263 Hypothesis Testing Jobs - Page 3

Design, build, and maintain scalable and efficient ETL/ELT pipelines in Azure Databricks to process structured, semi-structured, and unstructured insurance data from multiple internal and external sources, Collaborate with data architects, modellers, analysts, and business stakeholders to gather data requirements and deliver fit-for-purpose data assets that support analytics, regulatory, and operational needs, Develop, test, and optimize data transformation routines, batch and streaming solutions (leveraging tools such as Azure Data Factory, Data Lake Storage Gen2, Azure Event Hubs, and Kafka) to ensure timely and accurate data delivery, Implement rigorous data quality, validation, and cleansing procedures?with a focus on enhancing reliability for high-stakes insurance use cases, reporting, and regulatory outputs, Integrate Informatica tools to facilitate data governance, including the capture of data lineage, metadata, and data cataloguing as required by regulatory and business frameworks, Ensure robust data security by following best practices for RBAC, managed identities, encryption, and compliance with Hong Kong's PDPO, GDPR, and other relevant regulatory requirements, Automate and maintain deployment pipelines using GitHub Actions to ensure efficient, repeatable, and auditable data workflows and code releases, Conduct root cause analysis, troubleshoot pipeline failures, and proactively identify and resolve data quality or performance issues, Produce and maintain comprehensive technical documentation for pipelines, transformation rules, and operational procedures to ensure transparency, reuse, and compliance, Apply subject matter expertise in Hong Kong Life and General Insurance to ensure that development captures local business needs and industry-specific standards,

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a hands-on Staff, Advanced Analytics who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. The Difference You Will Make: Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions. Drive day to day product analytics and build analytical solutions Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience. A Typical Day: Owning the product analytics road map, prioritization & delivery of solutions in the Contact Center Product space. Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines. Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness Collaborate with engineering to define scale logging and ensure observability across Agentic and LLM workflows. Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations. Translate insights into strategic recommendations for senior leaders; shape product priorities through data. Hire, mentor and up level team capability in AI analytics, experiment best practices and storytelling. Your Expertise: 12+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences Strong expertise in Python, SQL, A/B testing platforms and best practices Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy). Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement. Experience designing and building metrics, from conception to building prototypes with data pipelines Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus Contact center domain and market place domain knowledge would be a plus Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. The team focuses on driving acquisitions, cross-sell, revenue growth, and improvements in client experience. They extract relevant insights, identify business opportunities, convert business problems into analytical frameworks, use big data tools and machine learning algorithms to build predictive models and other solutions, and design go-to-market strategies for a variety of business challenges. The role available is for an Assistant Vice President (C12) in the TTS Analytics team. Reporting to the VP or SVP leading the team, the position involves leading a team of analysts. Responsibilities include working on multiple analyses throughout the year on business problems across the client life cycle acquisition, engagement, client experience, and retention for the TTS business. This will require leveraging various analytical approaches, tools, and techniques, and working with multiple data sources to provide data-driven insights to business and functional stakeholders. Qualifications required for this position include a Bachelor's Degree with 7-10 years of experience in data analytics, or a Master's Degree with 6-10 years of experience in data analytics, or a PhD. Essential experience includes marketing analytics, business problems related to sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention, as well as predictive modeling using Machine Learning. Also, experience with unstructured data analysis using Natural Language Processing (NLP)/Text Mining is a must. Desired skills for this role include the ability to understand complex business problems, break them down into solvable parts, and develop analytical approaches to address them. Proficiency in converting business problems into analytical tasks, identifying trends and patterns with data, and using tools like Python/R, SQL, and Hive are necessary. Soft skills such as clear communication, team building, coaching and mentoring, idea generation, and working with ambiguity are also crucial. The role falls under the Decision Management job family and the Business Analysis job family. It is a full-time position at Citi, and accommodations for individuals with disabilities are available. For further information, review Citis EEO Policy Statement and the Know Your Rights poster.,

The Business Analytics Analyst C09 is an entry level position within the Campus program for Analytics & Information Management & USPB Risk business. In the first year of Campus program, you will gain foundational knowledge and experience of the range of analytical & statistical processes, procedures and systems to be used in performing assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. You will work and add value to your team while attaining core competencies in areas such as data manipulation, familiarity with tools, statistical mindset, and presentation & visualization. This includes working with large and complex data sets, identifying and compiling data sets using a variety of tools (e.g. SQL, Access), having familiarity in basic statistics, hypothesis testing, segmentation, and predictive modeling, as well as knowledge of data visualization techniques to design effective presentations. As a recent college graduate with 0-2 years of work experience, you are required to possess analytic ability and problem-solving skills, have a basic understanding of statistics and probability, and exhibit good logical, analytical, quantitative, and reasoning skills. Excellent communication and interpersonal skills are also necessary for this role. The ideal candidate should hold an Mtech/MCA/MSc or equivalent Masters degree from premier institutes. If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi.,

We are seeking marketing analysts with exceptional analytical skills. Your main responsibilities will include collaborating with AdElement customers, offering strategic and tactical recommendations, supporting campaign execution and optimization, and advising on best practices. Additionally, you will play a key role in identifying product enhancements and creating prototypes for optimization models. The ideal candidate should possess strong analytical skills and be proficient in R, Excel, data analysis, and internet technologies. A solid background in statistics, probability, and hypothesis testing is essential. You should thrive in a fast-paced, metric-driven, and dynamic entrepreneurial environment, demonstrating excellent communication skills and a charismatic personality. Experience with big data frameworks and tools such as Hadoop and Hive is required, along with familiarity with online advertising strategies. Preferred qualifications include a Bachelor's degree in Engineering or a related field, and a Master's degree in Technology, Business Administration, or Statistics.,

You should have at least 2 years of experience in model validation, implementation, or risk analytics, preferably within the banking or credit card industry. Your responsibilities will include performing independent validation of models using techniques such as stress testing, back-testing, and sensitivity analysis, XGBoost to evaluate the accuracy, reliability, and stability of models. A strong understanding of statistical and machine learning concepts is required, including regression, classification, clustering, and neural networks. You should also have experience with statistical testing, hypothesis testing, and data validation techniques. Proficiency in Python, SQL, data analysis, and model implementation is essential for this role. Excellent written and verbal communication skills are necessary to effectively present technical findings to non-technical stakeholders. It would be advantageous to have regulatory understanding, such as Basel, OCC, and Federal Reserve guidelines. Ideally, you should have a Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field. Advanced degrees are preferred for this position.,

About Aspire Lifestyles Aspire Lifestyles is an integrated Concierge, personal assistance and customer relationship engagement company We develop & design white label loyalty programs for leading brands as their marketing preposition which enables new customer acquisitions, retention and loyalty of their customers This position is responsible for new business development (B2B) by targeting CXOs, CMOs and product managers of leading banks, Hospitality Luxury Auto & Insurance companies along with retention and growth of the current business through relationship & key account management, Aspire Lifestyles (aspirelifestyles) is part of International SOS, a leading travel, medical and security assistance company We have clients like HDFC, AMEX, BMW, Club Jolie, ICICI Bank, AU Small Finance Bank, VISA, Standard Chartered Bank, HSBC, Tata Motors EV, YES Bank,Bandhan Bank, Club Mahindra etc Key Responsibilities Responsible for achieving individual sale targets and including related KPIs as well as annual budgeted sales margin This includes combined targets for existing partners and new clients, Responsibilities will include the ownership of mapping the market basis the key segments, generating leads through cold calls & references, maintaining a effective sales pipeline, delivering high impact presentations, pricing & contract negotiations and leading sales conversions, Source for new prospects and clients on an ongoing basis the target audience should be Head of Departments preferably from the following units/divisions CXOs CMOs, New Product Development, & Marketing teams, Responsible for relationships with decision makers, influencers, economic buyers & technical buyers to generate new business and maintain a long-term relationship to retain and grow them into large & profitable accounts, Maximize business from existing clients through retention & engagement and generate additional revenue through account extension, cross sell & develop new products, offers, events & experiences, Responsible for proactive client engagement throughout the account lifecycle which includes Onboarding, designing the standard operating procedures, coordinating cross functional teams, driving program utilization, yearly renewals & conducting regular client visits & reviews, Would need to be well versed or have relationships in the following sectors Banks & Financial institutions Credit cards, Private banking, Wealth, NRI Hospitality companies Hotels, restaurants, real estate, facility management, Loyalty providers Luxury Automobiles High end car manufacturers Insurance Loyalty programs Job Requirement Required Skills and Knowledge (Brief description of technical knowledge or skills needed to perform the job) IT literate and proficient in the use of computer software including Microsoft Outlook, Excel, Power Point, Persuasive, articulate and able to work with and influence people at all levels, diverse background/ industries and personalities, Self-motivated and possess an aggressive sales personality that helps in achieving quantitative results, Able to work in a calm, logical and professional manner always, Good organizational and administrative skills, Creative & out of the box thinking, Report writing skills Demonstrate a consultative sales approach and be able to foster relations with a wide range of local and expatriate clients, Required Work Experience (Brief description of the job-related experience needed to perform the job) 7+ years of proven sales experience in Product & Services/ solution selling to multinational organizations, Experience of working with matrix organization is preferable, Required Qualifications (Brief description of the educational background needed to perform the job) Minimum graduate (any stream) MBA with specialization in Sales/ Marketing or related subjects We take care of our Employees Medical coverage for employee Highly engaged and empowered work culture Continuous learning & development

You are seeking an AI/ML Engineer specialized in Cyber Security & Networking to create and enhance machine learning models for network security and product optimization. Your role involves developing scalable AI-driven solutions in a fast-paced start-up environment. Collaboration with cross-functional teams is essential to deliver impactful results that enhance security, product performance, and business outcomes effectively. Your responsibilities will include developing and deploying ML models for threat intelligence, anomaly detection, and cyber security applications. You will work closely with product managers to define project objectives and measurable outcomes. Architecting and implementing AI solutions to enhance network management and product efficiency will be a key part of your role. Additionally, leading the design of algorithms, data pipelines, and predictive models to optimize customer experiences and revenue is crucial. Monitoring, analyzing, and improving model performance to ensure scalability, reliability, and accuracy are vital tasks you will undertake. Coordinating with engineering and data science teams for the seamless integration of AI solutions into products is also part of your responsibilities. Effective communication of progress, challenges, and solutions to senior management and stakeholders is expected from you. To excel in this role, you should possess a Bachelor's degree in Engineering/Computer Science with at least 5 years of experience in AI/ML applications. Proven expertise in developing ML models for cyber security and networking domains is required. Strong knowledge of clustering, decision trees, neural networks, and anomaly detection techniques is essential. Proficiency in TensorFlow, PyTorch, Keras, and Natural Language Processing (NLP) is expected. A solid foundation in statistical techniques such as regression, distributions, hypothesis testing, etc., is necessary. Excellent analytical, problem-solving, and communication skills are key attributes for this role. The ability to work independently in a growth-driven start-up environment is a must. Experience in deploying ML models at scale in cloud environments (AWS, GCP, Azure), exposure to cyber threat intelligence platforms and network monitoring tools, contributions to open-source AI/ML projects, and familiarity with DevOps/MLOps practices for AI model lifecycle management are considered nice-to-have qualifications for this position.,

As a Specialist, Statistical Analysis at Fiserv, you will play a vital role in the organization by utilizing your skills and expertise to extract valuable insights from data. Your contributions will enable data-driven decision-making, ultimately leading to the success of the organization. Leveraging product knowledge, subject matter expertise, and technical skills, you will provide top-notch service to address client/customer issues effectively. Your responsibilities will include driving new business engagements with clients, as well as nurturing existing client relationships. You will collaborate with clients to comprehend their business challenges, processes, and implementation hurdles. Using data analysis, you will assess the business unit's functions, identify key business drivers, and propose strategies and future actions. In this role, you will manage end-to-end delivery, from requirement gathering to solution design and business recommendations. Working closely with statisticians, you will develop solution frameworks, identify statistical techniques, implement mechanisms, track campaigns, and create experimental designs to enhance business performance understanding. Ideally, you should possess domain expertise in banking and risk domains to shape solution frameworks and develop strategies that add incremental value to the business. Proficiency in advanced statistical techniques is crucial for validating model outcomes and aligning them with business requirements and implementation plans. Furthermore, you will be expected to develop analytics proof of concepts on emerging trends in banking to innovate new analytical products for Fiserv. Collaboration with the model development team, providing feedback, and recommending model improvements based on validation results will be essential aspects of your role. Effective communication is key in this position, as you will need to articulate validation findings and recommendations to stakeholders clearly and concisely, both verbally and through written reports or presentations. To qualify for this role, you should hold a Bachelor's degree in Statistics/mathematics or a related field, along with 5-8 years of experience in solving business problems using advanced statistics. Strong analytical, problem-solving, and communication skills are essential requirements. In addition to the above, proficiency in programming languages like Python, R, or SAS, experience with relevant libraries and frameworks, a solid understanding of hypothesis testing and validation methodologies, as well as familiarity with data manipulation, feature engineering, and data preprocessing techniques would be advantageous. Thank you for considering employment with Fiserv. To apply, please use your legal name, complete the step-by-step profile, and attach your resume. Fiserv is committed to diversity and inclusion and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, as they may be used by cybercriminals to target sensitive information. Any communication from a Fiserv representative will originate from a legitimate Fiserv email address.,

The Business Excellence Manager is responsible for driving continuous improvement initiatives, optimizing processes, and fostering a culture of operational excellence across the organization. The ideal candidate will have strong analytical and project management skills, and the ability to influence cross-functional teams to achieve strategic goals. Primary Job Responsibilities: Facilitate process improvement and assist business owners in improving existing process performance through analysis, experience and employee input in a project environment. Build and deliver Operational/Delivery Excellence training and coach on Enterprise Operations principles. Assist organization in the creation, monitoring, measurement and analysis of standardized processes. Support the development and implementation of a formal management review of Key Performance/Operating results, and train and coach all functional areas on measurement principles. Provide support/input to weekly and/or monthly Key Performance Indicator (KPI) reports and review meetings. Facilitate and/or participate in cross functional Process Improvement Initiatives and root cause analysis. Implement strategic quality direction into operational guidelines and practices and support ongoing expansion of the quality culture across the organization. Provide support to develop support assets, e.g., tracking tool for operational excellence success stories, tracking of root cause/lessons learned from actual delivery experiences, etc. Communicate to key management stakeholders on salient quality issues and business opportunities. Lean Methodologies: Value Stream Mapping, Continuous Improvement. Agile Expertise: Scrum, Kanban, Agile transformation leadership. Responsible for driving Operational Excellence which includes Process Improvement, Process Design, Reengineering, Change Management, Project Management, Organizational Structuring and project management, Operational Audits. Analyze and bridge the gaps between existing and new processes; created process models, flow charts, data flow diagrams, business interaction flows and Use Cases. Working with operational teams to establish standards procedures and systems. Data Analysis: Perform advanced statistical analysis to identify root causes of process issues and measure improvements. Should have good understanding of tools such as regression analysis, hypothesis testing, control charts etc. Continuous Improvement: Promote a culture of continuous improvement by encouraging and facilitating the identification of process improvement opportunities across the organization. Compliance and Quality: Ensure that all process improvements comply with industry standards, regulations, and internal quality requirements. Stakeholder Management: Collaborate with onshore and offshore teams to ensure alignment with client goals. Work with stakeholders across functions to review, track progress of solutions/initiatives by setting up meetings as needed, following up through emails. Additionally, engage with end customers to ensure their requirements are addressed and they are appraised of the status of the solutions/initiatives thereby ensuring zero escalation. Education, Work Experience, & Knowledge: 12+ years of experience in similar industry. Advanced proficiency in Excel and PowerPoint, including the ability to build and automate macros. Experience with PowerBI or Tableau for data visualization and reporting. Specific experience with JIRA is a plus. Experience effectively visualizing operationally-focused data to tell a story. Strong verbal and written communication skills.

Location: Bengaluru Designation: Consultant Y our potential, unleashed. The Team Deloitte s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. About the Role: We are seeking experienced and business-focused professionals to join our Customer Strategy & Design team . This role involves leveraging advanced analytics, statistical modeling, machine learning, and data-driven engineering practices to address complex business challenges, generate actionable insights, and drive measurable impact for our clients. Key Responsibilities: Design, develop, and deploy scalable analytical and machine learning solutions to solve real-world business problems Conduct exploratory data analysis to uncover trends, patterns, and opportunities Build predictive and prescriptive models, including classification, regression, clustering, recommendation, and forecasting Develop and maintain robust data processing pipelines for analytical readiness Translate business needs into analytical frameworks and present findings in a clear, compelling manner for non-technical stakeholders Collaborate with cross-functional teams, including analytics specialists, data engineers, business analysts, and product owners Required Skills & Qualifications: 4+ years of hands-on experience in advanced analytics, machine learning, and/or large-scale data processing Strong programming skills in Python/R with experience using ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch) Proficiency in SQL, data wrangling, and working with large, complex datasets Strong statistical grounding, including A/B testing and hypothesis testing Cloud platform expertise (GCP preferred; AWS/Azure acceptable) Excellent communication, storytelling, and stakeholder engagement abilities Experience in consulting or working with global client teams is a strong advantage Solid academic background in quantitative disciplines (Mathematics, Statistics, Computer Science, Engineering) Additional Notes: Initial assignment will require working in PST hours from the Bellandur office Future projects may align with standard Indian business hours How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you.

How will you make an impact in this role With a focus on digitization, innovation, and analytics, the Enterprise Digital teams creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of Enterprise Digital Teams is the integration of diverse skills across all its remit. Enterprise Digital Teams has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The American Express Enterprise Digital Center of Excellence (ED COE) leads the Enterprise Product Analytics and Experimentation charter for Brand Performance Marketing and Digital Acquisition Membership experiences as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels evolve our digital experiences with actionable insights analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. About this Role: This role will report to the Manager of International Acquisition experience analytics team within Enterprise Digital COE (ED COE) and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our Digital Acquisition Experiences across International Markets (Shop, Apply, GO2 etc) Deliver strategic analytics focused on Digital Acquisition experiences across International Markets aimed at optimizing our Customer experiences Define and build key KPIs to monitor the acquisition journey performance and success Support the development of new products and capabilities Deliver read out of experiments uncovering insights and learnings that can be utilized to further optimize the customer journey Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data Minimum Qualifications Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. Preferred Qualifications Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation hypothesis testing, regression, t-test, chi-square test.

We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, youll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location. Youll Make a Difference By: o Collaborat ing with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems . o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Explor ing and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets . o Develop ing predictive/prescriptive models, algorithms, and prototypes to support business. o H av ing working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Perform ing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization , REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AI Youll Win Us Over If You Have: o Advanced degree (Master's or Ph.D.) in a quantitative field such as Data Science, Computer Science, or Statistics, or Bachelors degree (BE. BTech, BS) with demonstrated equivalent practical experience. o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. oA masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field . oStrong programming skills in languages such as Python . oExposure to the industrial engineering domain is preferred. oKnowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. oProficient in the use of data science tools . oA collaborative, team-oriented attitude with a proactive mindset .

Role Description Role Description: As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Develop and deploy AI/ML and Deep Learning models Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders Work on NLP techniques Build predictive analytics and optimization pipelines Perform exploratory data analysis (EDA) Required Candidate profile Strong proficiency in Python 3–4 years of hands-on experience in AI/ML model development Expertise in Deep Learning architectures (CNN) Solid background in statistical analysis Strong knowledge of SQL

Role Description: As a Senior Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Lead and manage a team of professionals to achieve organizational goals. Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management. Qualifications 8-10 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, youll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location. Youll Make a Difference By: o Collaborat ing with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems . o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Explor ing and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets . o Develop ing predictive/prescriptive models, algorithms, and prototypes to support business. o H av ing working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Perform ing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization , REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AI Youll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record . o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field . o Strong programming skills in languages such as Python . o Exposure to the industrial engineering domain is preferred. o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. o Proficient in the use of data science tools . o A collaborative, team-oriented attitude with a proactive mindset .

Job Title Lead Analytics Consultant (Data Science) Location Bengaluru (Onsite) Interview Mode- Video Duration: 6 Months Contract to hire Position Overview Job Responsibilities Develop clear, concise, actionable solutions and recommendations for Clients business needs. Work with complex data files and develop initial understanding on data files Undertake exploratory data analysis to derive initial findings and create hypothesis Work on problem specific data models Undertake hands on work on data analytics, model development and testing and preparing the data files for visualization platforms Undertake business analysis on the data and provide insights Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models Work hands-on across various analytics problems and provide thought leadership on problems Interact with other stakeholders (Data engineers, BI specialists, offsite team, client teams) on daily/weekly basis to gather requirements/ provide updates Requirements & Qualifications: 4-7 years of experience of in data science domain working across a variety of industries Graduation or Post graduation in Statistics, Mathematics, Management etc. Strong CPG domain knowledge Have exposure to CPG marketing analytics Trade (ATL/BTL), Digital, Traditional Ability to think open ended/unstructured problem solving Good understanding of statistics along with analysis techniques like Correlation, Regression, Hypothesis Testing, Basic Time Series Forecasting etc. Excellent Data Wrangling using Excel, Python basics (good to have) Hands on experience on SQL, Python coding Strong logical, analytical, and problem-solving skills Adept at writing reports, making PowerPoint presentations to present findings Excellent verbal and written communication skills along with experience of client facing roles

Whats the role The ideal candidate is passionate about delivering commercial value and insights through Mobility data analytics. This role is for Loyalty team CRM team We help the business teams answer some of the following questions: Creating integrated measurement framework for Loyalty CRM Program Deliver various levels of profiling analysis/Diagnostic Analysis to identify quick wins like leaky bucket analysis, Category deep dive analysis etc., to accelerate Active Customers, arrest churn etc., How to acquire more Loyalty customers and increase the ROI of Loyalty CRM business Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic & operational questions from different stakeholders and structurally answer them with data driven insights. Incumbent is responsible for working on a range of technologies and tools collaborating directly with the multiple stakeholders & other Data engineering team. What youll be doing Provide deep expertise in Data Analytics for Mobility/CPG businesses and business consulting: Understanding Mobility KPIs, benchmarking analysis, evaluating impact of business initiatives on profits, A/B testing, Hypothesis testing, pre-post campaign analysis Developing tools and approaches to monitor the performance of Loyalty CRM customers. Ability to convert business problem to analytical problem along with Strategic thinking and business story telling. Apart from the above also support the Mobility Loyalty CRM teams in: Identifying the right group of customers for targeting certain Promotions by identifying trends and patterns in Loyalty customers Should have strong story telling skillsAbility to explain complex data and models to business teams. Should have strong data presentation and data interpretation skills. Working collaboratively across multiple sets of stakeholders business SMEs, IT, Data teams, Analytics resources to deliver on project deliverables and tasks. Identify actionable insights that directly address Mobility Teams challenges / opportunities. Articulate business insights and recommendations to respective stakeholders. Understanding business KPI's, frameworks and drivers for performance. What you bring At least 5-7 years of relevant experience in Retail Analytics Bachelors Degree in Economics, Statistics or any related Very Strong experience in specialized analytics tools and technologies (including, but not limited to: SQL, MS-Excel Power BI, or other visualization tools, Power Automation Python, Alteryx (good to have) Preferred experience in Customer, Loyalty & CRM analytics, CPG or E-commerce Experienced in Statistical analysisData Quality Analysis, Exploratory data analysis, Hypothesis testing, Univariate / Multivariate Analysis. Good interpersonal communication skills and influencing skills. Eagerness to learn and ability to work with limited supervision. Identify the right approach(es) for given scenario and articulate why the approach fits.

Engineer ML About the role The mission of the team is to transform terabytes of data into robust models for improving Network Experience and Customer Experience and reducing Operational Expenditure. Candidate will be required to understand the different Datasets being supplied from different sources and design a production grade big data architecture for Reporting and Analytics Platform. He will be involved in developing in-house algorithms as per Business Requirements. He will also be involved in vendor reviews of solution designs and related code on the principle of adherence to high-quality development principles while delivering solutions on time and on budget. Key Responsibilities Develop best quality software design and Big Data architecture for a Product that is being migrated to Big Data Platform from MYSQL based architecture. This product is spread across dimensions of big data, analytics, machine learning, graph problems, etc. The person is responsible to design and develop systems that use machine learning, or AI, to build models that can automate processes. They use data to create models, perform statistical analysis, and train systems to improve performance. Identify, prioritize and execute tasks in the software development life cycle. Develop tools and applications by producing clean, efficient code, automate tasks through appropriate tools and scripting. Review and debug code and perform validation and verification testing Collaborate with internal teams and external vendors to fix and improve current Architecture that helps to improve software development process and team productivity. Document development phases and monitor systems. Guide daily DevOps and ensure timely hardware expansions or architecture revamp. Provide statistical analysis to develop, test, and optimize databases to their full potential. Ensure software is up-to-date with latest technologies. Review Vendor Codes and solution designs for on-time deployment. Experience & Skills Must have experience in Machine Learning and experience in machine learning frameworks like TensorFlow or PyTorch. Knowledge of selected programming languages (e.g. Python, JAVA, Scala Python, C++) In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB or Hadoop) Hands-on experience working with Big Data technologies like Hadoop, MongodB, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Extensive experience in software design, development and scripting. Experience with real-time streaming tools like Apache Kafka and NiFi is a plus. Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project. ( Spark, Kafka, Kstream/Flink) Very strong analytical skills with the demonstrated ability to research & make decisions based on the day-to-day and complex customer problems Understanding of HTTP and RESTful web services is a plus Experience with version control tools (SVN or Git). Educational Qualifications: Bachelor's or Master's Degree in Computer Science or related field; or equivalent related professional experience Work Experience: 1-7 years of total experience preferably in Big Data

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Data Analyst, your main responsibility will involve working with raw survey data to ensure accurate data cleaning, transformation, and validation. You will be required to segment and profile respondents based on various attributes such as age, organization type, and other relevant factors. Maintaining strict data quality controls and documenting all preprocessing steps will be crucial aspects of your role. In addition to data preparation and management, you will also be responsible for performing both descriptive and inferential statistical analyses to extract meaningful insights from the data. This will involve calculating and interpreting percentage variations between original and clubbed data formats, as well as identifying relationships between variables based on predefined hypotheses (H1, H2, H3, H4). You will be expected to conduct hypothesis testing to evaluate each hypothesis, reporting significance levels (e.g., p-values at 0.05 threshold), effect sizes, and explained variance percentages. Tabulated outputs for easy reporting of the results will also be part of your responsibilities. Furthermore, you will be involved in exploratory factor analysis (EFA) to assess sample adequacy, identify factors with loadings > 0.4, and ensure convergent and discriminant validity. Presenting EFA results in detailed tables will be essential for reporting purposes. As part of your role, you will also need to validate constructs identified in EFA through confirmatory factor analysis (CFA). Ensuring model fitness using industry-standard thresholds for fit indices such as /df, CFI, SRMR, RMSEA, and PClose will be key. Calculating and reporting Composite Reliability (CR) and Average Variance Extracted (AVE) will also be required. Additionally, you will be responsible for developing, running, and interpreting structured equation models (SEM) in AMOS 26. Presenting model fit statistics, structural path significance, and creating publication-quality tables and figures of SEM output will be part of your tasks. Conducting mediation analysis to assess indirect effects, performing moderation and multi-group analysis, and presenting all results in tabular and graphical form will also be important aspects of your role. Testing for Common Method Bias (CMB) and verifying multicollinearity absence via Variance Inflation Factors (VIFs) will be essential for ensuring the validity of the analyses. In terms of deliverables, you will be expected to provide finalized datasets with preprocessing documentation, detailed statistical output tables and figures, and an appendix with model diagrams, factor loadings, and fit indices. Additionally, a written interpretation of all results aligned with the hypothesis model will be required. To excel in this role, you should have a Masters or PhD in Statistics, Data Science, Market Research, Psychology, or a related field. Advanced proficiency in statistical tools such as SPSS 25 and AMOS 26 is essential. Strong experience in EFA, CFA, SEM, mediation, moderation, and multi-group analysis is also required. Knowledge of validity, reliability testing, and bias minimization techniques, as well as the ability to communicate complex statistical results clearly, will be beneficial. Preferred qualifications include previous experience in academic, social science, or market research analysis, familiarity with reporting for peer-reviewed journals or client-ready whitepapers, and experience in advanced sampling adequacy tests and bootstrapping techniques. Your performance will be evaluated based on the accuracy and completeness of statistical outputs, timeliness of deliverables, clarity and quality of result interpretation, and compliance with client-specified analysis frameworks and reporting formats. This is a contractual/temporary freelance position with a contract length of 1 month. The work location is in person.,

You will be joining our team in Nagpur as a Senior Data Analyst, where you will utilize your strong analytical skills and passion for data storytelling to deliver impactful insights to our clients. Your role will involve leading data projects, mentoring junior analysts, and collaborating closely with clients to understand their needs and provide tailored solutions. Your key responsibilities will include designing, executing, and delivering analytics projects, conducting in-depth analyses to identify trends and patterns, developing dashboards and reports for decision-making, and translating business questions into analytical solutions. You will also ensure data quality and compliance, mentor junior analysts, and work with cross-functional teams to integrate analytics into business workflows. To qualify for this position, you should have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, along with at least 4 years of professional experience in data analytics, preferably in consulting or business intelligence. Proficiency in SQL and a programming language like Python or R is required, as well as experience with data visualization tools such as Power BI, Tableau, or Looker. A solid understanding of statistical analysis, hypothesis testing, and predictive modeling is essential, along with excellent communication and presentation skills. Preferred qualifications include experience in sports analytics or business analytics for enterprises, knowledge of cloud-based data platforms like Snowflake, BigQuery, or AWS Redshift, and familiarity with ETL processes and data pipeline development. In return, we offer a competitive salary, diverse project opportunities, a collaborative work culture, and professional growth and learning prospects. If you meet the requirements and are interested in this position, please send your resume and a brief cover letter to shreyas@gibbous.io with the subject line: Application Senior Data Analyst (Nagpur). This is a full-time position based in Nagpur, Maharashtra, and requires in-person work.,

The TradeFinder Quant Analyst position based in Mumbai, India, falls under the Group Strategic Analytics (GSA) team at Deutsche Bank. The GSA team plays a crucial role in integrating analytics and technology across various units of the bank, including Investment Bank, Corporate Bank, and Risk and Control functions. The team focuses on developing a scalable and flexible Front Office pricing and risk management system that ensures consistency in analytics and technology platform to prevent arbitrage within the bank. As a TradeFinder Quant Analyst, your key responsibilities will include collaborating with global teams on quantitative and regulatory projects, understanding business problems, providing optimized solutions on a scalable platform, and implementing projects using Python and C++ programming languages. Effective communication with stakeholders worldwide is essential for the successful execution of projects. The ideal candidate will have a strong educational background in Engineering/Science, Economics, Statistics, or a related numerate discipline from reputable institutions like IIT or NIT. Proficiency in financial instruments, pricing models, and risk models is required, along with experience in applied econometrics. Certification courses such as CFA, FRM, or CQF will be advantageous. Candidates should have at least 3 years of programming experience in Python/C++ with a good understanding of Object-Oriented Programming concepts. Strong analytical skills, problem-solving instincts, and excellent communication abilities are essential for this role. The ability to work independently or collaboratively within multidisciplinary teams is crucial, along with a proactive approach to continuous learning and skill development. Deutsche Bank offers a supportive work environment with training, coaching, and flexible benefits to help employees excel in their careers. The company promotes a culture of empowerment, responsibility, commercial thinking, and collaboration to drive success. Diversity and inclusivity are valued, creating a positive and fair work environment for all employees. For more information about Deutsche Bank and its values, please visit the company website at https://www.db.com/company/company.htm. Join Deutsche Bank Group to be part of a team that strives for excellence and celebrates the successes of its people.,