global Software Delivery Center exclusively catering to Eurofins Global IT business needs. The code shipped out of EITSI impacts the global network of Eurofins labs and services. The primary focus at EITSI is to develop the next generation LIMS (Lab Information Management system), Customer portals, e-commerce solutions, ERP/CRM system, Mobile Apps & other B2B platforms for various Eurofins Laboratories and businesses. Young and dynamic, we have a rich culture and we offer fulfilling careers. Job Description Position Overview: IT Application Monitoring and Observability team is global Eurofins team that provides knowledge on operation of IT Systems and IT Infrastructure. Over 61K+ Eurofins employees rely on the services that we are providing to conduct their daily operations. From basic application availability monitoring, through complex process analysis ending on advanced statical and ML/AI methods to proactively counteract any unexpected events that can negatively impact the business. Handling over 6TB of data daily our goals is to collect, process, and visualize data to provide knowledge in easy and understandable way to the end users. As a team member you will be responsible for handling operational activities and supporting other colleagues in maintaining our data pipelines. You will be also leading operational standups and manage ticket execution hence experience in people management would be an additional asset. Primary Skills (mandatory) Linux administration. Containerization concepts with Docker. Familiarity with Elastic stack (Elasticsearch, beats, Logstash). Secondary Skills (nice to have) Familiarity with Grafana tool is an advantage. Familiarity with data visualization and data story telling techniques is an advantage. People management and experience in ticket execution tracking. Additional experience with networking and security concepts would make your application to stand out. EXPERIENCE REQUIRED Minimum 4- 8 years of IT Professional Experience Personal profile Very good English communication skills (concise writing) Very good interpersonal relation skills. Able to engage and influence others to obtain enough follow up and attention. Drive continuous improvement efforts. Ability to work in a complex international environment. Eager to learn and continuously develop personal and technical capabilities. Consultant mindset. Qualifications Qualifications Bachelor’s degree in computer science, Information Technology, or a related field Languages: Fluent English Show more Show less

About Rapido We are India’s largest bike-taxi platform, steadily venturing into Auto, Delivery, Rental, and more. Currently, present in ~100 cities, we are growing close to ~50% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 40 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture! Job Summary: As a Senior Data Scientist your will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product level metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets.A Senior Data Scientist should have an experienced of solving complex data analysis and machine learning problems in a real-world product setting. The role requires someone who is very comfortable working across teams, good at communicating and able to drive analysis and manage multiple streams. Your role would also require you to mentor junior Data Scientists in their learning and development. You will be part of a dynamic team and regularly work with colleagues from other verticals to co-ordinate and collaborate within an increasingly interconnected Data Science team here @ Rapido. Job Responsibilities: ● Translating business requirements into analytical solutions ● Do hands-on data analysis, using statistical techniques ● Pre-processing of structured and unstructured data ● Should be able to steer direction related to improving data collection for analytical systems ● Should be proficient in model development, validation and then roll-out ● Understand business challenges and goals to formulate the approach for data analysis and model creation ● Tune the model(s) to improve results provided over time ● Create an analytics roadmap for the project ● Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output ● Work in highly collaborative teams that strive to build quality systems and provide business value ● Articulate insights and story telling for the senior management ● Mentor Junior Data team members in their learning and development Job Requirements: ● Work experience - 4 years as a Data Scientist or equivalent position and overall 6 years ● Masters or Ph.D. in Statistics, Math, CS, Econ, Physics, Engineering or related scientific disciplines; ● Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources ● Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. ● Worked in a big data environment before alongside a data engineering team (and data visualization team, data and business analysts) ● Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques ● Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modeling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors ● Experience in SQL is must ● Technologies - Proficiency in Python (must have) and any other prog. language; Specific libraries may include - Scikit-learn, pandas, TensorFlow, Keras, Torch, Caffe, Theano, etc; ● Experience of Pyspark is a plus ● Experience with A/B Testing framework ● Experience in managing a small team of data scientists is a plus What’s there for you? ● If you are excited to solve Complex Business problems at scale where you will cater to 10 million rides in a day across 100 cities, no better place to be. ● You can go swimming in our 100s of TBs of data on self-managed databases ● Opportunity to contribute in solving challenging problems like supply-demand matching, demand forecasting, ROI optimization, Segmentation, Causal Inference and many more. ● We have a very flat hierarchy and collaboration is our success mantra ● Chance to work with a lean team of highly talented and motivated people across all levels ● You will be working with cross functional teams and have a great learning curve and business exposure. Show more Show less

JOB DESCRIPTION POSITION DETAILS JOB TITLE :ASP.NET Developer EXPERIENCE REQUIRED :7 - 8 Years Location :Trivandrum Responsibilities: Build and maintain application functionality for new and existing systems using the .Net toolset with a SQL Server back end. Develop, maintain, and enhance web applications using ASP.NET MVC, and ASP.NET Core MVC frameworks. Integrate web applications with external systems and services using Web services, REST Web APIs, XML, and JSON parsing. Participate in all aspects of the software development lifecycle (design, implementation, testing, documentation, and deployment). Work with business systems analysts and/or project managers to plan and produce deliverables in a very short time frame. With minimal support, must be able to take an idea from creation through construction and launch into production with ongoing support and enhancements. Maintain high standard of quality for code, documentation, and other deliverables. Must be able to author unit test code and be familiar with mock/fake object testing. Adhere to industry best practices and contribute to internal coding standards. Provide estimates for assigned development tasks. Learn and evaluate new technologies and tools as needed. Participate in peer code reviews. Skills & Requirements: Utilize established development tools, guidelines and conventions including but not limited to ASP.NET, ASP.NET Core, Entity Framework/Entity Framework Core, SQL Server, HTML, CSS, JavaScript, jQuery and C# Exposure to MVC Framework Knowledge of web services, REST WEB APIs, XML, and JSON parsing. Knowledge of Microsoft Reports for reporting and data visualization. Enhance existing systems by analyzing business objectives, preparing an action plan and identifying areas for modification and improvement Familiarity with version control tools like SVN, GIT, GitHub, Gitlab, and Azure Repos. Strong problem-solving skills and a proactive attitude towards troubleshooting and issue resolution. Excellent communication Investigate and develop skills in new technologies Should have strong technical knowledge. Create technical specifications. Must be a Graduate in Computer Science or any other related field. Role Overview & Responsibilities While coding is a core part of this role, we are also looking for someone who can contribute beyond writing code. Client Communication – Independently manage client interactions, draft professional emails, and actively participate in discussions/calls. Requirement Analysis & Estimation – Break down client requirements into tasks and provide realistic time estimates. Documentation – Create SRS (Software Requirement Specification), solution designs, and architecture diagrams covering modules, data flow, key technical decisions, and risk management. Agile Methodologies – Work within Agile and Scrum frameworks. Technical Expertise –Must have done at least 3-4 multi domain intermediate to advanced projects from scratch (not beginner level nor product-based projects). Deployment & Migration – Assist in application migration and ensure seamless production deployment. Hiring Support – Participate in technical interviews when required. Team Collaboration & Flexibility – Take on additional tasks and work beyond regular hours when necessary. This role requires technical proficiency, independent client handling, and proactive project management with minimal supervision. The key technical skills and areas of expertise required: .NET Framework / .NET Core OOP with C# MVC LINQ Entity Framework Web API SQL Server HTML, CSS, JQuery Show more Show less

Job Description Summary About the Role: We are looking for a passionate and knowledgeable Data Analytics Trainer who can effectively train and mentor aspiring professionals in the field of data analytics. The ideal candidate should not only have hands-on experience with analytical tools and techniques but also possess strong communication skills to deliver complex concepts in an easy-to-understand manner. Key Responsibilities Design and deliver comprehensive training modules on data analysis tools and concepts (Excel, SQL, Python, Power BI/Tableau, etc.) Conduct training sessions and workshops Simplify technical concepts and provide real-world applications to learners Prepare training materials, case studies, assignments, and assessments Stay updated with the latest trends and tools in the data analytics domain Collaborate with internal teams to ensure smooth execution of training programs Qualifications Proven experience (3–7 years) as a Data Analyst or Data Analytics Trainer Proficiency in tools like Excel, SQL, Python, Power BI/Tableau Strong understanding of data visualization, statistical techniques, and business intelligence Excellent communication, presentation, and interpersonal skills Passion for teaching and mentoring Skills: data analyst,data analysis,data analytics,power bi,excel,python,interpersonal skills,business intelligence,sql,data visualization,tableau,presentation,statistical techniques,training,communication Show more Show less

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of Lead AI Engineer to Coupa: XXXX What you will do: Collaborate closely with product managers, engineers, and cross-functional stakeholders to define metrics and outcomes for AI-driven product features and capabilities Design, develop, and deploy sophisticated AI models, agents, and intelligent assistants leveraging Large Language Models (LLMs), including both language processing and advanced reasoning tasks Engineer robust, scalable, and reliable prompt-based solutions to effectively integrate LLMs into production-grade SaaS applications Implement experimentation frameworks, conduct rigorous evaluations, and iterate rapidly based on user feedback and data-driven insights Establish automated monitoring and quality assurance mechanisms for continuous evaluation and enhancement of model performance Provide strategic vision and technical leadership to navigate evolving trends and emerging methodologies within AI, particularly focusing on leveraging generative AI capabilities What you will bring to Coupa: Strong analytical and problem-solving skills focused on creating impactful AI-driven product experiences Proven expertise in Python for developing, deploying, and optimizing complex AI models and pipelines Extensive experience with Large Language Models (e.g., GPT-4o, Claude, LLaMA), including prompt engineering, fine-tuning, and evaluating performance Solid understanding of various machine learning paradigms (supervised, unsupervised, reinforcement learning) and practical experience deploying these methods at scale Deep knowledge of reasoning frameworks, agent architectures, retrieval-augmented generation (RAG), and related AI techniques Excellent proficiency in modern data architectures and experience with distributed data frameworks (e.g., Spark, Hadoop) Familiarity with cloud infrastructure (AWS, Azure, GCP) for deploying scalable AI/ML services Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders A strong drive to stay abreast of cutting-edge AI research and proactively integrate relevant innovations into production systems 5+ years of experience building, deploying, and managing AI/ML models in production environments Educational background in Computer Science, Data Science, Statistics, Mathematics, or related fields, or equivalent professional experience Experience with modern ML and AI development tools (e.g., Hugging Face, LangChain, PyTorch, TensorFlow) and visualization platforms (e.g., Streamlit, D3, Plotly, Matplotlib) Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy. Show more Show less

Roles & Responsibilities Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Job Title : Technical Architect - Data Governance & MDM Experience: 15+ years Location: Mumbai/Pune/Bangalore Role Overview: The Technical Architect specializing in Data Governance and Master Data Management (MDM) designs, implements, and optimizes enterprise data solutions. The jobholder has expertise in tools like Collibra, Informatica, InfoSphere, Reltio, and other MDM platforms, ensuring data quality, compliance, and governance across the organization. Responsibilities: Architect and optimize strategies for data quality, metadata management, and data stewardship. Design and implement data governance frameworks and MDM solutions using tools like Collibra, Informatica, InfoSphere, and Reltio. Develop strategies for data quality, metadata management, and data stewardship. Collaborate with cross-functional teams to integrate MDM solutions with existing systems. Establish best practices for data governance, security, and compliance. Monitor and troubleshoot MDM environments for performance and reliability. Provide technical leadership and guidance to data teams. Stay updated on advancements in data governance and MDM technologies. Key Technical Skills. 10+ years of experience working on DG/MDM projects Strong on Data Governance concepts Hands-on different DG tools/services Hands-on Reference Data, Taxonomy Strong understanding of Data Governance, Data Quality, Data Profiling, Data Standards, Regulations, Security Match and Merge strategy Design and implement the MDM Architecture and Data Models Usage of Spark capabilities Statistics to deduce meanings from vast enterprise level data Different data visualization means of analyzing huge data sets Good to have knowledge of Python/R/Scala languages Experience on DG on-premise and on-cloud Understanding of MDM, Customer, Product, Vendor Domains and related artifacts Experience of working on proposals, customer workshops, assessments etc is preferred Must have good communication and presentation skills Technology Stack - Collibra, IBM MDM, Reltio, Infosphere Eligibility Criteria 15+ years of total experience. Bachelor’s degree in Computer Science, Data Management, or a related field. Proven experience as a Technical Architect in Data Governance and MDM. Certifications in relevant MDM tools (e.g., Collibra Data Governance, Informatica / InfoSphere / Reltio MDM, ). Experience with cloud platforms like AWS, Azure, or GCP. Proficiency in tools like Collibra, Informatica, InfoSphere, Reltio, and similar platforms. Strong understanding of data modeling, ETL/ELT processes, and cloud integration. Interested candidates can apply directly. Alternatively, you can also send your resume to ansari.m@atos.net Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

POSITION TITLE: Monitoring, Evaluation and Learning (MEL) Manager, EpiC India REPORTS TO: Team Leaders/Sr. Technical Advisor-HIV, EpiC India LOCATION: New Delhi, India DURATION: Till December 2025 (extendable subject to funding availability) About FHI 360 FHI 360 is a nonprofit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. FHI 360’s technical areas encompass a range of public health priorities, including HIV and AIDS; family planning and reproductive health; maternal and child health; health systems strengthening; integrated health and development; and infectious diseases, including tuberculosis and malaria, and more recently COVID-19 and Mpox. For more information, visit: https://www.fhi360.org. Background (EpiC Project) Meeting Targets and Achieving Epidemic Control (EpiC) is a global project funded by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) that provides strategic technical assistance and direct service delivery to achieve HIV epidemic control among at-risk populations and strengthen global health security. EpiC has been operational in India since 2021 and had been focusing on organizational capacity strengthening of community-based organizations (CBOs) working with vulnerable and at-risk populations in the states of Maharashtra and Telangana, and national level networks. Additionally, EpiC has been supporting lifesaving activities for people living with HIV (PLHIV) by addressing non-communicable disease (NCD) screening and management among adult/aging PLHIV clients; and enhancing engagement of young people living with HIV (YLHIV) for index testing and promotion of early initiation and retention on treatment, and responsible living through U=U messaging. In the light of the Executive Order issued by the Trump administration in January 2025, the EpiC India workplan for fiscal year 2025 is being revised to support implementation of lifesaving activities that align to the guidance issued by The Bureau of Global Health Security and Diplomacy (GHSD). In the PEPFAR supported geography of Maharashtra, EpiC is to: Accelerate early HIV case finding among hidden and unreached at-risk populations in community and facility settings to meet the 1st 95 goals. Support lifesaving care and treatment linkages through early linkage and retention on treatment, viral suppression to meet the 2nd and 3rd 95 goals. Address co-morbidities including mitigation of advanced HIV disease (AHD), tuberculosis (TB), opportunistic infections (OIs) and NCDs among adult PLHIV. Job Summary FHI 360 is seeking applications from qualified and experienced candidates to fill a new position of Monitoring, Evaluation and Learning (MEL) Manager for EpiC India. The incumbent is to be based at the FHI 360 Country Office in New Delhi and will be responsible for all strategic information (SI) responsibilities related to the project, including all monitoring, evaluation, analytics, reporting and documentation of performance and results. The MEL Manager will work closely with the project leadership, state and district level program and SI team members of EpiC and sub-grantee partners, to enhance or develop systems across sites and technical/thematic areas to support monitoring of service delivery and performance in real-time to improve service quality and impact and to meet reporting requirements. S/he will work across technical teams to provide consistent guidance and training on appropriate results frameworks and knowledge management practices for the project and its strategies. The MEL Manager will systematically strengthen the alignment of program strategies and activities to lessons learned from program data and client experiences. Job Responsibilities: Set-up / enhance the MEL and performance reporting system for the EpiC project, which will include working with the program team and sub-grantees to collect, analyze, monitor and report on performance of HIV services and activities. Develop tools and formats for data collection, analysis, interpretation and reporting in line with USAID’s latest MER indicators. Support the program team in defining the M&E roles of sub-grantees, reporting frequency, review mechanisms and set-up standardized monitoring mechanisms. Routinely support capacity building of EpiC and sub-grantee staff on M&E and ensure that the teams are oriented on the latest MER indicators and NACO/SACS M&E guidance and confidentiality norms. Review M&E data and reports from the field and ensure their accuracy and appropriateness by analyzing and interpreting the data, and support in data triangulation, visualization to track and monitor progress against targets. Facilitate routine quality checks and validation of sub-grantee/s data and provide feedback to the field staff based on the quality checks and validation exercise. Ensure adherence to quarterly data quality audits as required by donor/EpiC HQ. Ensure that supporting documentation is maintained for all data that is reported to FHI 360 HQ, USAID/PEPFAR, NACO, SACS and DAPCU and entered timely in DATIM. Support the EpiC program team in compilation of the monthly, quarterly and semi-annual progress reports and Plan of Action for Results Tracking (POART) slides and other ad hoc reporting requests. Liaise with relevant technical advisers and counterparts responsible for strategic information (SI) and M&E at EpiC HQ, and support coordination for country-level assistance as needed. Strengthen knowledge management deliverables for the project including documentation of case studies, success stories and other reports. Minimum Qualifications: Master’s degree or higher in epidemiology, M&E, demography, biostatistics, statistics, analytics, public health or other relevant discipline. Minimum 8 year experience on designing, establishing, and managing M&E systems, ensuring data quality, and analyzing data to support performance improvement of programs. Experience of working on M&E system for HIV programs is essential. Previous experience working with USAID or PEPFAR supported program is preferable. Demonstrated expertise in data analysis, managing online databases to ensure easy access to data and data reports, experience in Tableau or Power BI preferred. Demonstrated ability to perform complex data analytics utilizing Microsoft Excel, STATA, Epi Info; and/or software. Demonstrated ability to perform complex data analyses and make recommendations based on findings. Demonstrated working knowledge of the Indian health and social service information systems and M&E processes as it relates to data collection for performance-based reporting. Fluency in interpersonal, writing and oral presentation skills in English. The position will be based in New Delhi, India and work out of the FHI 360 Country office and is open for Indian national candidates only. This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. Suitably qualified candidates openly living with HIV are also actively encouraged to apply. Compensation: Compensation levels at FHI 360 are equivalent to market rates within the development sector. However, offers shall be based on salary history, relevant experience, and qualifications. Please send your resumes to hrindia@fhi360.org. It is necessary to mention the post title in the subject line while applying. Only short-listed candidates will be notified. No calls/ emails will be entertained. This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law. Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks. FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. FHI 360 will never ask you for your career site username or password, and we will never request money, goods or services during the application, recruitment or employment process. If you have questions or concerns about correspondence from us, please email CareerCenterSupport@fhi360.org. FHI 360 fosters the strength and health of its workforce through a competitive benefits package, professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself. Please click here to continue searching FHI 360's Career Portal. Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less