Project Visualization Jobs in Bengaluru

Senior Web Application Developer - Front End Developer Location: Bengaluru Job Type: Full-time Responsibilities As a Senior Web Application Developer, you will play a pivotal role in engineering cutting-edge frontend frameworks, platforms, visualizations, and dashboards to deliver a fluid and seamless user experience. Core Development Engineer advanced frontend frameworks and platforms for visualizing complex data, ensuring a top-notch user experience. Collaboration & Visualization Work closely with backend engineering teams to extend product value and virtualize thousands of moving assets as creative UI/UX elements. Build applications to visualize real-time complex data patterns and ensure world-class interfaces and APIs. Design & Architecture Architect modular, high-performance applications and frameworks. Ensure stability and performance through test-driven development, integration, and stress testing. Project Ownership & Stakeholder Interaction Lead projects aimed at enhancing team efficiency and driving modernization. Interface directly with project and product stakeholders, facilitating UAT and incorporating feedback. Requirements Education: Bachelor s degree or higher in Computer Science, Engineering, or equivalent experience. Experience: Minimum 5 years of hands-on experience in frontend development. Technical Skills: Proficiency in JavaScript (5+ years), React.js (3+ years), HTML, CSS, and D3.js. Experience with modern build systems (Webpack, Babel, etc.). Communication: Excellent written and verbal communication skills with a fast execution mindset. Bonus Skills Experience with Google Maps and other cloud APIs. Understanding of SQL database design and modeling. At Intellicar, we encourage a culture of continuous learning and skill development. You'll have opportunities to grow as part of a collaborative team, work with cutting-edge IoT technologies, and contribute to impactful projects in the EV and IoT industry. Leadership fosters inclusivity and respect, creating an atmosphere where every voice is heard. Qualification : Bachelors degree or higher in Computer Science, Engineering, or equivalent experience

Interior Architect Location: Bengaluru Qualification: B.Tech (Civil) / B.Arch Experience: 6+ years Job Description We are seeking a creative and technically proficient Interior Architect to lead the design and execution of interior architecture projects across commercial, residential, or institutional spaces. The ideal candidate should have strong spatial planning skills, a keen eye for aesthetics, and a deep understanding of materials, finishes, and construction detailing. Key Responsibilities Lead the end-to-end design and execution of interior architecture projects from concept to completion. Create design layouts, 3D visualizations, working drawings, and detailed specifications. Coordinate with clients, consultants, vendors, and execution teams to translate design intent into reality. Select materials, finishes, furnishings, and lighting aligned with design aesthetics and budget. Ensure all designs comply with building codes, regulations, and client requirements. Conduct site visits to oversee implementation, resolve issues, and maintain design integrity. Collaborate with MEP, structural, and civil teams to integrate design solutions. Prepare and manage project timelines, BOQs, and documentation. Required Skills & Experience Bachelor's degree in Architecture (B.Arch) or Engineering (B.Tech Civil). Minimum 6 years of hands-on experience in interior architecture and project execution. Proficient in design tools such as AutoCAD, SketchUp, Revit, 3ds Max, V-Ray, and Adobe Creative Suite. Strong understanding of materials, finishes, detailing, and interior construction methods. Excellent communication, presentation, and client-facing skills. Ability to manage multiple projects and deliver within deadlines. Qualification : Bachelor's degree in Architecture (B.Arch) or Engineering (B.Tech Civil)

3D Visualizer Design & Development Location: Bengaluru Employment Type: Full-Time About the Role: We are looking for a talented 3D Visualizer with 4 5 years of hands-on experience in interior fit-out projects. The ideal candidate will have expert proficiency in SketchUp and V-Ray, along with a strong architectural sensibility. You will play a key role in transforming conceptual designs into high-quality photorealistic renders, working closely with architects, interior designers, and project managers to ensure visualizations accurately represent materiality, lighting, and spatial intent. Familiarity with Lumion, Revit, Rhino, and AI visualization tools is a strong plus. Key Responsibilities: 3D Modelling & Rendering Create detailed 3D models for interior fit-out schemes based on design team inputs. Produce photorealistic still images and animations, ensuring accurate textures, materials, lighting, and spatial representation aligned with design intent. Concept Development Support Collaborate with design teams to refine layouts, furniture arrangements, and material palettes. Interpret architectural drawings, elevations, and finish schedules to build precise digital environments. Presentation & Communication Prepare engaging presentation materials including boards, mood boards, and walkthrough animations for client presentations. Communicate technical feedback and iteration requests effectively with designers and project stakeholders. Quality Control & Optimization Ensure all renders meet high standards of resolution, realism, and alignment with design briefs. Optimize 3D scenes to reduce render times without compromising visual quality. Research & Innovation Stay updated on the latest rendering techniques, plugins, and software updates. Experiment with new workflows and tools to continuously improve visualization quality and efficiency. Technical Skills: Primary Tools: SketchUp (advanced modeling, dynamic components) V-Ray for SketchUp (materials, lighting, render settings) Supporting Software (Advantageous): Adobe Photoshop / Lightroom (post-production) 3ds Max or Rhino (for complex geometry or alternative workflows) AI tools, Enscape, Lumion, Revit Architectural Knowledge: Strong understanding of architectural principles, spatial planning, and building systems. Ability to read and interpret floor plans, sections, and finish schedules. Soft Skills: Excellent visual communication with strong attention to detail. Proactive problem-solver with a commitment to continuous improvement. Strong time management to handle multiple projects and deadlines effectively. Collaborative mindset to work seamlessly with architects, designers, and project managers. Preferred Qualifications: Bachelor s degree in Architecture, Interior Design, 3D Animation, or a related field. 4 5 years of professional experience specializing in interior fit-out or architectural visualization. Proven portfolio demonstrating expertise in SketchUp and V-Ray interior visualizations. Qualification : Bachelors degree in Architecture, Interior Design, 3D Animation, or a related field

Position: RTL Design Engineer Location: Bangalore Education: Engineering Degree in Electronics & Communication (E&C) Experience: 3 to 6 years Job Overview We are seeking a skilled RTL Design Engineer to own the full lifecycle of FPGA design projects from understanding customer requirements to final delivery. You will define DSP, system, and board architecture, partition algorithms between FPGA and software, and lead design, simulation, and verification activities. This role requires hands-on expertise with FPGA technologies, strong problem-solving skills, and the ability to engage closely with customers and production teams. Key Responsibilities Interpret customer requirements, specifications, and tender documents to define system architecture. Take end-to-end ownership of projects including risk assessment, mitigation planning, schedule tracking, and customer discussions. Partition signal processing algorithms for FPGA and software implementation; identify key building blocks. Provide estimates for FPGA resources, computational and memory bandwidth needs. Develop detailed module-level designs including coding, simulation, and peer reviews. Apply design, verification, and validation methodologies rigorously. Prepare and maintain comprehensive project documentation, including design and analysis reports. Support customers during integration and testing phases on-site. Assist production teams with technical support. Define RTL architecture and perform HDL coding, simulation, implementation, board testing, and debugging. Professional Skills & Technical Expertise Proficient in VHDL coding; experience with Verilog or SystemVerilog is a plus. Expertise with Xilinx FPGA devices and associated synthesis and implementation tools. Strong experience in functional simulation and hardware logic design/debugging. Familiarity with FPGA synthesis and place & route (PAR) tools. Experience implementing DSP algorithms in FPGA environments, especially for Radar and Electronic Warfare applications. Skilled in modeling algorithms using MATLAB/Octave, generating test vectors, and data visualization. Working knowledge of interfacing with ADCs and DACs, and analyzing their performance. Good command of configuration and version control tools such as SVN. Excellent communication and presentation skills for technical discussions and customer interactions. What You ll Bring Strong analytical mindset and problem-solving abilities. Ability to work independently and manage multiple tasks effectively. Detail-oriented with a commitment to high-quality design and documentation. Collaborative attitude to work across teams and customer sites. Qualification : Engineering Degree in Electronics & Communication (E&C)

Position: Draftsman Design & Build Location: Bangalore Experience: 3 5 Years (Preferably in Commercial Interior Fit-Outs Design & Build / General Contracting) Role Overview: We are looking for a detail-oriented and skilled Draftsman with experience in commercial interior design and build projects. The ideal candidate will be responsible for preparing accurate layout plans, detailed construction drawings, and coordinating interior drawings with structural and service teams. Proficiency in AutoCAD and a strong understanding of interior design principles are essential. Key Responsibilities: Conduct onsite measurements and prepare accurate "as-built" layout plans. Create detailed furniture layout presentation drawings using AutoCAD. Prepare comprehensive drawings including plans, sections, elevations, and built drawings with design details. Coordinate and integrate architectural and engineering inputs into final drawings. Align interior drawings with structural and MEP (Mechanical, Electrical, Plumbing) service drawings. Develop demolition and construction layouts, including all types of partitions. Prepare reflected ceiling plans (RCP) with detailed light sections. Generate detailed drawings for loose furniture as reflected in 3D views. Break larger projects into actionable tasks with realistic timeframes. Maintain clear communication with architects, engineers, and design teams throughout the project lifecycle. Qualifications & Skills Required: Diploma in Architecture or Interior Design, or B.Sc. in Engineering. Degree from a technical college will also be considered. 3 5 years of relevant experience in commercial interior design & build projects. Proficiency in AutoCAD is a must. Strong coordination and visualization skills. Good interpersonal and communication abilities. Manual drawing skills are a plus, though not mandatory. Ability to handle feedback constructively and maintain a positive attitude. Capable of working both independently and collaboratively within a team. Qualification : Diploma in Architecture or Interior Design, or B.Sc. in Engineering.

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Lead Data Scientist Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Entertainment / Mobile Gaming About Us We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at massive scale. Our portfolio includes evergreen hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure that fuels rapid growth. Position Summary As a Lead Data Scientist in our Central Analytics team, you will play a critical role in shaping data-driven strategies that enhance player experience and business performance. This fast-paced role offers abundant opportunities to work alongside product leaders and game teams, transforming complex data into actionable insights that drive user acquisition, engagement, and monetization. Key Responsibilities Collaborate closely with product leaders to provide data-driven advisory on strategic decisions. Partner with game development teams to analyze gameplay data and generate actionable insights that improve user acquisition, engagement, and monetization. Perform advanced exploratory data analyses and ad-hoc reporting to identify trends, issues, and opportunities across our game portfolio. Design, execute, and lead data research projects, delivering practical recommendations based on rigorous statistical analyses. Drive continuous improvement in game performance through innovative machine learning models and analytics techniques. Requirements Bachelor s/Master s/PhD degree in Computer Science, Statistics, or a related field. Proven experience with machine learning, statistical modeling, and data science projects. Hands-on proficiency in Python and/or Spark for data manipulation, visualization, and building ML models. Strong SQL skills with experience querying large, complex datasets from data lakes or warehouses. Demonstrated ability to lead research projects and translate findings into actionable business recommendations. Excellent interpersonal skills and a collaborative approach to working with cross-functional teams. Knowledge of Deep Learning frameworks and techniques is highly desirable. Work with a top-tier gaming company known for its innovative and data-driven culture. Influence millions of users worldwide through impactful analytics. Collaborate with talented teams in a high-growth, dynamic environment. Access to cutting-edge tools and technologies for data science and machine learning. Competitive compensation and career growth opportunities. Qualification : Bachelors/Masters/PhD degree in Computer Science, Statistics, or a related field.

Job Title: Customer Success Executive E-commerce Insights (SaaS | Bangalore) Location: Bangalore, India Experience: 2 5 Years Industry: E-commerce | SaaS | Data Analytics | Customer Success About the Role As part of our Bangalore-based customer success team, you ll work with leading global brands and partners, ensuring seamless service delivery and helping clients unlock the full potential of their e-commerce data. Key Responsibilities Client Ownership & Engagement: Manage a portfolio of global e-commerce clients, acting as the single point of contact for project execution, performance tracking, and customer satisfaction. Cross-functional Coordination: Collaborate with internal teams across product, operations, analytics, and sales to ensure project feasibility, on-time delivery, and client success. Data Analysis & Reporting: Use brand data to track performance metrics, identify business opportunities, and provide actionable insights through regular reporting and dashboards. Insight-Driven Strategy: Translate e-commerce data into strategic recommendations that drive measurable client value and product adoption. Presentation & Communication: Create compelling reports, visualizations, and client presentations for business reviews and stakeholder discussions. Issue Resolution & Project Management: Address client concerns, manage scope adherence, resolve conflicts, and oversee both BAU and ad-hoc project requests. Mentorship: Support and guide junior team members, fostering skill development and team collaboration. Key Requirements 2 5 years of experience in a customer-facing role within a SaaS or E-commerce organization. Strong understanding of e-commerce operations and analytics. Exceptional presentation and communication skills, both written and verbal. Proven ability to manage KPIs, performance reports, and customer success metrics. Experience in data interpretation, storytelling, and visualization tools (e.g., Power BI, Tableau, Excel). Ability to convert complex data into business recommendations and meaningful conversations. Highly organized, detail-oriented, and customer-focused mindset. Strong ethics, proactive approach, and a team player attitude. At Shopalyst, we re building a global, inclusive workplace that empowers individuals from all backgrounds. We believe diversity fuels innovation and growth. If you re ready to make an impact, even if you don t meet every qualification listed, we encourage you to apply.

Senior Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS pioneer leveraging AI and data to solve complex business challenges in industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our key products include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion platform. We are recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Driving meaningful outcomes. Ownership: Taking responsibility beyond comfort zones with inclusivity. Relentless: Innovating with determination and resilience. About the Role As a Senior Data Scientist, you will work in cross-functional teams delivering AI- and physics-based solutions that optimize operations and support decision-making in heavy-asset industries like Oil & Gas, Power & Utilities, Renewables, and Manufacturing. You will engage with customers, lead solution scoping, design, deployment, and operationalization using Cognite s data platform. What You ll Do Lead design and development of machine learning and physics-based models for industrial problems. Collaborate with data scientists, engineers, solution architects, and project managers to deliver scalable solutions. Conduct workshops and advise customers on solution approaches and pitfalls. Build and deploy dashboards and visualizations for data-driven insights. Mentor junior team members and promote best software practices including testing and documentation. Contribute to production-grade deployments and cloud-native solutions. Stay updated with emerging GenAI technologies and integrate them into customer use cases. Who You Are 5+ years as a Data Scientist, preferably in Oil & Gas, Maintenance, or Manufacturing domains. 1+ years as a domain expert on projects involving customer engagement. Proficient in Python, ML libraries (scikit-learn, Keras), and data visualization tools (PowerBI, Grafana, Tableau, Plotly Dash, Streamlit). Advocate for software best practices: automated testing, documentation, and version control (Git). Experienced contributor to large software projects. Pragmatic with the ability to balance short- and long-term priorities. Effective communicator with strong stakeholder management skills. Experienced mentor and quality assurer for junior colleagues. Cloud experience with serverless functions and production deployments. Proven success working across diverse industries. Eager to explore and apply GenAI developments in practical solutions. Work in a diverse global community with 70+ nationalities and a strong DEI focus. Modern hybrid work environment based in Bengaluru (Rathi Legacy, Hoodi). Flat organizational structure with direct access to decision-makers. Opportunity to collaborate on ambitious projects across industries. Access to ongoing learning and a vibrant internal community (HUB). Make an Impact Cognite is driving the future of industrial data innovation. Join us to help industries become more efficient, sustainable, and digitally transformed. We welcome candidates from all backgrounds apply today to be part of our journey!

Analyst, Market Data Services (NE) Location: Bengaluru, Karnataka Team: Data Management Company: BlackRock Role Overview As a Data Management Analyst at BlackRock, you will focus on processing and assuring the quality of alternative assets data. Your work will support clients by maintaining accurate, comprehensive data on firms, funds, and transactions in the alternative asset industry. You ll collaborate globally to research, curate, and enhance data offerings that power investment decisions. Key Responsibilities Acquire, update, and maintain alternative asset data using internal tools. Conduct in-depth web research on firms, funds, and transaction activities. Update databases with key financial data, statistics, and analysis. Work on data quality projects, process improvements, and workflow optimization. Develop subject matter expertise to enhance client data products. Collaborate with stakeholders across business units to evolve data offerings. Experience & Skills Required Bachelor s degree in Finance, Accounting, Business, or Engineering. At least 6 months relevant experience, with a keen interest in finance and markets. Fluent in English with excellent written and verbal communication skills. Proficient in Microsoft Excel, SharePoint, Office 365. Familiarity with automation and data tools like Power Automate, VBA, Python, or SQL. Knowledge of data visualization tools such as PowerBI, Qlik, or Tableau. Some exposure to project and stakeholder management. Work Model & Benefits Hybrid work model: 4 days in office, 1 day remote (with some flexibility). Strong retirement plans, tuition reimbursement, healthcare, and family support. Flexible Time Off (FTO) to support work-life balance. About BlackRock BlackRock s mission is to help people achieve financial well-being globally. By investing in its employees, BlackRock fosters a supportive and innovative culture to enable growth, inclusion, and impact. Qualification : Bachelors degree in Finance, Accounting, Business, or Engineering

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Business Analyst Associate Location: Bengaluru Experience Required: 8+ years Education: BE/B.Tech/MBA Domain Knowledge: BFSI (Banking, Financial Services, and Insurance) Certifications: Certification in Business Analysis (e.g., CBAP, PMI-PBA) Notice Period: Less than 60 days Job Overview: As a Business Analyst Associate, you will support the analysis and design phases of projects by collaborating with business stakeholders to understand their needs and translate them into actionable solutions. Your role will focus on the pre-initiation, initiation, and design stages, working closely with business and technical teams. You will help validate solutions, support User Acceptance Testing (UAT), and drive change adoption for CLIENT programs and projects. Key Responsibilities: Requirement Elicitation Engage with stakeholders, including business users, management, and subject matter experts, to gather detailed business requirements. Conduct interviews, workshops, focus groups, surveys, and observations to document stakeholder needs. Utilize various elicitation techniques like brainstorming, document analysis, and prototyping to uncover business requirements. Requirement Analysis Analyze and prioritize business requirements to ensure alignment with business objectives and project goals. Break down high-level business and user requirements into functional and non-functional requirements. Identify gaps, inconsistencies, and conflicts in requirements and collaborate with stakeholders to resolve them. Documentation Create comprehensive documentation, including Business Requirements Documents (BRDs), Functional Specifications, Use Cases, User Stories, and Process Flow Diagrams. Maintain clear and concise documentation for ease of understanding and accessibility to all stakeholders. Stakeholder Communication Act as a liaison between business stakeholders and technical teams to ensure effective communication and a shared understanding of requirements. Facilitate meetings, presentations, and workshops to communicate findings, project updates, and recommendations. Solution Design & Implementation Collaborate with development teams to translate business requirements into functional specifications and technical requirements. Participate in designing and implementing solutions that meet business needs and improve operational efficiency. Provide input during design reviews to ensure solutions align with business requirements. Testing and Quality Assurance Develop and execute test plans, test cases, and test scripts to ensure that solutions meet business requirements and are defect-free. Conduct User Acceptance Testing (UAT), gather feedback, and refine solutions accordingly. Document and communicate test results to stakeholders. Data Analysis & Reporting Perform data analysis to support business decisions and provide actionable insights. Create and maintain dashboards, reports, and visualizations to track KPIs and project progress. Project Management Support Manage project timelines, deliverables, and resources to ensure successful project completion. Monitor and report on project progress, including risks, issues, and changes. Coordinate with project managers to ensure alignment with project plans and schedules. Continuous Improvement Identify opportunities for process improvements and recommend solutions to enhance business performance. Promote a culture of continuous improvement and innovation within the team and organization. Stay updated on industry trends and best practices to drive business improvements. Training & Support Provide ongoing support and training to stakeholders on new systems, processes, and tools. Develop training materials and conduct sessions to ensure successful adoption of solutions. Act as a point of contact for post-implementation support and troubleshooting. Industry and Domain Knowledge Stay updated on industry trends, regulatory changes, and best practices related to BFSI. Apply domain knowledge to ensure solutions align with industry standards and regulatory requirements. Domain Expertise Required: You should have experience in the following areas of Banking Operations: Wealth and Private Banking (Retail Banking) Retail lending and investing concepts Mortgage and credit card processes Contact Center Optimization (IVR, browser changes under digital channels) Branch optimization Payments International Payment Systems and Open-Banking API-driven payments End-to-End payment lifecycle experience Corporate payments, cash management, real-time/immediate payments ISO 20022 migration experience Investment and Commercial Banking (CMB) Corporate and cash management core products and services Trade operations, market liquidity, and capital flow Knowledge of regulatory issues and Automated Data Flow projects (e.g., RBI automated reporting systems) Skills & Qualifications: Educational Background: Master s degree in Business Administration or related field. Certifications: CBAP, PMI-PBA, or other relevant business analysis certifications. Technical Knowledge: Strong understanding of the Software Development Life Cycle (SDLC) and technical project management. Data Analysis Tools: Experience with tools like Excel, SQL, or Tableau for data analysis and visualization. Project Management Methodologies: Familiarity with Agile or Waterfall methodologies. Domain Expertise: Experience in Banking and Financial Services (BFSI), particularly in leading or participating in end-to-end digital transformation programs in Agile environments. Additional Expertise for Specific Projects: For Market Business Analysis (BA), the focus will be on analyzing business challenges and identifying requirements for digitization, especially in Agile environments (CSM certified, SAFe methodology). You will manage backlogs, engage stakeholders, and support market adoption efforts. For Digital Business Analysis (BA), you will collaborate with technology teams to ensure the solutions meet business needs. You'll work w...

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, 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. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

Global Analytics Product Owner At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story. This position reports to Global Analytics Delivery Leader Your role and responsibilities In this role, you will have the opportunity to provide technical and business process/data advice to support ongoing operations and new software development. Each day, you will utilize your knowledge on systems, procedures, and emerging technologies. You will also showcase your expertise by overseeing the development, and validating the functionality, of the final product. The work model for the role is #LI #Onsite This role is contributing to the Electrification area in India. You will be mainly accountable for: Effectively driving E2E Analytical Project Execution which includes functional planning, technical solutioning, ETL development, Data visualization output, UAT & Go Live. Driving regular communication with team members to determine the status of various project milestones and potential roadblocks that need to be resolved. Driving crisp communication with key Business stakeholders to ensure clear linkage between project objectives and EL Business strategic initiatives. Proactively covering Issue Identification & resolution to ensure project is on track. Proficient in cost estimation, resource allocation and attrition management for project team. Effectively driving quality assurance within the technical team to ensure on time, actionable, First time right solutions to the Business. Encourage, Inspire & indulge team members to ensure that they are rightly motivated to deliver critical tasks on time. Manage complete documentation of the project from planning to Operations handover phase. Partner with senior leaders to build delivery roadmap for all projects within a specific Analytical product. Qualifications for the role 10 years of overall work experience as Product Owner/Product Manager. Prior experience as a Functional Analyst or Business Analyst in atleast one domain [Finance, Sales, Operations, Logistics, Manufacturing etc.]. Should be PMP, SAFe5 POPM, CSPO & ITIL certified with optional certification in CSM & PSPO I. Proficient in DevOps and any of the prevalent PM tools (Trello, Zoho Projects, Teamwork, Moday.com Asana, Basecamp, Toggl Plan etc.). Proficiency in Stakeholder management, Business Process Management & Team management. Preferred experience in Managing E2E Analytical projects in Snowflake. Education: ME/ M.Tech./ MS (Engg/ Sciences) and BE/BTech (Engineering). Industry: Manufacturing/Industrial. Qualification : ME/ M.Tech./ MS (Engg/ Sciences) and BE/BTech (Engineering).

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.