1397 Data Scientist Jobs - Page 41

Position Summary... What youll do... About Team The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. 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. In addition, 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. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. As a Principal Data Scientist for Walmart Global Tech, youll have the opportunity to Drive data-derived insights across a wide range of retail & Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You ll Do Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager & Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists & staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantifies business impact and ensures regular impact measurement of all ML products in the domain. Identifies and reviews model evaluation metrics based on analytical requirements Ensures testing information is documented and maintained by the team Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Proactively engages in the external community to build Walmarts brand and learn more about industry practices Promote and support company policies, procedures, mission, values, and standards of ethics and integrity What You ll Bring Masters with > 14 years OR Ph.D. with > 15 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 10 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end - from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation & Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, 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. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency

We re looking for a Senior Applied Data Scientist who expects more from their career. It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems. What you can expect from us We won t 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. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for capacity planning, transportation and fulfillment network? If so, then this is the job for you. Our team is responsible for creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, scientists, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools. Major responsibilities include: Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. Apply Statistical and Machine Learning methods to specific business problems and data. Create global standard metrics across regions and perform benchmark analysis. Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. Develop efficient data querying and modeling infrastructure. Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models. - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company

Enhance tech efficiency and drive product development with cutting-edge analytics in your data science career. As a Data Scientist Associate within the Data and Analytics team, you will enhance productivity and efficiency by providing business intelligence and analysis related to programs that improve the developer experience. Job Responsibilities Collaborate with product managers, engineers, and stakeholders to translate business objectives into data-driven solutions. Analyze complex data sets to identify trends and opportunities for improvement in the product development life cycle. Develop predictive models and machine learning algorithms to forecast product performance. Design experiments to test hypotheses and validate model outcomes. Create dashboards and reports to visualize key metrics and insights. Stay updated with industry trends and best practices in data science. Mentor data scientists and contribute to a collaborative team environment. Required Qualifications, Capabilities, and Skills Minimum 3 years of experience in data science or analytics. Bachelor s degree in data science, Statistics, Computer Science, or related field. Strong problem-solving skills and learning aptitude. Experience with data analytics and visualization techniques (e.g., SQL, Python, Tableau). Exceptional communication and presentation skills. Expertise in machine learning, statistical modeling, and data mining. Ability to work independently and collaboratively in a dynamic environment. Preferred Qualifications, Capabilities, and Skills Experience with Agile methodologies and proficiency in Atlassian tools like Jira. Familiarity with analytics engineering tools like dbt and Airflow. Understanding of DevEx metrics and software deployment pipelines. Experience with ThoughtSpot or similar data visualization tools and familiarity with AI technologies and POC development.

Hello, Greetings from GlobalData!!! Job Opening for below roles @ GlobalData -Hyderabad. Data Science Senior Data Science Job Criteria :- Qualification: B.Tech/BE/MCA/M.Tech/B.Sc/M.Sc-(Computers) Experience Range : 2 to 5 years Key Skills : Python, SQL, Gen AI, LLM, Data Science Notice Period : Immediate joiners or with one month notice period Job Location : Hyderabad Work Mode : Hybrid Salary : best as per market standard's Detailed job description given below please go through to understand requirement. If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :-Applying for Data Science @ GlobalData-Hyd. Please Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Present Location : If out-station willing to relocate to Hyd : Yes/No Job Description:- Data Scientist Location: Hyderabad, India Experience: 2+ years About the Role :- We are looking for a Data Scientist with at least 2 years of experience to join our Hyderabad team. The ideal candidate is skilled in Python and SQL, with a strong analytical mindset. Experience with Generative AI (GenAI) or Large Language Models (LLMs) is a plus. Responsibilities Analyze large datasets and extract actionable insights. Build and deploy machine learning models. Write efficient SQL queries for data extraction and analysis. Collaborate with cross-functional teams to deliver data-driven solutions. Present findings to technical and non-technical stakeholders. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 2+ years of experience in Data Science or a similar role. Strong Python and SQL skills. Solid understanding of statistics, machine learning, and data visualization. Excellent problem-solving and communication skills. Preferred Experience with GenAI or LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Job Description: Senior Data Scientist Location: Hyderabad, India Experience: 5+ years About the Role :- We are seeking a Senior Data Scientist with at least 5 years of experience to join our Hyderabad team. The ideal candidate has strong expertise in Python and SQL, hands-on experience with Generative AI (GenAI) or Large Language Models (LLMs), and a proven ability to manage multiple projects. You will lead data science initiatives, ensure timely project delivery, and mentor junior team members. Responsibilities Lead and deliver multiple data science projects on schedule. Design, develop, and deploy advanced machine learning and GenAI/LLM solutions. Guide and mentor junior data scientists, providing technical direction and support. Collaborate with cross-functional teams to define project goals and deliverables. Communicate complex findings clearly to stakeholders at all levels. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 5+ years of experience in Data Science or a similar role. Strong proficiency in Python and SQL. Hands-on experience with GenAI or LLMs. Proven project management and team leadership skills. Deep understanding of statistics, machine learning, and data visualization. Excellent problem-solving, communication, and organizational skills. Preferred Experience with handling data formats like structured (SQL), semi-structured (Elasticsearch) and unstructured (PDF, Images in S3) Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Thanks & Regards, Salim (Human Resources)

Roles and Responsibilities : Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Proven ability to dive business results with their data-based insights Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting and other business outcomes Develop A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy

Job Description Management Level: Ind & Func AI Decision Science Analyst/Consultant Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills : Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 2-9years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 3-5 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus: Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Job Qualifications Job Qualifications Experience: Minimum 2-9 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Roles and Responsibilities Design and develop AI-powered solutions using various tools such as Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc. Collaborate with cross-functional teams to identify business problems and design data science projects that solve real-world issues. Develop predictive models and algorithms to analyze large datasets and provide insights for informed decision-making. Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations in complex datasets. Communicate technical findings effectively through reports, presentations, and visualizations.

We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in India’s exciting and diverse landscape. You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working. The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 640M+ users around the globe. At your fingertips, you’ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio and video! What You'll Do Develop data driven strategies to drive the growth of Spotify users and subscribers Identify new user growth levers for India and use experimentation to help drive that growth Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization Build scalable data pipelines and dashboards to facilitate business performance tracking Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth Design and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the way Present your findings to senior collaborators, influencing the course of our business Who You Are A minimum of 5+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL Experience with distributed systems (Redshift, Hadoop, BigQuery or GCP) is a plus Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data Experienced collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations Background in Economics, Computer Science, Statistics, Engineering or a relevant field Comfortable working on a globally distributed team (with occasional international travel) Relevant experience in a consumer tech/product company is a plus Where You'll Be This role will be based at Spotify’s India office in Mumbai We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Show more Show less

BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications , using the latest technologies.? In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.).

Hi, We are hiring for the role of Data Scientist for the FMCG MNC at, Hyderabad (Kothur) location You'll be hired on the payroll of Ashkom Media India Pvt. Ltd. , if interested revert me back with your feedback and updated resume. Education and Experience: B.Tech in Computer Science with atleast 5 years of experience. Experience working in P&G preferred. Skills Required: Coding skills: Python (mandatory), SQL (mandatory), C++ UI/UX development: Java, React JS/Javascript, PowerBI, Anaconda ML Skills: Tensorflow, Keras (Basic understanding of supervised/unsupervised model and neural networks) Should be able to communicate well with US and Europe teams and document learning plans and MoM for meetings Project Scope: Work on a proprietary ML vision algorithm. The solution is used to identify defects on packaged surfaces like liquid detergent pouches. The work of the engineer will be to fine tune and train the model for our specific use case and achieve 99.95% model accuracy in production by successful identification of all good and not good pouches and classification of not good pouches into defect categories it is trained on.

Role & responsibilities Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Preferred candidate profile Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j)

Hyderabad, TG, IN, 500081 Let's play together About Our Company Fortuna has become an established brand among customers within just a few years. We became a proud international Family of companies carrying Fortuna Entertainment Group from the first betting shop. We want to go further and be known for having the best tech department offering our employees the usage of modern technologies, and being part of many exciting projects. Our new home is the remarkable Churchill II building which has a view of Prague. Every detail underlines the company's corporate culture and represents our values. The workplace layout is 100% ecological, providing ideal conditions for everyday work. We all work as one team and treat each other with respect, openness, a sense of honor and respect for individual and cultural differences. POSITION TITLE: Data Scientist Key Purpose Statement – Core mission The key purpose or core mission of the Data Scientist position is to drive Data science in FEG business and build statistical and ML based models, and insights. Responsibilities Retrieve the data from different data sources i.e., Data Lake and Data Ware House using SQL, Python or PySpark Cleaning and preprocess the data for quality and accuracy Perform EDA to identify patterns, trends and insights using statistical methods Develop and implement machine learning models for customer behavior, revenues, campaigns Enhance the existing models by adding more features and expand it to other markets / teams Working with other teams such as engineering, product development, and marketing to understand their data needs and provide actionable insights Support the data analytics team in improving analytical models with data science-based insights Develop and provide MLOps framework on Microsoft Azure for deploying ML models (good to have) Requirements - Knowledge, Skills And Experience Education (High/University), language knowledge (level of EN, CZ, .. ), length of practice and experiences required: A degree in Computer Science / Information Technology Fluent communication skills in English both written and verbal Team player who can share experience with the team and grow them technically High quantitative and cognitive ability to solve complex problem and think with a vision Qualifications, knowledge of “XY”, specific technology; hard and soft skills required: At least 4 years of experience of working in data roles – Data Analyst, Business Analyst and Data Scientist 3 + years of experience in programming and data science, MLOps and automation of models Sound practical knowledge of working with advanced statistical algorithms Great understanding of all machine learning techniques and its application on business problems Experience with ML on MS Azure stack in combination with Python, SQL Strong business understanding. Worked in developing analytics solutions in 2-3 Domains Experience in building and productionizing ML platforms. Work And Personality Characteristics Required Data Driven Technical Thinking Problem-solving Communication skills Critical Thinking Task Management Proactive Offices at FEG Your browser does not support the video tag. Show more Show less

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Purpose . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com. Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI. Data Scientist: Hyderabad and Gurugram You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 5+ years of experience working as a Data Scientist. 4+ years’ experience building solutions in the commercial or in the supply chain space. 4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 4+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 4+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Skills, Abilities, Knowledge: Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Show more Show less

Company Overview Nexus Jobs is an expert in talent staffing services, offering corporate manpower solutions and industrial employment services with a strong pan-India presence. Our focus is on end-to-end solutions for both our clients and candidates, with opportunities ranging from immediate placement to freelance work. Our HR services are tailored to the specific needs of our clients, ensuring an unparalleled level of staffing expertise. Headquartered in Jaipur, Nexus Jobs places emphasis on both ambient and highly specialized staffing processes. Job Overview We are seeking a Senior Data Scientist to join our dynamic team at Nexus Jobs. This remote position is based in Jaipur and demands a strong commitment to discovering the data-driven insights that fuel business growth. You will be responsible for deploying machine learning models, leveraging data to optimize business outcomes, and collaborating with diverse teams to drive strategic decision-making. Qualifications and Skills Extensive experience with machine learning, adequately using tools and techniques to gain information from data sets. Machine Learning (Mandatory skill). Proficiency in deep learning frameworks such as TensorFlow or PyTorch to create scalable algorithms. Deep Learning (Mandatory skill). Expert knowledge of Python programming to develop and productionize models for machine learning and data science projects. Python (Mandatory skill). Mastery in data visualization to effectively communicate complex data insights via visualization tools such as Tableau or PowerBI. Strong data analysis skills to identify trends, patterns, and anomalies in data, aiding in strategic decision-making. Comprehensive experience in data cleaning to prepare precise datasets for thorough analysis and model building. Skills in natural language processing to eliminate noise from data and glean insights from text-based data. Ability to work with big data and experience using cloud data solutions to handle and process vast datasets efficiently. Roles and Responsibilities Conduct thorough data analyses to extract valuable insights and inform future strategies for business impact. Design and deploy sophisticated machine learning algorithms that enhance business processes and product offerings. Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions. Build predictive models and machine learning algorithms from the ground up for various business applications. Conduct research and keep updated on leading-edge methodologies in data science and drive their effective implementation. Aggregate and scrutinize large datasets to create actionable insights, informing strategic and operational activities. Document the procedures and findings amid the data development process to ensure reproducibility and knowledge sharing. Present complex analytical results in a comprehensible format to stakeholders and provide detailed actionable strategies. Show more Show less

Job Description The Data Scientist Operations will play a key role in transforming operational processes through advanced analytics and data-driven decision-making This role focuses on optimizing supply chain, manufacturing, and overall operations by developing predictive models, streamlining workflows, and uncovering insights to enhance efficiency and reduce costs, Key Responsibilities Advanced Analytics and Data Modeling Develop predictive models for demand forecasting, inventory optimization, and supply chain resilience, Leverage machine learning techniques to optimize production schedules, logistics, and procurement, Build algorithms to predict and mitigate risks in operational processes, Operational Efficiency Analyze manufacturing and supply chain data to identify bottlenecks and recommend process improvements, Implement solutions for waste reduction, cost optimization, and improved throughput, Conduct root cause analysis for operational inefficiencies and develop actionable insights, Collaboration with Stakeholders Partner with operations, supply chain, and procurement teams to understand analytical needs and deliver insights, Collaborate with IT and data engineering teams to ensure data availability and accuracy, Present findings and recommendations to non-technical stakeholders in an accessible manner, Data Management and Tools Work with large datasets to clean, preprocess, and analyze data Location(s) Ahmedabad Venus Stratum GCC Kraft Heinz is an Equal Opportunity Employer Underrepresented Ethnic Minority Groups / Women / Veterans / Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes,

Way of working Remote : Employees will have the freedom to work remotely all through the year These employees, who form a large majority, will come together in their base location for a week, once every quarter, Job Profile : Data Scientist II Location : Bangalore | Karnataka Years of Experience : 3 5 About The Team & Role Data Science at Swiggy Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics We also encourage open sharing of ideas and publishing in internal and external avenues What will you get to do here You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance, You will mine and extract relevant information from Swiggy's massive historical data to help ideate and identify solutions to business and CX problems, You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale, You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy's problem statements, You will publish and talk about your work in internal and external forums to both technical and layman audiences, Opportunity to work on challenging and impactful projects in the logistics domain, Collaborative and supportive work environment that fosters learning and growth, Conduct data analysis and modeling to identify opportunities for optimization and automation, What qualities are we looking for Bachelors or Masters degree in a quantitative field with 3-5 years of industry/research lab experience Experience in Generative AI, Applied Mathematics, Machine Learning, Statistics Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems Preferred: Experience working with big dataand shipping ML/DL models to production

DATA SCIENTIST EXP: 3 to 5 year Responsibilities • Data Analysis and Exploration Analyze large, complex datassets • Predictive Modeling and Machine Learning • Data Mining and Pattern Recognition • Experimentation and A/B Testing • Collaboration and Communication Requirements • Bachelors or Masters in Computer Science or Statistics. • 3 to 5 years of proven experience in data science, machine learning, or predictive analytics roles. • Working knowledge in azure cloud platform is preferred • Proficiency in programming languages commonly used in data science (e.g., Python etc). • Strong understanding of statistical analysis, hypothesis testing, and experimental design. • Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit- learn, PyTorch, etc.). • Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.). • Excellent problem-solving and analytical skills with attention to detail. • Effective communication and collaboration abilities in a team environment. • Ability to manage multiple projects and prioritize tasks effectively. Show more Show less

FarmwiseAI is an AgriTech company leveraging AI-driven solutions to optimize farm management, empowering farmers with data-driven insights for sustainable agriculture. We seek a Senior Data Scientist to drive AI/ML initiatives, collaborating with cross-functional teams to develop AI-powered solutions. Responsibilities include developing and optimizing ML models for predictive analytics and image processing, working with large agricultural datasets such as satellite and drone data, deploying models into production, ensuring scalability, staying updated on AI/ML advancements, and mentoring junior team members. Candidates should have a Masters or PhD in Data Science, Computer Science, or a related field, with 5+ years of experience in AI/ML and at least 2 years in a leadership role. Technical skills required include Python, TensorFlow, PyTorch, Scikit-Learn, and experience with cloud platforms (AWS/GCP/Azure), with GIS knowledge being a plus. Strong problem-solving, communication, and leadership skills are essential.

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. • Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills • Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube! Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Role & responsibilities Requires 5-8 years of proven experience in banking/payments/other domains Strong experience in developing Machine Learning models, Python & SQL Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases Detailed oriented with a proactive mindset towards problem-solving Excellent communication and presentation skills with the ability to convey complex information clearly and concisely Demonstrated ability to engage with client stake holders

Data Analytics Engineer / Data Scientist Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT KEARNEY: Kearney is a leading global management consulting firm with more than 5,300 people working in more than 40 countries. We work with more than three-quarters of the Fortune Global 500, as well as with the most influential governmental and nonprofit organizations. Kearney is a partner-owned firm with a distinctive, collegial culture that transcends organizational and geographic boundariesand it shows. Regardless of location or rank, our consultants are down to earth, approachable, and have a shared passion for doing innovative client work that provides clear benefits to the organizations we work with in both the short and long term. ABOUT HOPTEKAI: At Hoptek, a Kearney Company, were building AI-powered SaaS products that help trucking companies operate smarter — from pricing freight and planning networks to allocating assets and reducing waste. We’re looking for a Data Analytics Engineer / Data Scientist who’s excited to solve hard operations problems, build AI models that get embedded into our products, and help our customers get smarter through data. If you love building applied ML solutions and developing new ideas at the intersection of logistics and optimization, this role is for you. POSITION OVERVIEW: Build machine learning and optimization models to support pricing, routing, and network planning Partner with product and engineering teams to embed AI algorithms into customer-facing software Analyze freight networks and develop insights that drive operational efficiency Use PostgreSQL and Apache Superset to develop internal and customer-facing analytics as needed Prototype innovative solutions to unstructured problems using Python, OR techniques, and statistical methods Understand how customers interact with the platform and develop analytics to support adoption and value delivery What We’re Looking For: 3+ years of experience in data science, analytics engineering, or operations research Proficiency in Python, SQL, and relevant data/ML libraries (e.g., pandas, scikit-learn, XGBoost) Strong grasp of optimization techniques, network models, or decision science Familiarity with data visualization tools — especially Apache Superset Ability to work with real-world, messy logistics data and extract actionable intelligence Curiosity and creativity in approaching open-ended product and analytics challenges Bonus Points For: Experience in transportation, logistics, or freight planning Hands-on experience with graph analytics or geospatial data Experience productionizing ML/OR models within SaaS applications Exposure to pricing algorithms, dynamic optimization, or network simulations Why Kearney HOPTEKAI: Applied AI, Real Impact: Your work powers critical product decisions — from what to bid, to where to send the next truck Innovation-Driven: You’ll get to explore new techniques and shape the future of optimization in freight Close Loop from Data to Product: Help us transform ideas into algorithms, and algorithms into product features Mysuru Preferred: Collaborate on-site with our core team — or work remotely within India We’re Hiring Fast: Join a high-impact team at a critical growth moment Equal Employment Opportunity and Nondiscrimination HOPTEK, A Kearney Company, prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. HOPTEK, A Kearney Company, aims to build diverse capabilities to help our clients solve their most mission-critical problems. HOPTEK, A Kearney Company, is committed to building a diverse, unbiased, and inclusive workforce. We are an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.

Role: At Simplify Healthcare AI, we are focused on building industry-focused AI models. We are seeking a highly skilled and passionate Senior Data Scientist to join our dynamic team. In this role, you will be at the forefront of designing, developing, and implementing advanced machine-learning models that will have a direct impact on our products and offerings. Responsibilities: Data Preprocessing : Organize, categorize, and prep data for processing. Identify incomplete, incorrect, inaccurate or irrelevant portions of data and interpret, cleanse or replace/delete them as needed. Advanced Data Analysis : Utilize advanced statistical techniques to analyze complex, large sets of data, and extract actionable insights that will help drive decision-making processes across various functions of the business. Model Development : Develop, refine, and implement machine learning algorithms and statistical models that will help create data-driven solutions to business problems. Also responsible for validating and testing these models to ensure accuracy. Collaboration : Work closely with the team of engineers and product designers to understand technical and business requirements, convert these to analytic solutions, and integrate them into our product suite. Insight-Driven Business Decisions : Utilize and translate complex results from the data analyses and models into strategic recommendations for both technical and non-technical stakeholders. Presentations : Represent the data science team in cross-functional teams to ensure correct and impactful data science principles are incorporated. Effectively present complex statistical concepts and results, as well as their implications, to a non-technical audience. Mentoring and Leadership : Provide mentorship and guidance to junior data scientists in the team, educate them on best practices, and guide them in their career paths. Required Skills: Minimum of 5 (Five) years of working experience as a data scientist. Strong knowledge of machine learning models, data mining, and databases. Experience with programming languages such as Python, SQL, etc. Knowledge of distributed data/computing tools like MapReduce, Hadoop, Hive, and Spark. Exceptional problem-solving skills, attention to detail, and a team player. Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. Experience in mentoring junior data scientists or leading a data science team is preferred.