374 Statistical Modeling Jobs - Page 2

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

About the Role: Senior Data Analyst Core Responsibilities: The successful candidate will be responsible for supporting business function teams to analyze and execute ideas and drive initiatives designed to achieve business growth, along with loss mitigation goals. The core responsibilities will include. Orchestrate end-to-end credit-risk analytics: extract bureau + alt-data features, run feature-selection, train models, and then translate those into limit, tenor and approval rules recommendations. Managing Credit risk framework by creating probabilistic loss forecasts using vintagecurve time series progressions, survival-hazard models and Markov chain / Vasicek ECL models. Identification of business opportunities by decomposing acquisition funnels, isolating the reasons for true causal lift through frameworks like T-learner, tree-based segmentation etc. Shape next-gen underwriting stack by crafting strategies for -- score cut-offs, tenor reshaping, limit-increase logic, use of alternate credit data points -- and quantify their P&L impact before rollout Simulate what-if” scenarios and recommend cohort-specific pricing/risk shifts own the data-science storyline in CXOs and board forums, securing green-lights (or kill calls) for high-stakes experiments. Preference and Experience: Working experience as a Data Analyst or Business Data Analyst. Fluency in bureau datapoints, functional knowledge of consumer lending processes (risk/profit economics, RBI digital-lending rules, alternate credit datapoints) Strong command of Python and SQL for large-scale data analysis, plus hands-on experience with any BI dashboards. Knowledge of statistics and experience of using statistical models for analyzing datasets. Able to design experiments, interpret results, and prepare recommendations for C-suite, credit risk teams. Educational Requirements: MBA and a Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or another quantitative discipline.

THE YOUNG WINGS is looking for Visa Specialist to join our dynamic team and embark on a rewarding career journey Visa Application Processing:Receive and review visa applications, ensuring all required documents are submitted Verify the accuracy and completeness of application forms and supporting materials Interviews and Verification:Conduct interviews with visa applicants to assess the purpose of travel and validate information Verify the authenticity of supporting documents provided by applicants Adherence to Immigration Policies:Interpret and apply immigration laws, policies, and regulations in the visa application process Stay updated on changes to immigration policies and communicate updates to relevant stakeholders Communication with Applicants:Communicate with visa applicants to provide information on application status, requirements, and procedures Address inquiries and provide assistance to applicants throughout the visa application process Decision Making:Evaluate visa applications based on established criteria and make informed decisions on approvals or rejections Document and record decisions in the visa processing system Collaboration with Authorities:Collaborate with government agencies, embassies, and consulates to obtain information and support in visa processing Liaise with relevant authorities to resolve complex cases or issues Record Keeping and Reporting:Maintain accurate and detailed records of visa applications and decisions Generate reports on visa application statistics and trends Customer Service:Provide excellent customer service to visa applicants, addressing concerns and ensuring a positive applicant experience Assist in resolving issues related to visa applications and entry requirements Assist clients in visa processing and documentation.

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

Job Description Department: Research & Development Key Responsibilities: Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks. Oversee data strategy, ensuring quality, governance, and security. Build and optimize predictive models to solve business challenges. Collaborate with cross-functional teams to integrate data science workflows with Rustbased microservices and cloud platforms. Mentor and guide the data science team, fostering a culture of continuous learning. Stay updated with the latest advancements in AI/ML and recommend their adoption. Required Skills and Qualifications: Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikitlearn). Expertise in AI/ML algorithms, statistical modeling, and data visualization. Good to have experience with big data tools like Hadoop, Spark, or similar. Knowledge of deploying models in production environments. Strong understanding of data governance and compliance standards. Leadership experience with a focus on team management and innovation. Advanced degree in Data Science, Machine Learning, Statistics, or related field. Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink). Familiarity with graph-based databases like Neo4j or JanusGraph. Knowledge of AutoML,MLops, frameworks and tools. Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

We are seeking a Senior Quantitative Credit Risk Strategist as part of the team. You will work with other analysts, risk managers and leaders to analyze customer characteristics, identify risk differentiators, and recommend underwriting and collections strategies to achieve the risk and return goals. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position. About this role (Responsibilities) Analyze data to identify risk drivers and propose mitigation strategies Work with Data Science team to build and test credit, account management and Collection models Set credit strategy and policy to mitigate risk and drive business growth Improve Collection performance by operational, policy and modeling improvements Set underwriting and account management strategy Collaborate with R+D, Product, and Operations on the test and launch of new features and/or products Skills and Requirements 5+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress

Summary Job Description Summary -Provide analytical support to Novartis key stakeholders to support decision-making processes. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. - Generate reports that supervise product metrics, progress, and KPIs. -This role requires a blend of business insight and technical understanding, enabling you to collaborate with brand teams, marketing teams and all functions to maximize value. -Technical requirements - SQL, Dataiku, Python is a plus About the Role Key Responsibility: Solid understanding of multiple datasets (e. g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : - Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and can-do orientation. - Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. - Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. - Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : - Masters or Bachelor s in STEM - At least 3+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. - Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Job Title: Associate Director/Consulting Manager (based on fitment). Solution Line: Talent Solutions Consulting. Position Type: Full Time. Work Mode: In Office. People Manager Role: Yes. Annual Revenue Responsibility: Yes. Required Education And Certifications Critical For The Role. Full Time Bachelors/ master’s degree in related discipline (HR, Economics, Statistics, Analytics and Business Administration). B. Work Experience. 9+ years of relevant post qualification experience after completion of masters in the area of compensation & benefits, rewards strategy design, job evaluation, incentive design, skill gap analysis, organization restructuring, talent management projects. Relevant pre-MBA experience in the areas we operate, Technical Skills. Advance Excel, Analytics, Data skill (Preferred). R, VBA, Macros, Predictive Analytics, Statistical Modelling, Linear Regression (Desirable). About Aon. Aon plc (NYSE: AON) is the leading global provider of risk management, insurance and reinsurance brokerage, and human capital consulting solutions. We have more than 66,000 colleagues worldwide,. Aon unites to empower results for clients in over 120 countries via innovative and effective risk and people solutions and through industry leading global resources and technical expertise, TALENT SOLUTIONS CONSULTING. Aon's Talent Solutions Consulting practice delivers solutions to help clients build workforces for the digital age. We accelerate organizations from ordinary to the extraordinary with an unmatched combination of global consulting, and integrated talent analytics. We have more than 300 consultants serving India market helping clients with their most complex challenging problems using deep insights and analytics. We are trusted advisors for wide variety of organizations including BSE500 and work with largest set of early-stage technology organizations in the country, Typically, the projects can cut across some or all the areas below:. Large Industry Compensation Benchmarking Surveys, Large Industry Salary Increase Surveys, Productivity Studies Pay for Performance Advisory Assignments, Compensation & Rewards Advisory (including & not restricted to) Pay Design, Pay Structuring, Rewards Strategy, Job Evaluation, Variable Pay & Incentive Design, Talent Advisory (including & not restricted to) Digital Transformation, Organization Design & Organization effectiveness, Performance management, Scorecard Design, Competency and Career Management Design, Job Overview. Our Associate Directors/Consulting Managers are responsible for high-level project delivery and oversight along with client relationship and revenue management. You will manage teams and advise clients at the highest strategic level on both big-picture and tactical matters, We expect to show ownership, accountability, and extreme learning agility. We would love for you to show us depth not only in solution areas but also in your understanding of how client organization function. You will be a part of highly energized team in consulting and depending on projects you will wear different hats ranging from performing complex analytics, wowing our clients, managing small projects to bringing in sales, Key Responsibilities. Project and Client Relationship Management Lead various Organization & Rewards Consulting assignments for Aon India clients especially in the area of organizational effectiveness; this included partnering with clients around HR system design, employee engagement, organization structuring, rewards benchmarking, pay range design, performance management & scorecard cascading.The incumbent would be responsible for leading a solution within the industry vertical in terms of clients, financial and team collaboration and also ensure timely and profitable delivery of the key projects. Manage client projects from start to finish, translating client needs into analysis and design recommendations across topics such as salary structures, total rewards strategies, equity guidelines, career progression guidelines, Thought Leadership To contribute to thought leadership in the industry sector for India with timely articles, white papers, roundtables, client events. The incumbent will contribute to this through content development, research, marketing events and other such activities, Business Development Focuses on client sales opportunities across hunting and farming. Understands client requirements, is able to explain to the client the solutions being proposed and customizes basis feedback. Listens to client problems without trying to force fit solutions, Pre-Sales Support and Solution DesignProvides support in building winning commercial proposals for clients. Plays the role of a team member in building out complex advisory solutions as part of the sales cycle. Ensures clients problem statement is effectively translated into a working solution. Tailors existing solutions to meet client requirements and where required, co-builds new solutions to meet client requirements where applicable, Skills/Competencies Required. Prior Consulting experience preferred, Excellent Communication and interpersonal skills, Strong domain expertise and presentation skills, Understanding of Market trends and economy, Confidence to present and defend methodology / recommendations to Senior Leaders, Leadership experience in terms of mentoring or developing peers and/or junior team members, Ability to work on complex assignments and lead from the front, Ability to work independently and on a team across multiple projects deadline-oriented environment, Track record of success in terms of historical performance rating and/or utilization (billable hours / total hours), Willingness to travelFlexible to long working hours, What We Look For. You bring a strong analytical ability but a ‘people-focused’ approach as well as the ability to see things from an end-user perspective. You will also have:. A strong passion for translating people data into meaningful insights that can ‘tell a story’,. Intermediate to Advanced skillset with MS Excel and other MS office tools, Commitment to ongoing learning, Project & Client Relationship Management. Insights and report quality. Ability to visualize large sets of data and build stories around it, Passion for driving results and focused on outcome and process, Deal with immense ambiguity and navigate oneself from problem to the solution, WHY CHOOSE US. You will get to work with top notch clients across industries, Opportunity to work in a niche segment with the market leaders in the Consulting Industry, Opportunity to work in a team of international professionals across regions, How We Support Our Colleagues. In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self, Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work,. and we are all for it!. Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued, 2556439. Show more Show less

Job Title: Logistics Specialist. The Logistics Analyst is responsible for . About the job (Job Responsibilities). Work closely with the internal stakeholders (viz Supply Chain, Sales, Planning, Customer Service etc) to translate the objectives into parameters for analytical models (Power BI) and reports/dashboards for global and cross-functional use.. Develop and maintain data and analytical models, including data logic and statistical analysis on business performance (incl. KPI’s) across the businesses and functions in an automated way.. Maintain, Monitor, and ensure data quality of the certified / centralized PBI reports.. Provide meaningful insights, which can be used to better understand and improve business performance.. Actively working on standardization and improvements of the certified reporting, dashboarding (Power BI) and related metrics.. Fulfill the information needs across the functions.. Design, develop, test, implement and maintain data models to derive relevant answers from datasets, which may include identification of attributes, exploratory data analysis and predictive analytics.. Supporting role to end users on PBI related questions (e.g. training, problem solving, etc).. Identify new data sources and evaluate emerging technologies for data discovery and analytics.. Cross-Domain Exposure: Gain the opportunity to work across diverse domains such as Supply Chain, Commercial, and Finance, enhancing your understanding of various data landscapes.. Innovation and Implementation: We encourage you to share your ideas and implement solutions using advanced tools and technologies such as Python, Machine Learning (ML), and Natural Language Processing (NLP). Help take Power BI capabilities to the next level.. Improve the full PBI landscape where possible: Fabric, Tenant maintenance, Power Platform utilization, Analytics, CoPilot, PPT integration etc.. [Not translated in selected language]. The position is based in Mumbai, India.. We believe you bring. The role is predominantly concentrated on Supply Chain Management, and the employee must possess experience and knowledge of. Supply Chain Planning. Logistics, Warehouse, Inventory, Freight. Export / Import etc.. Have a bachelor’s or master’s degree in supply chain management, Business Administration or a related field.. Have minimum 3 years of experience with Power BI modelling and reports design.. Strong and applied knowledge on DAX and HANA / Azure/ SQL integration.. Preferably worked with data from SAP and/or BW.. Have strong analytical skills, with proven capabilities in data modelling and data visualization.. Strong knowledge of supply chain processes and relevant legal regulations.. Have relevant experience in the fields of Integrated Supply Chain reporting – Logistics, Planning, Order Management, Customer Service etc. Able to come up with solutions to define business problems by leveraging pattern detection over large datasets and overseeing relationships between diverse systems.. A team player and able to communicate across different businesses, functions, and organizational levels.. Preferably have statistical modelling and machine learning expertise or have interest in data science.. Show more Show less

Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related field or equivalent practical experience.. 5 years of experience in collecting, managing, and synthesizing data sets and information, statistical modeling, data mining, and data analysis.. 5 years of experience in managing projects and defining project scope, goals, and deliverables.. Preferred qualifications:. 2 years of experience in management.. Experience in problem solving and project management with data management, metrics analysis, experiment design and automation.. Experience with classification systems or ranking systems.. Knowledge of product and policy with the ability to communicate across multiple level.. Excellent investigative skills.. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.. In this role, you are responsible for formulating strategies and implementing solutions to drive anti-spam analytics and detection at scale within YouTube. You will work cross-functionally and engage with stakeholders from policy, legal, engineering, data science, ranking and product teams across a variety of community abuse issues. You will ensure users have a safe and a quality community experience on the YouTube Platform. You will be required to do some on-call work on weekends on a rotational basis.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.. Responsibilities. Guide the team to perform investigations and apply advanced statistical methods to large data sets spanning billions of events and thousands of features from diverse data sources across the organization.. Guide team to create and deploy automated solutions for bulk classification of abusive content and behavior using a variety of tools, features and functions.. Collaborate with stakeholders and partners in engineering, product, policy and legal to drive anti-abuse solutions involving and impacting various cross-functional areas.. Formulate practical and long term strategy and goal, and lead analyst teams to cover a wide variety of spam and abuse vectors across YouTube community engagements.. Identify spam trends and techniques to develop and deploy anti-abuse counter measures on a tight schedule.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Summary. ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure. by integrating digitization and technology throughout the lifecycle of infrastructure projects.. About The Role. As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your. responsibilities will include designing and implementing advanced machine learning models, analyzing. complex datasets, and delivering actionable insights to various stakeholders. You will work closely with. cross-functional teams to tackle challenging business problems and drive innovation using advanced. analytics techniques.. Responsibilities. Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.. Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.. Design and implement algorithms for predictive and causal modeling.. Evaluate and fine-tune model performance.. Communicate recommendations based on insights to both technical and non-technical stakeholders.. Requirements. A Ph.D. in computer science, statistics, or a related field. 5+ years of experience in data science. Experience in geospatial data science is an added advantage. Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, and Seaborn); experience with GeoPandas and Shapely is an added advantage. Strong communication and presentation skills. Show more Show less

About us. Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.. Who you will work with. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com. What you’ll do. Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams.. This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation.. Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis. Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time. Assist with research of secondary information to validate data trends. Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate. Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data. Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets. Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members. Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments. Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods. About you. 4-6 years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree. Expertise working with large data sets and proficiency in SQL, Excel. Experience in Python. Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques. Excellent verbal, written, and data visualization skills. Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog. Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.). Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus. Experience with Git and modern software development workflow is a plus. Agile way of working and tools (Jira, Confluence, Miro). What makes us a great place to work. We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents... 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About the Role As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).

Role & responsibilities What we expect from you Degree in a relevant subject Programming skills (Hadoop, Spark, SQL, Python) Prototyping Statistical Modelling Analytical Techniques and Technology Quality Assurance and Testing What you can expect from us We wont just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited.

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Apex Fund Services Position SQL Developer Employment Type: Full Time Location: Pune, India Salary: TBC Work Experience Applicant for this position should have 4+ years working as a SQL developer. Project Overview: The project will use a number of Microsoft SQL Server technologies and include development and maintenance of reports, APIs and other integrations with external financial systems. The successful applicant will liaise with other members of the team and will be expected to work on projects where they are the sole developer as well as part of a team on larger projects. The applicant will report to the SQL Development Manager Ability to understand requirements clearly and communicate technical ideas to both technical stakeholders and business end users. Investigate and resolve issues quickly. Communication with end users. Working closely with other team members to understand business requirements. Complete structure analysis and systematic testing of the data. Skills: Microsoft SQL Server 2016 2022. T-SQL programming (4+ years) experience. Query/Stored Procedure performance tuning. SQL Server Integration Service. SQL Server Reporting Services. Experience in database design. Experience with source control. Knowledge of software engineering life cycle. Previous experience in designing, developing, testing, implementing and supporting software. 3rd Level IT Qualification. SQL MSCA or MSCE preferable. Knowledge of data technologies such as SnowFlake, Airflow, ADF desirable.

Skill Data Science - AI Data Science - ML Minimum Qualification B.Tech/B.E CERTIFICATION No data available Working Language English Job Description Data Analyst with AI/ML expertise responsible for leveraging advanced data analytics, statistical techniques, and machine learning (ML) methodologies to provide actionable insights, optimize business processes, and support data-driven decision-making. The role requires strong collaboration with IT leadership to align analytics initiatives with organizational goals, as well as mentoring junior team members in data analysis and AI/ML practices

We re hiring a Senior AI Engineer to lead the development and deployment of cutting-edge AI systems, with a focus on large language models (LLMs), real-time conversational agents, multimodal intelligence, and multilingual capabilities This role bridges deep ML expertise, system design, and hands-on implementation ideal for someone excited to turn AI innovation into real world product impact You ll work across open-source and commercial models, cloud platforms, and global user contexts to shape the future of AI-driven user experiences *** This is a hybrid position - working 3 days a week from our Bangalore office

We are seeking a highy skied Advanced Anaytics Speciaist to join our dynamic team. The successfu candidate wi be responsibe for everaging advanced anaytics techniques to derive actionabe insights, inform business decisions, and drive strategic initiatives. This roe requires a deep understanding of data anaysis, statistica modeing, machine earning, and data visuaization. In this roe, you wi be responsibe for architecting and deivering AI soutions using cutting-edge technoogies, with a strong focus on foundation modes and arge anguage modes. You wi work cosey with customers, product managers, and deveopment teams to understand business requirements and design custom AI soutions that address compex chaenges. Experience with toos ike Github Copiot, Amazon Code Whisperer etc. is desirabe. Success is our passion, and your accompishments wi refect this, driving your career forward, propeing your team to success, and heping our cients to thrive. Day-to-Day Duties: Proof of Concept (POC) DeveopmentDeveop POCs to vaidate and showcase the feasibiity and effectiveness of the proposed AI soutions. Coaborate with deveopment teams to impement and iterate on POCs, ensuring aignment with customer requirements and expectations. Hep in showcasing the abiity of Gen AI code assistant to refactor/rewrite and document code from one anguage to another, particuary COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowedge SharingDocument soution architectures, design decisions, impementation detais, and essons earned. Create technica documentation, white papers, and best practice guides. Contribute to interna knowedge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the atest trends and advancements in AI, foundation modes, and arge anguage modes. Evauate emerging technoogies, toos, and frameworks to assess their potentia impact on soution design and impementation Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Deveop and impement advanced anaytica modes and agorithms to sove compex business probems. Anayze arge datasets to uncover trends, patterns, and insights that drive business performance. Coaborate with cross-functiona teams to identify key business chaenges and opportunities. Create and maintain data pipeines and workfows to ensure the accuracy and integrity of data. Design and deiver insightfu reports and dashboards to communicate findings to stakehoders. Stay up to date with the atest advancements in anaytics, machine earning, and data science. Provide technica expertise and mentorship to junior team members. QuaificationsBacheor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a reated fied.Proven experience in advanced anaytics, data science, or a simiar roe.Proficiency in programming anguages such as Python, R, or SQL.Experience with data visuaization toos ike Tabeau, Power BI, or simiar. Strong understanding of statistica modeing and machine earning agorithms.Exceent anaytica, probem-soving, and critica thinking skis.Abiity to communicate compex anaytica concepts to non-technica stakehoders.Experience with big data technoogies (e.g., Hadoop, Spark) is a pus. Preferred Skis: Famiiarity with coud-based anaytics patforms (e.g., AWS, Azure). Knowedge of natura anguage processing (NLP) and deep earning techniques. Experience with project management and agie methodoogies Preferred technica and professiona experience Famiiarity with coud-based anaytics patforms (e.g., AWS, Azure). Knowedge of natura anguage processing (NLP) and deep earning techniques. Experience with project management and agie methodoogies

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India Minimum qualifications: Bachelor's degree or equivalent practical experience, 5 years of experience in project management and stakeholder management, Preferred qualifications: MBA or Six Sigma certification, Experience with AI/LLM technologies, Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy, Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau, Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration, Strong executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships, About The Job The Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube These vendors provide support to all YouTube users -viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products, The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time, In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO, As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality, At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world We explore new ideas, solve real problems, and have fun ? and we do it all together, Responsibilities Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis, Identify and leverage synergies across existing and developing programs to maximize business impact Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships, Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps, Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing, Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India Minimum qualifications: Bachelor's degree or equivalent practical experience, 5 years of experience in project management and stakeholder management, Preferred qualifications: MBA or Six Sigma certification, Experience with AI/LLM technologies, Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy, Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau, Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration, Strong executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships, About The Job The Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube These vendors provide support to all YouTube users -viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products, The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time, In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO, As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality, At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world We explore new ideas, solve real problems, and have fun ? and we do it all together, Responsibilities Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis, Identify and leverage synergies across existing and developing programs to maximize business impact Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships, Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps, Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing, Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,