53 Regression Analysis Jobs - Page 2

Select with space bar to view the full contents of the job information. Senior Manager - Multimodal AI Research Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Manager - Multimodal AI Research Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. This is an opportunity to play a key role in Dolbys new R&D Center in Bangalore as a Senior Research Manager in our Advanced Technology Group " ATG ", the research and technology arm of Dolby Labs. With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research. What you ll do: As a Senior Research Manager within Dolby ATG research, you will focus on three key areas of expertise: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies. With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation. You will create technologies for the next generation of Dolby s offerings. Managing, nurturing, and grooming top research talent: You will lead and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment. Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere. Technology strategy and direction setting: You will define and lead research initiatives that leverage cross-media intelligence and analytics, invent multimodal machine learning algorithms, and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies. Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby s cloud and licensing business. You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation. You will also work with Dolby s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide. Education and desired experience Ph.D. plus 5-10 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science with a strong focus on AI. You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Multimodal architectures and algorithms. You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies. You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms. Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment. Strong publication record , with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML, etc.). Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis. Experience with audio and video processing is a plus. Highly skilled in C/C++, Python, TensorFlow or PyTorch. managing, guiding and mentoring younger researchers. Team-oriented work ethic and interest to work in cross-continental teams. Excellent communication, collaboration, and presentation skills in English. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding

The Order Performance, Trust, Analytics & Experiences (OPTANE) team seeks a Business Analyst to drive strategic economic impact analysis of our marketplace quality initiatives. In this role, you will quantify how OPTANEs seller performance standards, enforcement actions, and trust-building mechanisms/initiatives create business value through improved customer experience, reduced defect rates, and enhanced marketplace health. Working directly with the Senior Program Manager, you will develop scalable frameworks to measure and communicate the impact of our teams decisions on Amazons marketplace performance and seller ecosystem. Your role will focus on translating complex operational metrics into clear economic value propositions, enabling data-driven decision-making at all levels of the organization. Strategic Business Impact Analysis & Investment Planning * Support P&L impact analysis of Order Performance initiatives, connecting seller performance metrics to business outcomes * Assist in developing business cases and scenario models for strategic investments * Help create executive-ready analyses translating operational metrics into clear financial narratives Trust & Performance Analytics * Develop attribution and predictive models connecting seller performance to customer behavior metrics * Analyze relationships between performance standards and customer confidence across seller segments and regions * Support development of risk assessment and opportunity sizing frameworks for policy changes and enforcement strategies Marketplace Health Measurement * Help implement measurement frameworks for evaluating performance standards impact on marketplace health (revenue, selection) * Analyze economic trade-offs between immediate metrics and long-term sustainability * Measure effectiveness of seller improvement programs through data-driven analysis Impact Measurement Framework Development * Support development of self-serve measurement tools for OPTANE teams * Help create automated valuation models that scale with business needs * Contribute to documentation and knowledge transfer systems * Assist in implementing Gen AI and machine learning solutions for opportunity identification A day in the life Your day typically begins with the team standup where you align on key analytics priorities and ongoing projects. The morning might continue with deep-dive analytical sessions to study marketplace performance data and build impact models. Youll collaborate with the Economics team to analyze patterns between seller metrics and customer behavior, working together to identify key trends and insights. Your day includes partnering with Finance teams to develop business impact assessments and with Data Science teams to build and refine prediction models. Youll spend time creating visualizations and dashboards to communicate findings for upcoming business reviews. Between collaborative sessions, youll focus on documenting analysis methodologies and updating measurement frameworks. You might connect with global teams to incorporate regional perspectives into your analysis, then wrap up by working on automation improvements before heading out to enjoy your evening! 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Strong proficiency in statistical analysis and modeling (R, Python) Experience with regression analysis and correlation modeling Knowledge of financial modeling and P&L analysis Familiarity with machine learning concepts Proficiency in SQL and database querying 3+ years experience in quantitative analysis roles Masters degree in related field Experience in e-commerce analytics Knowledge of causal inference Experience with Amazons internal tools

Economist Impact combines the rigour of a think-tank with the creativity of a media brand to engage a globally influential audience. We believe that evidence-based insights can open debate, broaden perspectives and catalyse progress. Economist Impact s Policy & Insights team combines qualitative and quantitative research techniques to generate new insights to support the marketing and communications objectives of businesses, governments and international organisations. The role of Analyst, Policy & Insights plays a critical role in the delivery of Economist Impact sponsored thought leadership research programmes. Analysts work with qualitative and quantitative research methods, analyse data and develop research findings, and write in clear, Economist-style, jargon-free prose. A successful Analyst has a keen interest in global policy, business and economic issues and a natural intellectual curiosity, is well organized and efficient, has strong analytical and critical thinking skills, and strong written and oral communication skills. Economist Impact s thought leadership work has four core areas of expertise - Health, Trade & Geopolitics, Tech & Innovation and Sustainability & Energy. Analysts typically work across thematic areas but in some instances we recruit Analysts with demonstrated education or work experience that aligns with these expertise areas. How you will contribute As an Analyst, your primary focus will be supporting senior Impact experts and content leads to produce and deliver high quality research and content for sponsored research programmes. Produce high quality research analysis utilizing qualitative and quantitative methodologies. Undertake desk-research, literature reviews and rapid evidence assessments. Undertake qualitative interviews with experts and produce interview summaries and key findings. Undertake structured analysis of survey results, including descriptive statistics, cross-tabulation and, in some instances, regression analysis. Produce initial drafts of research findings, report and article outlines, and infographics. Contribute to writing and editing research outputs, including reports, briefing papers, articles and infographics. Support with report production including reference checking, chart and data visualization creation. The desirable skills, experience and qualifications for this role include: Two years or more of research, consulting or journalist experience Strong written and verbal communication skills, including ability to translate complex research and analysis into clear and jargon-free prose highlighting key findings and policy analysis Strong data and policy analysis skills with experience working with both qualitative and quantitative research methodologies; ability resolve complex and unfamiliar problems in a timely manner Comfortable with client interaction and interest in building relationships Strong interpersonal skills to create easy working relationships with clients, partners and the internal team Extremely well-organized with a proven ability to meet deadlines under pressure Detail oriented and analytical Energy and desire to grow as part of a highly entrepreneurial team #LI- Hybrid What we offer Benefits We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Groups purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness

Your role The Lodging Payments Group is seeking a detail-oriented, intellectually curious Data Analyst with 1 to 4 years of experience to join our team. The ideal candidate will have strong problem-solving skills, proficiency in data analysis tools, and the ability to translate complex data into actionable insights, including customer behavior and trend insights and forecasts of volume and revenue. The role will report to the Manager, Financial Planning & Analysis (FP&A). What youll be doing Responsibilities Collaborate with cross-functional teams to understand their data needs and provide solutions. Establish and execute a regular reporting cadence of key financial and performance metrics Together with the Data Analyst: Collect, analyze and communicate data from various source systems to support business decisions. Identify trends, patterns, and anomalies in data sets. Develop and maintain databases, data systems, and data analytics tools. Create and present detailed reports and dashboards to stakeholders. Monitor data quality and ensure data integrity. Requirements Bachelor s (or equivalent) degree in Economics, Finance or Accounting. Degrees in Data Science, Statistics, Computer Science, or a related field will be considered, provided the candidate has a strong working knowledge of financial concepts, including investment, return, forecast accuracy, and understands the relationships across financial statements. Master s Degree is a plus. 4 to 7 years of experience in data analysis or a related role. Strong analytical skills and attention to detail. Excellent communication skills, both written and verbal. Ability to work independently and collaboratively in a team environment. Strong working knowledge of and proficiency in Microsoft Excel, including INDEXMATCH, V/H/XLOOKUP and SUMIF(S), among others Proficiency in data analysis tools such as SQL, Python, R, or equivalent tools to enable working with large data sets is a plus, but not required. Preferred Qualifications Working knowledge of regression analysis (to use for forecasting future volumes at a customer level for up to 18 months) Experience with data visualization tools such as Tableau or Power BI is a plus. About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpays Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CVs from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

Some careers have more impact than others. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President - Decision Sciences Principal responsibilities This role should lead in delivering at least one of the following key wholesale risk model engagements: Development, validation, and maintenance of Regulatory credit risk models including PD, LGD, RWA for wholesale clients. Development, validation, and maintenance of Wholesale Economic response models (Stress Testing, IFRS9) including PD, LGD, ECL for wholesale clients. Expectation is to demonstrate an expertise in highly technical areas (e.g. statistical regression analysis, statistical model builds of PD, LGD and EAD models), as well as a deep understanding of the Wholesale business environment and its associated credit products. Knowledge and understanding of wholesale portfolio risk drivers, their use and impact on capital requirements; knowledge of regulatory capital and its components. Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers. Follow the global model standards when supporting model development, validation, and monitoring. Developing a good understanding of risk data flows from customer and product systems through to the finance and regulatory reporting systems Translating and presenting technical work into more acceptable form in order to get the stakeholders buy-in. Requirements Relevant analytics experience in banking domain / IFRS9 risk analytics/ Stress testing Good exposure to credit model methodologies data requirement for Stress Testing models, AIRB and IFRS 9 modelling Knowledge of AIRB/IFRS9 PD, LGD or EAD credit model development would be a plus Decent understanding and interpretation of regulatory rules Strong coding skills in Python, R, SAS, Matlab, SQL etc. would be essential. Certifications like FRM, CQF or SCR will be preferable.

As a Manager, Fellowship Impact, on the Strategy and Impact team: Analyzes and reports students learning outcomes and Fellows inputs every reflective cycle to understand our impact in the short and long term. Facilitates learning loops with key stakeholders (eg: Regional, Training and Impact, Selection and Alumni teams and Senior Leadership team) to enhance their understanding of impact, drive data-driven goals, foster reflection, and inform program improvements. Designs tools and systems for ongoing M&E through the academic year and captures growth at different points in the year via dipstick assessment data tracking and representation, in collaboration with the Training and Impact team. Conceptualizes, pilots and collaborates with the Technology and Training & Impact teams to digitize M&E systems and processes related to the Fellowship program. Predicts and analyzes the strength of the program across multiple variables and contexts. As a Manager at Teach For India Contributing to the team goals and priorities beyond individual goals and priorities. Serving as an ambassador of the Teach For India brand and an advocate for our work and educational equity in our country through both internal and external communication after committing time in our classrooms to understand our work more deeply. Supporting key organizational areas such as Recruitment, Selection, Fundraising, Volunteering, and Movement Building.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. & Summary Sr Manager_Data Science s Key Responsibilities Collaborate with clients to understand their business needs and provide datadriven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decisionmaking. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. Technical Skills Programming Languages Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks Extensive experience with TensorFlow, PyTorch, and Scikitlearn for building and deploying models. Data Visualization Tools Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control Experience with Git for collaborative development and code management. APIs and Web Services Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning ValueAdded Experience Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformerbased architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field 9+ years of relevant experience in data science and machine learning Strong analytical and problemsolving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Mandatory skill sets Data Science Preferred skill sets Data Science Years of experience required 9+ Education qualification BE/BTech/MBA/MCA Education Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 26 more} No

GSK is one of the worlds preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Insights & Analytics team applies advanced Decision Science capabilities to drive innovation, augment decision making, and allows us to better serve our patients, healthcare professionals, and consumers. Key Responsibilities: Develop queries and reports/dashboards to support enterprise Omnichannel execution Use statistical methods, such as Cluster Analysis, Regression analysis and appropriate predictive models to measure impact of programs /campaigns. Apply business acumen to identify and quantify trend shifts in Omnichannel execution Use statistical and ML models to predict trends within Omnichannel for enhanced decision making. Maintain notebooks through clear and thorough documentation. Support ad-hoc deliverables. Develop PowerPoint Presentations to present to team members and document major projects to enable knowledge transfer. Collaborate effectively with team members to identify opportunities for enhancement to existing processes. Manage stakeholder expectations through timely responses and transparent and clear expectations. Basic Qualifications: bachelors degree in Engineering, Statistics or a comparable quantitative field, and 10+ years of experience in pharmaceutical analytics. Expertise in US Pharma databases (Xponent, Anonymized Patient Longitudinal Data, LAAD) Proficiency in Python & SQL Ability to work independently and prioritize effectively. Mentoring team members, as needed. Preferred Qualifications: 10+ years of experience in developing ML models Familiarity with emerging GenAI capabilities Good written and oral communication skills Certification in Data Science Skills Computer Programming, Data Analysis, Data Governance, Data Integration, Data Loading, Performance Tuning, Structured Query Language (SQL)

Prior Experience in Demand Planning/Forecasting in Product Based/Consultancy organizations. Statistical Forecasting techniques (Time series, Holts Winter, Regression analysis, ARIMA, ARIMAX etc.) Good communication and presentation skills. R /Python, Machine Learning Techniques (Random Forest/Decision Trees, Deep Learning). Visualization skills: Power BI/Tableau would be preferable. Database: MS SQL/Oracle SQL. Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage. Ability to design analytics solutions, simulation, and modelling to address business problems.

Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a highly analytical and detail-oriented Data Scientist to join our Data Quality Management team. This role will focus on ensuring the accuracy, completeness, and reliability of data ingested from SAP systems and logistics carriers. You will play a critical role in enhancing the integrity of our transportation visibility platform by identifying data issues, implementing quality controls, and collaborating with cross-functional teams to resolve data discrepancies. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Design and implement data quality frameworks and monitoring systems for SAP and carrier data pipelines. Analyze large datasets to detect anomalies, inconsistencies, and gaps in data quality. Experience working on TransVoyant. Develop automated data validation and cleansing routines using Python, SQL, and other tools . Create dashboards and reports to communicate data quality metrics and trends. Collaborate with functional experts, business analysts, and domain experts to understand data flows and business rules. Work closely with Logistics operations, business units, SAP data entry functions, and carrier integration partners to resolve data issues at the source.Contribute to the development of data governance policies and best practices. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or master s degree in data science, Computer Science, Information Systems, or a related field.5+ years of experience in data science, data engineering, or data quality roles. Strong experience working with SAP data structures (e.g., SD, MM, WM modules) and carrier logistics data (e.g., EDI, shipment tracking). Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau).Experience with real-time data processing and streaming technologies.Knowledge and experience with SQL and cloud database systems such as AWS or CGP Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Able to identify trends, patterns, and outliers in logistics data and form insights and recommendations.Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously Excellent attention to detail, problem-solving, organizational and prioritization skills.Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus

Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience : 1 to 3 years of relevant experience in data analysis. Should have 2 years of experience in SQL. Product Company background and startup experience is a plus. Education : A full time Bachelors degree from a recognised university.

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives. Job Description: Job Description Summary We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 10+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs.

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives. Job Description: Job Description Summary We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 10+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives. Job Description: Job Description Summary We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 10+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description We are seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models and data-driven techniques. Key Responsibilities: Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.). Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels. Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights. Build predictive models to forecast the impact of future marketing activities and recommend budget allocation. Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement. Ensure data integrity, accuracy, and consistency in all analyses and models. Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science. Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration. Create and maintain documentation for all models, methodologies, and analysis processes. Qualifications Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related field. Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics.

We are seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models and data-driven techniques. Key Responsibilities: Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.). Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels. Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights. Build predictive models to forecast the impact of future marketing activities and recommend budget allocation. Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement. Ensure data integrity, accuracy, and consistency in all analyses and models. Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science. Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration. Create and maintain documentation for all models, methodologies, and analysis processes. Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related field. Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics. Strong proficiency in stati

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. This position requires a deep understanding of machine learning model behavior, strong attention to detail, and a passion for building high-quality AI systems. We are seeking a Model QA Engineer with hands-on experience in evaluating real-time speech and language models. In this role, you ll act as the first line of defense for ensuring the performance, stability, and reliability of our deployed AI systems. You ll work closely with Machine Learning Researchers, Data Analysts, and Product Managers to detect regressions, surface edge cases, and deliver actionable insights that help shape future models. Key Responsibilities: Conduct end-to-end evaluation of ML models through structured listening tests, regression analysis, and failure case identification Analyze customer call recordings to replicate issues and validate model behavior across different environments and configurations Participate in internal dogfooding, model AB testing, and cross-version comparisons with clear documentation of findings Collaborate with research teams to debug, interpret and report model output anomalies Curate diverse, representative datasets for recurring QA evaluations and benchmarks Maintain quality and consistency in evaluation documentation, ensuring traceability and reproducibility of results Track ongoing model performance and provide timely reports highlighting areas of improvement or risk Assist in QA automation efforts to streamline model evaluation workflows over time Must have qualifications: 2+ years of experience in a QA, Model QA, Speech Evaluation, or ML testing role Familiarity with speech/audio quality concepts (e.g., fidelity, intelligibility, latency, robustness) Experience working with audio listening tools (Audacity, Praat) and evaluation metrics (PESQ, STOI, MOS etc.) Excellent communication skills and the ability to write structured, actionable feedback for technical teams Proven ability to identify subtle performance issues in AI model outputs Comfortable working with large datasets (CSV, JSON) and using tools like Excel, Google Sheets or Python for analysis Highly detail-oriented with a proactive and investigative mindset Preferred qualifications: Background in linguistics, phonetics, audio engineering, or speech science Experience working in cross-functional ML product teams Exposure to ASR, TTS, or real-time audio systemsFamiliarity with tools like Git, Jira, Notion, or Confluence Understanding of ML model deployment cycles and CI/CD pipelines Prior experience with annotation platforms or feedback loop systems for ML models Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Description As a Business Analysis Associate I within the Operations Performance Management team, you will play a pivotal role in generating analytical insights that significantly influence the financial performance of the Collections organization across Card, Overdraft, and Auto lines of business. You will develop comprehensive data expertise to support cross-line performance monitoring and analysis, forge strong partnerships with key stakeholders, and utilize your understanding of data to craft compelling business narratives that drive decisions and strategic direction. Job Responsibilities Support daily operations and tasks related to specific functional areas or business partners. Create business review decks, weekly updates, and ad-hoc communications for presentation to senior leaders and team members. Ensure projects are completed within established timelines. Participate in cross-functional teams to drive initiatives. Assemble data, build reports/dashboards, and provide innovative solutions for business partners. Identify risks and opportunities, proposing solutions to unlock value. Required Qualifications, Capabilities, and Skills Over 5 years of professional experience in business and relevant MIS/Technology roles. Strong understanding of business operations and procedures, with the ability to connect them to business fundamentals. Proficiency in sourcing data from multiple locations, integrating them, and providing actionable information for reporting or analysis. Eagerness to learn and adapt to new technologies. Open-mindedness to diverse perspectives. Ability to anticipate and resolve customer and general issues with urgency. Expertise in using advanced statistical tools, such as regression analysis and interpreting correlation coefficients. Ability to interpret business trends, propose solutions to improve them, and identify gaps with recommendations. Knowledge to incorporate other business areas in analysis and solutions, such as inventory, strategy, and contact management. Experience in reporting and data analysis development, with the ability to meet strict deadlines. Strong proficiency in SAS, Alteryx, SQL, and advanced Excel. Preferred Qualifications, Capabilities, and Skills Prior experience in Collections Operations is preferred. Bachelors degree or equivalent is required.

Our Data Analysts use data to build the best customer experiences and love helping to make better business decisions, by using diverse sets of data. We re looking for brilliant minds who find meaning in structured and unstructured data, with business domain expertise to translate commercial goals into data-based deliverables to solve the world s most complex challenges. About our Digital Channels Data Analytics (DCDA) team They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They re responsible for being an expert in digital products and services and partner with our sales and coverage teams. About Corporate Investment Banking (CIB) For more than 170 years we ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20, 000 clients in the world s fastest-growing economies and most active trade corridors. Key Responsibilities Data analysis and visualisation including: Support the development and execution of our data analytics strategy and roadmap. Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer. Translate business challenges into statistical problems and data analysis. Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation. Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems. Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques. Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities. Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service. Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure. Skills and Experience Statistical analysis. Agile project management. Big data management and analytics. Data monetisation. Financial mathematics. Business acumen entry. Emerging technologies. Client experience, behaviours and preferences. Financial services regulatory experience. Data governance and management. About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Recruitment Assessments Some of our roles use assessments to help us understand how suitable you are for the role youve applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www. sc. com/careers www. sc. com/careers 26932

Designation:- Test Engineer Experience Range :- 1-3 Years Must have Primary Skill :- Life Insurance , test case planning and execution , regression analysis , defect testing , bug fixing and good English communication skills. Only candidates from Hyderabad are required. Job Description:- 1. 1-3years of work experience in Life insurance and Life Asia. 2.Ensure successful test case execution maintaining the organizations quality standards. 3.Maintain workplace discipline and adhere to organization standards. 4.Execute the test cases as per test plan. 5.Record defects in Defect Management Tool. 6. Retesting of defects fixed.

We are seeking an experienced Advanced Analytics Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and framework Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

We are seeking an experienced Advanced Analytics Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and framework Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

We are seeking an experienced Advanced Analytics Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and framework Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

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

Our Data Analysts use data to build the best customer experiences and love helping to make better business decisions, by using diverse sets of data. We re looking for brilliant minds who find meaning in structured and unstructured data, with business domain expertise to translate commercial goals into data-based deliverables to solve the world s most complex challenges. About our Digital Channels & Data Analytics (DCDA) team They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They re responsible for being an expert in digital products and services and partner with our sales and coverage teams. About Corporate & Investment Banking (CIB) For more than 170 years we ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20, 000 clients in the world s fastest-growing economies and most active trade corridors. Key Responsibilities Data analysis and visualisation including: Support the development and execution of our data analytics strategy and roadmap. Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer. Translate business challenges into statistical problems and data analysis. Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation. Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems. Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques. Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities. Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service. Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure. Skills and Experience Statistical analysis. Agile project management. Big data management and analytics. Data monetisation. Financial mathematics. Business acumen entry. Emerging technologies. Client experience, behaviours and preferences. Financial services regulatory experience. Data governance and management. About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Recruitment Assessments Some of our roles use assessments to help us understand how suitable you are for the role youve applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www. sc. com/careers www. sc. com/careers 26933