Hypothesis Testing Jobs in Bengaluru

Associate Staff Frontend Engineer Location: Bengaluru Hiring is still constrained by outdated processes manual screening, unconscious bias, and heavy administrative work. Talview is changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer delivering unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries. The Role We re looking for an Associate Staff Frontend Engineer who combines deep technical expertise with frontend leadership. You ll shape frontend architecture, raise engineering standards, and drive long-term technical strategy. This role is ideal for Senior ICs who enjoy ownership and influence without stepping into people management. What You ll Do Architecture & Strategy: Own frontend architecture and influence long-term technical direction. Design Systems: Evolve UI foundations, accessibility standards, and shared component libraries. Technical Leadership: Review critical PRs, unblock teams, and mentor engineers across multiple squads. Optimization: Solve challenges in performance, state management, and cross-service integrations. Collaboration: Partner with Product, Design, and Backend teams to deliver end-to-end solutions. Excellence: Drive standards across testing, observability, and CI/CD pipelines. You Might Be a Fit If You Have Required Qualifications: 5+ years of professional experience building modern frontend applications. Deep expertise in JavaScript/TypeScript and frameworks such as React. Strong understanding of web performance, security, and accessibility. Experience delivering complex features within large, shared codebases. Proven track record of mentoring engineers and improving frontend practices. Bonus Points For: Experience with micro-frontend architectures or design systems. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Prior Staff-level responsibilities or cross-team technical ownership. Our Culture: The 5Cs We are guided by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and stay obsessed with users. What You Get Competitive compensation and best-in-class hardware/software. Flexibility: 5-day work week with flexible hours. Engagement: Monthly team lunches, annual offsites, and a sense of belonging. Career Growth: Accelerated path toward Staff / Principal Engineer roles.

Senior Software Engineer (Frontend) Location: Bengaluru Hiring is still trapped in the past: manual screening, unconscious bias, and administrative overload. Talview is changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent, scalable exam monitoring. Ivy: A conversational AI Interviewer enabling unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re seeking a Senior Frontend Engineer passionate about building fast, intuitive, and elegant user experiences. You will lead frontend initiatives, architect high-performance UI systems, and elevate engineering standards across the organization. This is ideal for engineers who thrive on technical leadership and solving complex UX challenges. What You ll Actually Do Lead & Mentor: Guide engineers, drive execution, and ensure top-tier UI quality. Architect Interfaces: Build scalable, high-performance, and accessible applications. Collaborate Deeply: Partner with Product, Design, and Backend teams to shape workflows. Performance & Accessibility: Optimize rendering and responsiveness while enforcing WCAG and ARIA guidelines. Engineering Standards: Maintain code quality through reviews, best practices, and improved CI/CD pipelines. You Might Be a Fit If... Required Qualifications: 4 6 years building modern frontend applications. Expert-level HTML, CSS, and JavaScript knowledge. Strong experience with React, React Hooks, Jest, and React Testing Library. Deep understanding of accessibility standards (WCAG, ARIA). Experience with Git, CI/CD pipelines, and modern build tools. Proven ability in mentoring or leading other engineers. Bonus Points For: Experience with Frontend performance optimization. Knowledge of Micro-frontend architecture or Design Systems. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We live by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and keep it real. What You Get Competitive compensation and the best hardware/software tools. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, monthly team lunches, and annual offsites. Growth: Strong career acceleration in a fast-growing product company.

Position: Lead Product Analyst Location: Bengaluru Department: Product Job Type: Full-time Industry: FinTech / Product Analytics About Tide At Tide, we re on a mission to help small and medium enterprises (SMEs) save time and money. We provide them with business accounts, banking services, and a comprehensive suite of connected administrative solutions from invoicing to accounting. Tide is revolutionizing the small business banking market, with over 1.6 million members globally across the UK, India, Germany, and France. We re committed to creating a seamless, data-driven experience for our members through innovative technology and quick, low-fee services. About the Role As a Lead Product Analyst, you ll play a crucial role in shaping and influencing the Acquiring Product strategy, including POS, T2P, and Digital initiatives. You ll leverage your expertise in data analytics to uncover insights that drive merchant growth, optimize pricing, and improve portfolio performance. You will be a hands-on expert who works closely with cross-functional teams in Product, Marketing, Commercial, and Data Science, ensuring data-driven decisions power the product roadmap. This is an exciting opportunity for someone who thrives in a high-impact, high-autonomy environment and can both lead and execute. You ll be responsible for driving multiple initiatives simultaneously, creating clarity from ambiguity, and providing actionable insights that influence strategic decisions. Key Responsibilities Product Strategy Influence: Shape the strategy for Acquiring Products by identifying product and marketing opportunities based on data insights. End-to-End Analytics Projects: Lead analytics projects from beginning to end including problem definition, hypothesis framing, stakeholder alignment, insight delivery, and storytelling. Deep-Dive Analyses: Conduct in-depth analyses of the merchant lifecycle, including acquisition, activation, engagement, retention, pricing sensitivity, and churn triggers to inform product and marketing strategies. KPI Definition & Monitoring: Define and monitor key performance indicators (KPIs) for new product launches and ongoing performance to ensure alignment with impact metrics. Collaboration with Cross-Functional Teams: Partner with Product, Marketing, and Finance teams to uncover growth opportunities, measure performance, and provide data-driven recommendations for product strategy. Advanced Data Analysis: Use SQL and Python to explore large datasets, conduct statistical analyses, build segmentations, and test hypotheses. Innovation & Scalability: Proactively identify new areas for analytics contribution. Introduce fresh ideas, scalable analytical frameworks, and approaches to enhance the overall impact of data insights. Mentorship & Advocacy: Coach other analysts and stakeholders, fostering a culture of data-driven decision-making and elevating the business s analytical maturity. Data Storytelling: Translate complex data into clear, actionable business stories and visualizations using tools like Looker or other BI tools. What We Are Looking For Experience 10+ years of analytics experience, preferably in a high-growth product or SaaS company. Proven track record in product analytics, particularly within the merchant acquiring or digital payments domain. Strong Analytical Skills Expertise in SQL for complex querying and Python for data analysis or prototyping. Strong understanding of merchant lifecycle analytics, including acquisition, activation, engagement, and retention metrics. Strategic & Commercial Mindset Deep understanding of how to use data to optimize pricing, target specific customer segments, and drive product performance. Ability to prioritize initiatives based on business impact and alignment with strategic goals. Influence & Leadership Proven ability to influence senior stakeholders and drive change without direct authority. Comfortable in high-autonomy, high-impact environments, taking the initiative and owning outcomes. Communication Skills Ability to convert complex data into clear, compelling narratives that resonate with both technical and non-technical stakeholders. Proficiency in using BI tools (Looker, Tableau, etc.) to visualize and communicate insights effectively. Self-Motivation A self-starter who can work independently, take initiative, and lead multiple projects simultaneously. What You ll Get In Return Competitive Salary: Competitive compensation and performance-based bonuses. Health Insurance: Self & family health insurance along with OPD benefits. Life & Accident Insurance: Comprehensive protection with term & life insurance. Mental Wellbeing: Access to Plumm, a mental wellbeing platform for therapy sessions and courses. Learning & Development: An annual budget for courses, books, and coaching to help you grow. Stock Options: Equity options that allow you to benefit from Tide s future success. Work From Home Setup: A contribution toward setting up your home office. Time Off: 15 days of privilege leave, 12 days of casual leave, 12 days of sick leave, and 3 paid days off for volunteering or L&D activities. At Tide, we re Member First, Data Driven, and One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We embrace flexible working hours, trust our employees to manage their own schedules, and foster a collaborative, supportive team culture.

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Position: Junior/Senior Design Engineer Hardware Design Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication / Electronics & Telecommunication M.E./M.Tech. in Electronics & Communication Experience: 2 to 4 years Job Overview We are looking for a passionate and detail-oriented Hardware Design Engineer (Junior/Senior level) to join our engineering team in Bangalore. In this role, you will be responsible for designing high-performance embedded hardware systems, from circuit design and schematic capture to board bring-up and testing. You ll work closely with cross-functional teams to deliver robust, scalable, and reliable hardware solutions, primarily for embedded and defense applications. Key Responsibilities Execute assigned hardware design tasks within defined timelines. Design and develop complex hardware circuits, schematics, and PCB layouts. Perform Signal Integrity (SI), Power Integrity (PI), and thermal analysis. Develop hardware test plans and execute board/system testing accordingly. Conduct board bring-up, validation, and debugging of hardware platforms. Participate in design reviews, defect prevention, and continuous improvement activities. Adhere to all QMS (Quality Management System) and project-specific processes. Prepare detailed technical documentation and maintain design records. Flag and resolve any technical challenges with guidance from tech leads. Technical Skill Set Strong expertise in circuit design, schematic capture, and PCB design. Hands-on experience with 16-bit or 32-bit processors/microcontrollers (e.g., ARM, PowerPC, IBM PPC 405, Intel x86). Experience with FPGA-based board designs. Good understanding of high-speed board design and signal integrity concepts. Familiarity with system interfaces: PCI, PCIe, VME, Compact PCI, ATCA/AMC is a plus. Exposure to embedded hardware design for defense applications. Understanding of qualification processes for industrial/defense-grade products. Proficiency in board bring-up and hardware debugging techniques. Technology Domains Storage Technologies: iSCSI, SATA, Fibre Channel Processors: MIPS, ARM, PowerPC Interfaces: USB, PCIe, PCI-X Memory: DDR, DDR2, RLDRAM Soft Skills & Attributes Strong verbal and written communication skills Excellent interpersonal and teamwork abilities Proactive and solution-oriented mindset Strong time management and organizational skills Opportunity to work on cutting-edge hardware design projects in embedded and defense domains Exposure to the complete hardware development lifecycle Collaborative and inclusive work culture Learning and development support Competitive compensation package Qualification : M.E./M.Tech. in Electronics & Communication

Engineer - Distributed Control Systems (DCS) Location: Bengaluru Experience: 0 - 1 Year Openings: 1 About the Role: As a DCS Engineer, you will report to the Assistant Manager Engineering Services. Your primary purpose will be to manage the complete product lifecycle for DCS applications, encompassing software application development, hardware programming, and crucial commissioning and testing activities. This is a hands-on technical role that requires both strong analytical skills and a readiness to travel. What You'll Do: DCS Software Development: Develop and program software applications for Distributed Control Systems, with a focus on ABB 800xA. System Configuration: Gain hands-on experience and apply your knowledge in Control Builder, PG2 Graphics, Communication Protocols, and AC800M Hardware. Commissioning & Testing: Lead and execute the programming, commissioning, and testing of 800xA systems on-site. Customer Support: Provide excellent customer handling and support for Factory Acceptance Testing (FAT), ensuring client satisfaction. Project Lifecycle Management: Take responsibility for the entire project lifecycle, from initial software development through to final commissioning. Travel: Be prepared to travel extensively to customer sites across India for commissioning activities. What We're Looking For: Educational Qualification: A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication. Experience: 0 to 1 year of experience in a relevant engineering role. Technical Skills: Strong knowledge and hands-on experience with ABB 800xA Software Development. Proficiency in Control Builder, PG2 Graphics, Communication Protocols, and AC800M Hardware. Demonstrated experience in the complete project lifecycle from software development to commissioning in ABB 800xA. Excellent analytical skills to troubleshoot and optimize systems. Software Proficiency: Strong knowledge of Microsoft Office, Excel, and PowerPoint. Communication: Good communication skills in English for effective internal and external interactions. Physical Requirements: Must be physically fit and willing to travel to customer locations across all regions of India.

Junior Engineer - Distributed Control Systems (DCS) Location: Bengaluru Experience: 0 - 2 Years Openings: 1 About the Role: As a Junior DCS Engineer, you'll report to the Assistant Manager Engineering Services. Your primary purpose will be to support the complete product lifecycle for DCS applications, focusing on software application development, hardware programming, and crucial commissioning and testing activities. This is a hands-on technical role ideal for someone looking to build their expertise in industrial automation, requiring both analytical skills and a readiness to travel. What You'll Do: HMI Graphic Development: Develop and design Human-Machine Interface (HMI) graphics for DCS systems, ensuring intuitive and effective user interfaces. DCS Software Development: Assist with and learn to develop and program software applications for Distributed Control Systems, with a focus on ABB 800xA. System Programming & Commissioning: Participate in the programming, commissioning, and testing of 800xA systems on-site, gaining practical experience in live environments. Project Lifecycle Support: Support the team across the entire project lifecycle, from initial software development through to final commissioning. Travel: Be prepared to travel to customer sites across India for commissioning activities as needed. What We're Looking For: Educational Qualification: A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication. Experience: Candidates with 0-2 years of experience in industrial automation, control systems, or relevant project work will be considered. Technical Skills: Good analytical skills to understand and troubleshoot system functionalities. An understanding of the complete project lifecycle from software development to commissioning, especially in ABB 800xA, is highly beneficial. Willingness to learn and grow in a technical environment. Software Proficiency: Strong knowledge of Microsoft Office, Excel, and PowerPoint. Communication: Strong communication skills in English for effective internal and external interactions. Physical Requirements: Must be physically fit and willing to travel to customer locations across all regions of India. If you're a recent graduate or early-career engineer with a passion for DCS systems and eager to launch your career in industrial automation, we encourage you to apply! Qualification : A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication

Position: Data Science Intern Analytics, Automation & Problem Solving Location: Bangalore On-site Duration: 3 6 months Internship Experience: Final-year students or recent graduates About the Role: We re seeking a high-agency intern passionate about data and obsessed with solving real-world problems. At 5C Network, data goes beyond analysis it drives systems, operations, and healthcare outcomes. Join our Data Science & Analytics team to go beyond dashboards: own challenges, build automations, and work with data impacting thousands of lives. What You ll Work On: Complex Querying & Data Handling: Write and optimize high-performance SQL queries on large healthcare datasets (PostgreSQL, ClickHouse), troubleshoot discrepancies, and ensure data reliability. Python-based Data Transformation: Clean, manipulate, and transform raw data using Pandas and NumPy; contribute to backend scripts powering dashboards and reports. Dashboarding & Reporting: Assist in creating intuitive dashboards (Metabase, Power BI, Google Data Studio) used for operational, product, and clinical decision-making. Automations & Workflows: Identify repetitive tasks and automate processes with Python, APIs, and reporting tools. Advanced Applications: Collaborate on projects involving natural language data, smart assistants, and auto-triggered insights to enhance decision-making intelligence. Business Context Awareness: Understand the purpose behind every metric focus on solving impactful business problems, not just queries. What We Expect from You: Strong command of SQL with skills in query optimization, debugging, and managing complex data logic. Solid Python skills for data tasks (Pandas, NumPy, scripting). Comfort working with real-world messy data, databases, and schemas. Curiosity and initiative: Investigate anomalies rather than ignoring them. Business-first mindset: Always question the meaning behind metrics. High ownership: Proactively explore, propose solutions, and take charge without waiting for perfect instructions. Willingness to learn and stretch whether automating reports, building tools, or mastering new skills daily. Nice to Have: Experience with APIs, backend data workflows, or FastAPI. Familiarity with Git and data visualization platforms. Interest in healthcare or operations-heavy environments. Exposure to LLMs, text analytics, or no-code/low-code tools (even exploratory). Why This Internship is Different: Real projects with real impact on national healthcare delivery. Exposure to full-stack analytics from pipelines to dashboards to business strategy. Mentorship from experienced data scientists and engineers. Potential opportunity for full-time conversion based on performance. Perks: Paid internship with a stipend. Certificate of completion and potential pre-placement offer. Office located in Bangalore s vibrant startup and health-tech hub.

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: 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.

Senior Associate, Business Growth Location: Bengaluru, India Employment Type: Full-time We re a rocketship: With $130M+ in revenue, a presence in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry. We've raised $60M+ from top-tier investors, and we're just getting started. Our mission is to be the easiest, fastest, and most delightful way to head out to a real-life experience from immersive tours to museums to live events and more. The foundation is strong, momentum is real, and the opportunity ahead is enormous. We've proven the model and built a profitable, growing business now it's time to scale. If you're looking to join a high-impact team at a critical stage of expansion, this is the moment. Our Culture We care deeply about ownership, craft, and impact. We do the best work of our careers here and have fun while doing it. We're not for everyone, but if you're a builder who loves solving hard problems, you ll feel right at home. The Role: Senior Associate, Business Growth As part of Headout s Growth Team, you'll help drive key market expansion and revenue initiatives. You ll work closely with the team responsible for boosting GMV and revenue in one or more regions analyzing performance, finding new opportunities, improving consumer experience, and executing projects from 0 1. This role is based in Bengaluru, and we're looking for candidates who are either already in the city or open to relocating. Own key business growth initiatives: Manage projects across performance optimization, funnel efficiency, conversion improvements, and more. Data-driven impact: Use data to identify bottlenecks, run A/B tests, optimize customer journeys, and uncover levers for GMV growth. Work across the stack: Collaborate with category, supply, marketing, product, and analytics teams to turn ideas into results. First-principles thinking: Tackle ambiguous problems and develop hypotheses and experiments from scratch. Strategic partnerships: Understand the supply landscape and support regional BD teams in building scalable relationships with top suppliers. Customer-centric approach: Undertake user research to identify friction points and turn insights into solutions. What You Bring 2 5 years of experience in growth, business operations, or category management in high-growth B2C environments (e.g., e-commerce, travel, hyperlocal, etc.) Strong analytical skills: You re fluent in Excel and data visualization, and you use data to back all decisions. Self-starter mindset: You thrive in high-ownership, ambiguous environments and are excited to drive projects from idea to execution. Strong communication & collaboration skills: You can clearly articulate your reasoning, coordinate across teams, and get things done. Creative problem solver: You re resourceful and unafraid to experiment and iterate rapidly. Bonus Points Experience working with SQL, Looker, or other data/BI tools Exposure to user research and experimentation (A/B testing) A passion for the travel industry and consumer experiences Join us at Headout where your work directly impacts millions of users globally, and where there s no ceiling on growth or learning.

Job Title: Product Analyst Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming how businesses engage customers through human-level AI on WhatsApp. As part of Y Combinator's W21 cohort, we support over 300 top brands like HUL, ITC, Wow Skin Science, and Piramal Health. Our Gen AI agents are driving millions of interactions daily, now expanding into high-stakes sectors like BFSI, Healthcare, and Retail. At LimeChat, we operate like an elite sports team driven, mission-focused, and constantly raising the bar. If you re passionate about data and want to make a measurable impact in a high-growth AI startup, this is your moment. About the Role We're looking for a Product Analyst who will turn complex product data into clear, actionable insights. This role offers end-to-end ownership from designing metrics and running experiments to influencing roadmap decisions. You'll work closely with PMs, engineers, and designers to guide product development and help answer tough questions through data. If you're experienced in analytics, crave ownership, and thrive in fast-paced environments, we want to hear from you. Responsibilities Product & User Analytics Map user journeys to uncover friction in activation, engagement, and retention. Run deep-dive analyses: retention curves, funnel breakdowns, cohort analysis. Design, execute, and analyze A/B tests to validate hypotheses. Create lightweight forecasting models for revenue and payback predictions. Collaborate with PMs to define and track North-Star and supporting metrics. Self-Serve Insights Build and manage Metabase / Looker dashboards for internal teams. Automate reporting for product reviews and roadmap discussions. Maintain clear documentation of metrics, definitions, and data models. Cross-Functional Collaboration Share insights with Growth and CS teams to help drive upsells and prevent churn. Partner with Engineering on event tracking and data QA. Support executive reporting by prepping investor decks and board metrics. Must-Haves 1 2 years in a product analytics, growth analytics, or product ops role. Strong hands-on SQL skills and experience with a BI tool (e.g., Metabase, Looker, Power BI). Comfortable turning ambiguous product questions into clear metrics and explanations. Solid understanding of core metrics like DAU/WAU/MAU, retention, LTV, CAC, payback. Proactive, detail-oriented, and highly outcome-driven. Nice-to-Haves Experience with SaaS or B2B analytics, especially in chatbots or CX automation. Exposure to Python or R for deep-dive analysis or ML experimentation. Understanding of financial metrics and product-led revenue dashboards. Perks & Benefits Unlimited PTO & sick leave Free lunch and snacks Subsidized fitness membership Pet-friendly office Annual team retreat You won t just be running dashboards you ll be shaping product decisions, owning metrics end-to-end, and influencing the roadmap of an AI company at the cutting edge of conversational commerce. This is a career-defining opportunity to grow fast, work with a high-caliber team, and make measurable impact at scale.

Job Title: Product Analyst - I Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a consumer technology company powering disruptive digital platforms such as Glance, Roposo, and Nostra. Our flagship Glance Lock Screen is available on over 400 million smartphones globally, delivering personalized, context-aware content seamlessly. Roposo is revolutionizing live video experiences with immersive, creator-led content, while Nostra leads as the largest gaming platform in India and Southeast Asia, enabling users to discover, play, watch, learn, and compete. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we encourage you to dream big and take ownership from day one. Collaborate with talented, ambitious teams on mission-critical projects that leverage bleeding-edge technology to redefine consumer experiences. We support your growth with daily meals, gym access, training sessions, modern tech tools, and a welcoming environment for your kids and pets. Role Overview As a Product Analyst - I, you will work closely with product managers, engineers, data scientists, and content teams to analyze, interpret, and provide actionable insights from data. Your work will directly influence product features, personalization strategies, and content optimization on India s largest visual content discovery platforms including Glance and Roposo. Key Responsibilities Collaborate with cross-functional teams and external partners to drive data-informed innovation. Work with product managers to define and analyze metrics, evaluate feature adoption, and measure product performance. Support personalization efforts by working with data science and engineering teams on live feed and tab features for Roposo and Glance apps. Partner with content teams to refine content strategies and monitor performance of shows and creators. Develop frameworks and processes to enable faster and more effective data analysis. Strong analytical mindset with a bias for action and attention to detail. Comfortable working with data tools to uncover insights and support product decisions. Energetic, quick learner who thrives in a fast-paced, cross-functional, and global environment. Ability to multitask and collaborate effectively with diverse stakeholders. Skilled in creating frameworks and processes for efficient data analysis. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related analytical field. 3 5+ years of experience in product analytics within consumer tech or digital product environments. Proficient in SQL/BigQuery, Excel, and dashboarding tools like Tableau, Superset, or Power BI. Knowledge of R or Python is a plus. Join Glance and play a key role in shaping data-driven decisions on some of India s largest and most innovative digital platforms. Apply now to grow your career in Bangalore! Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related analytical field.

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.

Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields

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: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Job Description: Primary Market Research Senior Consultant Join a global organization with 82000+ employees around the world, as a Primary Market Research Senior Consultant based in Bangalore/ Gurugram/ Pune which helps life sciences companies to accelerate innovation to make greater impact on human health. Our transformative technologies harness intelligence, integrate industry-leading data and analytics. About the team The role is within the Research & Intelligence Team (R&I), whose aim is to deliver market research solutions, comprising mainly of PMR (Primary Market Research) along with inputs from SDR (Secondary Desk Research) to generate relevant insights for clients. Our team: Effectively combines different sources of data and using leading edge PMR techniques and capabilities to generate research, which is actionable, going beyond insight generation to show how to understand and influence prescriber and patient behavior. Role Summary Experience in market research: 7-10 years Manage multiple PMR projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and business need as agreed with the stakeholders. Responsibilities: Manage multiple PMR (qual and quant) projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and business need as agreed with the stakeholders. Write questionnaires and discussion guides for diverse stakeholders like physicians, patients, caregivers, payers etc. Create custom market research solutions for clients by thinking through their business issue, and adding the right context to the request (therapy area, methodology etc.). Deliver in depth, comprehensive, regular PMR reports and support ad hoc queries in the areas of indication-based pipeline landscapes, competitor company/ asset profile, competitor launch timelines and key event timelines, newsletters etc. Analyze secondary data sources and reports to provide information on overall market landscapes, market sizing and a range of ad hoc business questions. These analyses may include reporting of the competitive and scientific landscape both in terms of the current position and the predicted future state. Responsible for continuous process improvement in developing content for various PMR deliverables across indications/therapy areas. Demonstrate excellence as an individual contributor with minimal support from peers/team lead, together with the ability to mentor a team of analysts/ACs, driving high productivity/ efficiency, and creating appropriate performance reviews and capability development plan. Quality control and overview and to ensure deliverables are client ready. Project types: Market assessment and sizing, pipeline assessments, patient/consumer journey, brand tracking, go-to-market strategy. What we re looking for: Relevant experience of 7-10 years with master s degree (M.Pharm/MSc in Pharmacy, Biotechnology, life sciences). Exceptional communication skills both at the written and oral level. Excellent knowledge of English and of the main Microsoft Office tools (Word, Excel, PowerPoint). High skills of interpretation and analysis (quantitative, qualitative and integration of different sources of data assets) - This would include thinking through the client business issue, adding the right context to the request (therapy area, business issue etc.) and developing a tailored, innovative solution to address the clients business objectives. The preferred candidate will be creative, client/objective focused, open minded, autonomous and at the same time have great team spirit. Should be aware of free to use online resources like WHO, USFDA, CDC, CMS, PubMed, UNSD, Eurostats, NORD, FDA warning letters, etc.

ABOUT THE ROLE: As a Product Analyst you ll work closely with Tide s product teams to use data to drive product adoption. You ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Lead of Growth Product Analytics. Some of the things you ll be doing: Product Discovery hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s) to impact revenue. Solution confidence product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the champion of product experimentation and would observe data, propose, design and analyse product experiments. Product and feature performance review new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify features that need to be shipped, scaled or killed. User research solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Experimentation & product growth you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. WHAT WE ARE LOOKING FOR: You have 3-7 years of experience working on Product Analytics for a digital product. You have strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. WHAT YOU LL GET IN RETURN: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING: At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

As a Test Engineer at Thales, you will be tasked with developing and executing comprehensive test specifications, cases, and automation scripts based on defined requirements. You'll work with an agile team to enhance test automation and lead the troubleshooting processes for build issues in a Linux environment. Your responsibilities will span across both manual and automated testing, enabling the delivery of high-quality systems to meet the needs of defense and aerospace clients. Key Responsibilities: Test Specification and Execution: Develop test specifications, cases, procedures, and scripts based on product requirements. Execute and validate the effectiveness of the tests. Master the IADT (Integrated Architecture Development Tool) methodology, particularly in relation to test and demonstration activities. Test Automation: Automate testing processes to reduce manual effort and improve testing efficiency. Work with tools like QF Test (or similar) to implement and maintain automation frameworks. Linux Expertise: Deep knowledge of the Linux file system and process management. Troubleshoot build issues and execute Linux commands effectively. Understand networking and virtualization. Tools & Platforms: DOORS for requirement management. Jira for issue tracking and project management. Bitbucket for version control and source management. Shell scripting to automate tasks and ensure smoother build processes. Jenkins for continuous integration and deployment (CI/CD). Collaboration & Independence: Work independently while also being a proactive team player. Take part in the complete product lifecycle from requirements gathering to test execution. Demonstrate a strong ability to quickly learn new concepts and tools as required. Required Skills & Qualifications: Education & Experience: Bachelor s degree with 5-8 years of relevant experience in test engineering or quality assurance roles. Technical Skills: Proven experience in test specification, case development, and test execution. Familiarity with test automation, particularly using QF Test or similar tools. Strong proficiency in Linux systems, file management, and troubleshooting. Knowledge of networking, virtualization, and relevant Linux commands. Tools & Technologies: Proficiency in DOORS, Jira, Bitbucket, Shell scripting, and Jenkins. Hands-on experience with test automation frameworks. Desirable Skills: AMS background (Asset Management Services) is a plus. Prior experience with Thales projects or familiarity with Thales processes would be an added advantage. Why Join Thales? At Thales, we are committed to providing careers, not just jobs. As a global leader with 80,000 employees in 68 countries, we offer numerous opportunities for career development, whether at home or abroad. We believe that embracing flexibility in work fosters both professional growth and personal satisfaction. Great journeys start here. Apply now! Qualification : Bachelors degree with 5-8 years of relevant experience in test engineering or quality assurance roles.