data scientist

data analyst

senior ai scientist

(ind) staff, data scientist Jobs in Mangaluru

(ind) staff, data scientist

data & analytics analyst Jobs in Mangaluru

data & analytics analyst

ind staff data scientist

Walmart Global Tech India

<div>
 Position Summary...
 
 
 
 Job Summary
 
 
 
 As a Staff Data Scientist, you'll have the opportunity to
 
 
 <ul>
 <li>
 Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
 </li>
 <li>
 Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
 </li>
 <li>
 Lead a team of Data Scientists to solve problems in Store operations domain using advanced Machine Learning and Gen AI.
 </li>
 <li>
 Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
 </li>
 <li>
 Build and train AI/ML models for replication for future projects
 </li>
 <li>
 Deploy and maintain the data science solutions
 </li>
 <li>
 Communicate recommendations to business partners and influence future plans based on insights
 
 
 </li>
 </ul>
 What you'll do...
 
 
 
 About The Team
 
 
 
 International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart&rsquo;s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
 </li>
 <li>
 Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products
 </li>
 <li>
 Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
 </li>
 <li>
 Proactive identification of complex business problems that can be solved using advanced ML and Generative AI, finding opportunities and gaps in the current business domain
 </li>
 <li>
 Evaluates proposed business cases for projects and initiatives
 </li>
 <li>
 Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables
 </li>
 <li>
 Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution
 </li>
 <li>
 Quantifies business impact and ensures regular impact measurement of all ML products in the domain.
 </li>
 <li>
 Identifies and reviews model evaluation metrics based on analytical requirements
 </li>
 <li>
 Ensures testing information is documented and maintained by the team
 </li>
 <li>
 Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights
 </li>
 <li>
 Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
 </li>
 <li>
 Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
 </li>
 <li>
 Articulate and present recommendations to business partners and influence plans based on insights
 </li>
 <li>
 Partner and engage with associates in other regions for delivering the best services to customers around the globe
 </li>
 <li>
 Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions.
 </li>
 <li>
 Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
 </li>
 <li>
 Proactively engages in the external community to build Walmart's brand and learn more about industry practices
 </li>
 <li>
 Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Bachelor's with &gt; 10 years /Masters &gt; 8 years /Ph.D. in Comp Science/Statistics/Mathematics/Quantitative discipline with &gt; 5 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
 </li>
 <li>
 Ability to lead data science projects end to end.
 </li>
 <li>
 Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models.
 </li>
 <li>
 Experience in analyzing complex problems and translating them into analytical solutions.
 </li>
 <li>
 Strong experience in Computer Vision, image processing, object detection, Deep learning. Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented.
 </li>
 <li>
 Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation.
 </li>
 <li>
 Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation
 </li>
 <li>
 Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics.
 </li>
 <li>
 Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
 </li>
 <li>
 Ability to scale and deploy data science solutions.
 </li>
 <li>
 Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
 </li>
 <li>
 Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop
 </li>
 <li>
 Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development &amp; deployment, CI/CD, MLOPs
 
 
 </li>
 </ul>
 
 Additional Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Published papers or given talks in leading academic and research journals
 </li>
 <li>
 Published papers or given talks in Data Science Forums
 </li>
 <li>
 Hold data science related patents
 </li>
 <li>
 Experience with GPU/CUDA for computational efficiency
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc. is an Equal Opportunity Employer &ndash; By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions &ndash; while being inclusive of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , India R-2361300
</div>

(IND) STAFF, DATA SCIENTIST

AB InBev GCC India

<div>
 
 
 Dreaming big is in our DNA. It&rsquo;s who we are as a company. It&rsquo;s our culture. It&rsquo;s our heritage. And more than ever, it&rsquo;s our future. A future where we&rsquo;re always looking forward. Always serving up new ways to meet life&rsquo;s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together &ndash; when we combine your strengths with ours &ndash; is unstoppable. Are you ready to join a team that dreams as big as you do?
 
 
 
 
 
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title:
 
 Junior Data Scientist
 
 
 
 Location:
 
 Bangalore
 
 
 
 Reporting to:
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 
 1. Purpose of Role
 
 
 
 
 
 
 The Junior Data Scientist will support the development of analytical solutions that enable data-driven decision-making across the organization. The role focuses on building foundational skills in Python, SQL, and core data science workflows. It involves working closely with senior team members to prepare data, develop basic models, perform exploratory analysis, and contribute to documentation and reproducibility. This position is designed for individuals who can learn quickly, collaborate effectively, and apply structured problem-solving to business challenges.
 
 
 
 
 
 
 2. Key Tasks and Accountabilities
 
 
 
 
 
 <ul>
 <li>
 Assist in developing data science models and analytical components using Python with working knowledge of syntax, data structures, and foundational libraries such as pandas and numpy
 </li>
 <li>
 Conduct exploratory data analysis, basic feature creation, and initial statistical checks under the guidance of senior team members
 </li>
 <li>
 Write clean, readable, and well-organized code while following best practices shared by the team
 </li>
 <li>
 Collaborate with cross-functional teams to understand data needs, gather requirements, and support translation of business questions into analytical tasks
 </li>
 <li>
 Work with existing codebases to understand workflow logic, make incremental enhancements, and support maintenance tasks
 </li>
 <li>
 Use version control tools like Git for basic code commits, branching, and collaboration.
 </li>
 <li>
 Write simple to intermediate SQL queries to extract and prepare data from relational databases
 </li>
 <li>
 Support documentation of processes, datasets, code logic, and outputs for future use
 </li>
 <li>
 Learn and adopt standard development and data science methodologies including model evaluation, reproducibility, and simple automation of tasks
 </li>
 <li>
 Participate in team learning initiatives, staying curious about new tools, techniques, and best practices in analytics
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience and Skills
 
 
 
 
 
 
 
 Education:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, Mathematics, Statistics, Engineering, or a related discipline.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in data science, analytics, or related technical roles, preferably with exposure to hands-on projects, internships, or academic assignments involving Python and data analysis.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Python Programming (Beginner to Intermediate):
 
 </li>
 <li>
 Basic proficiency with syntax, data structures, and use of core libraries such as pandas and numpy.
 </li>
 <li>
 
 Data Science Foundations:
 
 </li>
 <li>
 Understanding of descriptive statistics, basic model-building concepts, and feature preparation.
 </li>
 <li>
 
 SQL (Beginner to Intermediate):
 
 </li>
 <li>
 Ability to write queries for data extraction and manipulation.
 </li>
 <li>
 
 Version Control (Git):
 
 </li>
 <li>
 Familiarity with commits, branches, and collaborative code workflows.
 </li>
 <li>
 
 Code Adaptability:
 
 </li>
 <li>
 Ability to read and understand existing code and make minor enhancements.
 </li>
 </ul>
 
 
 
 
 
 Preferred (Good to Have) Skills
 
 
 
 
 
 <ul>
 <li>
 Exposure to Object-Oriented Programming (OOP) concepts in Python
 </li>
 <li>
 Basic knowledge of model evaluation techniques or lifecycle stages
 </li>
 <li>
 Awareness of test-driven development principles
 </li>
 <li>
 Experience with Jupyter notebooks, dashboards, or simple automation scripts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Junior Data Scientist

A.P. Moller - Maersk

<div>
 
 AI/ML Scientist (Operations research/Optimization/Simulation)
 
 
 
 
 A.P. Moller - Maersk
 
 
 
 A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
 Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
 
 
 The team - who are we:
 
 
 We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers.
 
 
 We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally.
 
 
 We are now seeking a new team member who is excited about developing advanced simulation models,optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
 
 
 worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency
 
 
 and business value.
 
 
 We Offer - This Is What You Get
 
 
 You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
 
 
 terminals. As an AI/ML Scientist, you will have a leading role in designing, building, maintaining, and
 
 
 iterating on products that directly impact terminal operations.
 
 
 This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
 
 
 operational and strategic insights that are transforming container terminal operations globally.
 
 
 This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in
 
 
 terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad
 
 
 possibilities to further develop competencies in an environment characterized by change and continuous Progress.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
 </li>
 <li>
 Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
 </li>
 <li>
 Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
 </li>
 <li>
 Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
 </li>
 <li>
 Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
 </li>
 <li>
 Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
 
 
 </li>
 </ul>
 To do this job, we imagine you have:
 
 
 <ul>
 <li>
 5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
 </li>
 <li>
 PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
 </li>
 <li>
 Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
 </li>
 <li>
 Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
 </li>
 <li>
 Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
 </li>
 <li>
 Excellent record of delivery using Python and technologies like Git, JIRA, etc.
 </li>
 <li>
 Ability to understand complex operational systems and translate business requirements into effective technical solutions.
 </li>
 <li>
 Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
 </li>
 <li>
 Experience working with cloud environments.
 
 
 </li>
 </ul>
 Nice to have:
 
 
 <ul>
 <li>
 Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
 </li>
 <li>
 Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
 </li>
 <li>
 Experience developing and interacting with generative AI models.
 
 
 </li>
 </ul>
 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
 
 
 We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
</div>

AI/ML Scientist(Operations research/Optimization/Simulation)

Glance

<div>
 
 
 What you will be doing
 
 
 
 We are looking for a Data Scientist who can operate at the intersection of
 
 classical machine learning
 
 ,
 
 large-scale recommendation systems
 
 , and
 
 modern agentic AI systems
 
 .
 
 
 You will design, build, and deploy intelligent systems that power Glance&rsquo;s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
 
 
 
 Your responsibilities will include:
 
 
 
 
 Classical ML &amp; Recommendation Systems
 
 
 <ul>
 <li>
 Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
 </li>
 <li>
 Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
 </li>
 <li>
 Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
 </li>
 <li>
 Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
 </li>
 <li>
 Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
 </li>
 </ul>
 
 
 Agentic Systems &amp; Next-Gen AI
 
 
 <ul>
 <li>
 Build and experiment with
 
 agentic AI systems
 
 that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
 </li>
 <li>
 Apply
 
 LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models
 
 for semantic understanding, content classification, and user preference modelling.
 </li>
 <li>
 Design intelligent agents that can automate repetitive decision-making tasks&mdash;e.g., candidate generation tuning, feature selection, or context-aware content curation.
 </li>
 <li>
 Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.
 </li>
 </ul>
 
 
 Cross-functional impact
 
 
 <ul>
 <li>
 Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance&rsquo;s consumer experiences.
 </li>
 <li>
 Contribute to Glance&rsquo;s ML/AI thought leadership&mdash;blogs, case studies, internal tech talks, and industry conferences.
 </li>
 <li>
 Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
 </li>
 <li>
 Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
 </li>
 </ul>
 
 
 
 
 We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
 
 
 You should have experience with:
 
 <ul>
 <li>
 Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
 </li>
 <li>
 Classical ML and deep learning techniques across NLP, sequence modelling, RL, clustering, and time series.
 </li>
 <li>
 Experience in deploying ML workflows/models in production system
 </li>
 <li>
 Big data processing (Spark, distributed data systems) and cloud computing.
 </li>
 <li>
 Designing end-to-end ML solutions&mdash;from prototype to production.
 </li>
 <li>
 Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
 </li>
 <li>
 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
 </li>
 <li>
 Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
 </li>
 <li>
 Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
 </li>
 <li>
 Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
 </li>
 <li>
 Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
 </li>
 <li>
 Comfortable working in cross-functional teams.
 </li>
 <li>
 Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex technical concepts.
 </li>
 </ul>
 
 
 
 We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
 
 
 Our team includes engineers, physicists, economists, mathematicians, and social scientists&mdash;a great data scientist can come from anywhere.
 
</div>

Machine Learning Engineer III - Recommendation Systems

<div>
 
 Dreaming big is in our DNA. It&rsquo;s who we are as a company. It&rsquo;s our culture. It&rsquo;s our heritage. And more than ever, it&rsquo;s our future. A future where we&rsquo;re always looking forward. Always serving up new ways to meet life&rsquo;s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together &ndash; when we combine your strengths with ours &ndash; is unstoppable. Are you ready to join a team that dreams as big as you do?
 
 
 
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Location:
 
 Bengaluru
 
 
 
 Reporting to:
 
 Senior Manager - Analytics
 
 
 
 
 
 
 1. PURPOSE OF ROLE
 
 
 
 
 
 
 The Data Scientist will play a key role in designing and delivering data-driven solutions that enable better decision-making across the organization. This role requires strong hands-on coding skills in Python, experience with core data science libraries, and the ability to statistically validate features and models. The analyst will collaborate across teams, work efficiently with existing codebases, and apply version control and development best practices to build scalable, production-ready analytics solutions. With intermediate SQL expertise and a solid grasp of model development workflows, the role ensures robust, interpretable, and actionable outcomes from complex data.
 
 
 
 
 
 
 2.KEY TASKS AND ACCOUNTABILITIES
 
 
 
 
 
 
 &bull; Develop and maintain data science models using Python, applying intermediate to advanced knowledge of syntax, data structures, and key libraries such as pandas and numpy.
 
 
 &bull; Perform feature engineering and statistical validation of features and models to ensure robustness, accuracy, and business relevance.
 
 
 &bull; Write clean, modular, and well-documented code following best development practices; optionally adopt Test-Driven Development (TDD) to enable faster iteration and feedback cycles.
 
 
 &bull; Collaborate with cross-functional teams to understand data requirements, align on analytical solutions, and translate business problems into data science problems.
 
 
 &bull; Read, understand, and extend existing codebases, adapting quickly to different coding styles and project structures.
 
 
 &bull; Leverage version control tools like Git for collaborative development, code management, and maintaining reproducibility of models.
 
 
 &bull; Write and optimize intermediate-level SQL queries to extract, transform, and analyze data from structured databases.
 
 
 &bull; Contribute to the deployment readiness of models, ensuring outputs are interpretable, reusable, and aligned with production or decision-support use cases.
 
 
 &bull; Document processes, assumptions, and outputs clearly for stakeholder transparency, reproducibility, and future reference.
 
 
 &bull; Stay up to date with industry trends, new tools, and emerging best practices in data science, analytics, and development methodologies.
 
 
 
 
 
 
 3. QUALIFICATIONS
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Systems, Artificial Intelligence, Machine Learning, or a related field (B. Tech / BE / Masters in CS/IS/AI/ML).
 
 
 Work Experience:
 
 
 &bull; Minimum of 3 years of hands-on experience in a data science or analytics role, with a proven track record of building and deploying data-driven solutions in real-world scenarios.
 
 
 
 
 
 
 4. Technical Skills Required:
 
 
 
 
 
 
 &bull; Python Programming (Intermediate to Advanced): Strong grasp of syntax, data structures, and experience with libraries like pandas and numpy.
 
 
 &bull; Data Science Fundamentals: Ability to statistically validate features and models, ensuring sound analytical rigor.
 
 
 &bull; SQL (Intermediate): Proficiency in writing queries to extract, manipulate, and analyse data from relational databases.
 
 
 &bull; Version Control (GIT): Familiarity with collaborative development using Git for code versioning and management.
 
 
 &bull; Code Adaptability: Comfortable working with and modifying existing codebases written by others.
 
 
 
 
 
 
 5. Good to have skills:
 
 
 
 
 
 
 &bull; Object-Oriented Programming (OOPs) in Python: Understanding and applying OOP concepts where appropriate.
 
 
 &bull; Test-Driven Development (TDD): Awareness of TDD practices for faster iteration and improved code quality.
 
 
 &bull; Model Deployment Lifecycle Knowledge: Familiarity with reproducibility, tracking, and maintaining deployed models (though not explicitly required, it&rsquo;s a plus if known).
 
</div>

Data Scientist

Inference Labs

<div>
 
 Job Location: Bangalore
 
 
 Job Summary:
 
 
 
 We are seeking an experienced Talent Acquisition Specialist to lead end-to-end hiring for data analytics and technology roles. The position involves sourcing top talent through innovative strategies, managing the complete recruitment lifecycle, and collaborating with hiring managers to ensure strong role alignment. The role also supports employer branding initiatives and leverages recruitment analytics to optimise hiring efficiency and quality.
 
 
 
 Key Responsibilities:
 
 
 Talent Sourcing &amp; Acquisition
 
 
 
 <ul>
 <li>
 Identify, attract, and engage candidates for roles in data analytics, data science, BI, and related fields.
 </li>
 <li>
 Utilize job boards, LinkedIn, social media, and networking events to build pipelines.
 </li>
 <li>
 Develop creative sourcing strategies to target passive candidates.
 
 
 </li>
 </ul>
 
 Recruitment Process Management
 
 
 
 <ul>
 <li>
 Manage the full recruitment cycle: job posting, screening, interviewing, and offer negotiation.
 </li>
 <li>
 Coordinate with hiring managers to understand role requirements and desired skill sets.
 </li>
 <li>
 Ensure a smooth candidate experience throughout the process.
 
 
 </li>
 </ul>
 
 Employer Branding
 
 
 
 <ul>
 <li>
 Promote the companys culture and opportunities to attract top analytics talent.
 </li>
 <li>
 Represent the organization at career fairs, industry events, and university programs.
 
 
 </li>
 </ul>
 
 Data-Driven Recruitment
 
 
 
 <ul>
 <li>
 Track recruitment metrics (time-to-fill, quality of hire, source effectiveness).
 </li>
 <li>
 Use analytics to improve hiring strategies and optimise processes.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Bachelors degree in Human Resources, Business Administration, or related field.
 </li>
 <li>
 Proven experience (35 years) in recruitment, preferably within data analytics, IT, or technology sectors.
 </li>
 <li>
 Strong understanding of analytics roles (Data Analyst, Data Scientist, BI Developer, ML Engineer, Data Engineer).
 </li>
 <li>
 Excellent communication, negotiation, and interpersonal skills.
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 Ability to manage multiple requisitions in a fast-paced environment.
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</div>

Talent Acquisition Specialist

Amazon

<div>
 
 Description
 
 
 
 Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon&rsquo;s customers, achieving on-time delivery in a cost-effective manner.
 
 
 We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.
 
 
 Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.
 
 
 This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.
 
 
 
 Responsibilities May Include
 
 
 
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 Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
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 Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
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 Managing multiple projects simultaneously
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 Working with technology teams and product managers to develop new tools and systems to support the growth of the business
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 Communicating with and supporting various internal stakeholders and external audiences
 
 
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 Basic Qualifications
 
 
 
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 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
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 PhD, or Master's degree and 5+ years of quantitative field research experience
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 Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
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 Experience communicating qualitative research methods and findings to non-qualitative researchers
 
 
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 Preferred Qualifications
 
 
 
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 Experience converting research studies into tangible real-world changes
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 Experience with discrete and continuous optimization methodologies and algorithms
 
 
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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3126640
</div>

Sr. Research Scientist, Last Mile Science

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