3811 Data Science Jobs - Page 21

Educational Qualification: Bachelors/master's degree in computer science, Engineering, or a related field 60% above in academics Responsibility: Provide sustainable and well-structured solutions along with documentation. Expertise with cloud services eg. AWS, Azure, GCP Expertise in Spark Expertise in Python and SQL programming. Experience with BI tools: QuickSight, Plotly-Dash, PowerBI, Tableau etc. Development and maintenance of Machine Learning pipelines for existing ML models. Requirements: Expertise in AWS services eg. Glue, SageMaker etc Good analytical skills Experience of working with International clients. Alignment with counterpart for requirements and results. Continuous learning attitude. Good Communication Skills in English

Role & responsibilities Key Responsibilities: 1. Teaching and Instruction: Develop and deliver lectures, seminars, and tutorials in their area of expertise. Prepare course materials (syllabi, assignments, exams) and manage grading. Mentor and guide undergraduate and graduate students, providing academic advice and support. Incorporate current research and real-world applications into the curriculum. Use a variety of teaching methods, including lectures, discussions, group work, and online learning platforms. Service and Administrative Duties: Participate in departmental, faculty, and institutional committees, contributing to academic governance. Assist with departmental administration, such as curriculum development, accreditation processes, and assessment of student performance. Serve as an advisor for student organizations or academic programs. Contribute to the universitys mission and strategic goals through service on committees or in special projects. 1. Professional Development: Engage in ongoing professional development, including attending conferences, workshops, and training. Stay current with developments in their field and incorporate new knowledge into teaching and research. Pursue opportunities for interdisciplinary collaboration and expand expertise in related fields. Preferred candidate profile Qualifications Educational Requirements: M tech (Computer/Data Science) or equivalent terminal degree in the relevant academic discipline. Some institutions may accept candidates with a strong track record in research and professional experience, particularly in applied fields. Experience: Previous teaching experience or freshers can also apply. Skills: Strong communication and interpersonal skills for effective teaching and collaboration. Ability to manage multiple responsibilities and work independently. Knowledge of current trends and developments in the field. Familiarity with modern teaching technologies . Grant-writing and research funding experience may be required, especially for more research-intensive positions.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Urgent Hiring for Data Modeling Position:- IF interested call share CV Mohini.sharma@adecco.com OR Call 9740521948 Assistant Manager-Data Modeling (2-6 Years Of Experience) Deputy Manager-Data Modeling (6-8 Years Of Experience) Manager - Data Modeling (8-10 Years Of Experience) Location and way of working Base location: Chennai This profile involves working from to client location. Overview of role and associated job description Economic Sanctions and Screening team responsible for developing, enhancing, and validating sanctions screening frameworks and models. This role plays a pivotal part in fortifying the firm's financial crime risk posture by ensuring our screening capabilities align with global regulatory expectations and industry best practices. Responsibilities Design and Development: Develop, test, and optimize sanctions screening frameworks including name and payment screening methodologies. Model Enhancement: Evaluate existing sanctions models (fuzzy matching algorithms, rules logic, thresholds) and propose enhancements based on regulatory guidance and operational feedback. Framework Review: Conduct periodic and event-driven reviews of sanctions screening models to ensure continued relevance and compliance with OFAC, EU, UN, and other regulatory standards. Scenario Calibration and Tuning: Support tuning and threshold analysis for match scoring, leveraging historical alert data and false positive metrics. Data Analytics and Insights: Analyze screening outcomes to identify gaps, trends, and patterns that inform risk mitigation strategies and enhance effectiveness. Documentation and Governance: Prepare and maintain comprehensive model documentation, validation reports, and technical specifications in line with model risk governance frameworks. Stakeholder Engagement: Collaborate with compliance officers, technology teams, and business stakeholders to gather requirements, explain model logic, and support audits and regulatory reviews. Desired qualifications Required Experience and Skills: Domain Expertise: 2-10 years of hands-on experience in sanctions screening framework development, tuning, and validation. Familiarity with leading screening platforms (e.g., FircoSoft, Bridger, Actimize, Oracle Watchlist Screening, etc.) and list management practices. In-depth understanding of global sanctions regimes (OFAC, EU, UN, HMT) and related regulatory expectations. Experience in integrating sanctions screening models with broader AML/CFT frameworks. Exposure to AI/ML techniques for entity resolution or fuzzy matching optimization. Prior involvement in regulatory examinations or independent validations of screening tools. Technical Proficiency: Strong programming and scripting skills (Python, R, SQL, SAS). Experience in data modeling, scoring logic calibration, and large-scale dataset analysis. Analytical Thinking: Ability to conduct root cause analysis on alert quality issues. Strong quantitative and qualitative problem-solving capabilities. Communication: Strong written and verbal communication skills, including the ability to explain technical models to non-technical stakeholders. Ability to craft data-backed narratives and present recommendations with clarity. Education Bachelor's Degree / Master's Degree

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc. ) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Assistant Marketing Manager About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview Were looking for a dynamic Senior Marketing Executive - Acquisition to drive new user growth across Web and Mobile platforms. You will take complete ownership of acquiring high-quality users and leads through performance channels like Meta (Facebook/Instagram), Google Ads, SEM , and Affiliate networks . If you re passionate about data, performance marketing, and experimenting with new acquisition strategies, this role is for you. Key Responsibilities Plan, execute, and optimize campaigns across Meta, Google, SEM , and Media Buying platforms to deliver on ROI and volume targets. Own the full acquisition funnel from strategy and execution to daily performance monitoring and optimization. Manage internal resources or external agencies to deliver high-performing campaigns and report against weekly/monthly KPIs. Forecast acquisition volumes and costs during quarterly and annual planning, collaborating closely with Design, Tech, and Finance teams . Continuously test and experiment with creatives, targeting, landing pages, and bidding strategies to improve cost-efficiency (CPC, CPL, CPA). Enhance campaign measurement and tracking accuracy to enable better decision-making and scaling. Stay hands-on with ad platforms Meta (Facebook/Instagram), Google Ads, Twitter demonstrating deep knowledge of campaign structure, targeting, optimization levers, and auction mechanics. Qualifications & Skills Required 2+ years of proven experience in managing and scaling paid acquisition campaigns across Meta and Google Ads . Strong analytical mindset with a data-first approach to problem-solving. Advanced skills in Excel (formulas, pivot tables, dashboards) for performance analysis and forecasting. Demonstrated success in reducing CPC/CPL through optimization and creative testing. Excellent understanding of ad platforms, audience targeting, bidding models, and campaign performance metrics. Bonus: Experience in gaming, real-money gaming , or other high-growth digital industries. What Youll Love Full ownership and autonomy over acquisition strategy. Collaborative and high-energy work environment. Opportunity to work on high-scale campaigns with measurable business impact. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

You are a strategic thinker passionate about driving solutions and innovation mindset. You have found the right team. As a Data Engineer in our STO team, you will be a strategic thinker passionate about promoting solutions using data. You will mine, interpret, and clean our data, asking questions, connecting the dots, and uncovering hidden opportunities for realizing the data s full potential. As part of a team of specialists, you will slice and dice data using various methods and create new visions for the future. Our STO team is focused on collaborating and partnering with business to deliver efficiency and enhance controls via technology adoption and infrastructure support for Global Finance & Business Management India. Job Responsibilities Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources into Databricks. Perform data analysis and computation to derive actionable insights from the data. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Develop Optimized solutions for performance and scalability. Monitor and troubleshoot data workflows to ensure reliability and efficiency. Document data engineering processes, methodologies, and workflows. Communicating analytical findings to senior leaders through data visualization and storytelling Required qualifications, capabilities and skills Minimum 3+ years of hands-on experience in Developing, implementing and maintaining python automation solutions including the use of LLM. Develop, implement, and maintain new and existing solutions Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources . Ability to use LLM to build AI solutions. Perform data analysis and computation to derive actionable insights from the data. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Monitor and troubleshoot data workflows to ensure reliability and efficiency. Document data engineering processes, methodologies, and workflows. Preferred qualifications, capabilities and skills Hand-on experience in Python desktop solution development Knowledge of machine learning and data science concepts will be plus Experience with data visualization tool Tableau will be plus You are a strategic thinker passionate about driving solutions and innovation mindset. You have found the right team. As a Data Engineer in our STO team, you will be a strategic thinker passionate about promoting solutions using data. You will mine, interpret, and clean our data, asking questions, connecting the dots, and uncovering hidden opportunities for realizing the data s full potential. As part of a team of specialists, you will slice and dice data using various methods and create new visions for the future. Our STO team is focused on collaborating and partnering with business to deliver efficiency and enhance controls via technology adoption and infrastructure support for Global Finance & Business Management India. Job Responsibilities Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources into Databricks. Perform data analysis and computation to derive actionable insights from the data. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Develop Optimized solutions for performance and scalability. Monitor and troubleshoot data workflows to ensure reliability and efficiency. Document data engineering processes, methodologies, and workflows. Communicating analytical findings to senior leaders through data visualization and storytelling Required qualifications, capabilities and skills Minimum 3+ years of hands-on experience in Developing, implementing and maintaining python automation solutions including the use of LLM. Develop, implement, and maintain new and existing solutions Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources . Ability to use LLM to build AI solutions. Perform data analysis and computation to derive actionable insights from the data. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Monitor and troubleshoot data workflows to ensure reliability and efficiency. Document data engineering processes, methodologies, and workflows. Preferred qualifications, capabilities and skills Hand-on experience in Python desktop solution development Knowledge of machine learning and data science concepts will be plus Experience with data visualization tool Tableau will be plus

About Company Kinara Capital is a FinTech NBFC dedicated to driving Financial Inclusion in the MSME sector. Our mission is to transform lives, livelihoods, and local economies by providing fast and flexible loans without property collateral to small business entrepreneurs. Led by a women-majority management team, Kinara Capital values diversity and inclusion and fosters a collaborative working environment. Kinara Capital is the only company from India recognized globally by the World Bank/IFC with a gold award in 2019 as ‘Bank of the Year-Asia’ for our innovative work in SME financing. Kinara Capital is an RBI-registered Systemically Important NBFC. Headquartered in Bangalore, we have 127 branches across Karnataka, Gujarat, Maharashtra, Andhra Pradesh, Telangana, Tamil Nadu, and UT Puducherry with more than 1000 employees. https://kinaracapital.com/ Job Title: BI Engineer Department : Data Science & BI Report To: BI Specialist - Assistant Functional Manager Purpose of Job: To lead a team through entire analytical and BI life cycle of BI analysts to build and deploy dashboards, create automation solutions (such as reports) to infuse core business functions with deep analytical insights. Job Responsibilities: Developing, maintaining, and managing advanced reporting, analytics, dashboards and other BI solutions. Performing and documenting data analysis, data validation, and data mapping/design. Coordinate with customers and Business Analysts to determine business data reporting and analysis requirements. Assist in business report generation to internal and external customers for business decision making. Support Database Administrators and Developers to build data warehousing systems for business intelligence, reporting and analytics. Assist in data administration, modelling and integration activities in data warehouse systems. Implement business intelligence solutions to achieve data reporting and analysis goals. Support the development of business intelligence standards to meet business goals. Coordinate with the business units to identify new data requirements, analysis strategies and reporting mechanisms. Assist in design and generation of reports in timely and accurate manner. Qualifications: Education: B.Tech/B.E. Work Experience: 3+ years as an analytical professional role with 3+ years of BI experience with tools like Talend, Tableau Age: Aged below 35yrs. Other Requirements: Domain knowledge in Financial Services or Marketing is a big plus. Adept at the use of BI reporting tools such as Tableau or Metabase. Understanding data modelling, data schemas (MySQL, Aurora, Snowflake, etc. Understanding database operations and optimization for SQL. Understanding data and query optimization, query profiling, and query performance monitoring tools and techniques. Creating and maintaining business requirements and other technical documentation. Knowledge of ETL, AWS, DBT and GIT will be added advantage. Skills & Competencies Skills Technical Skills Aptitude in Math and Stats Proven experience in usage of SQL, Talend ETL, and Tableau Comfortable with programming in Python and basic statistics Soft Skills Deep Curiosity and Humility Excellent storyteller and communicator Competencies High social responsibility and mission-driven culture Team player High Integrity and focus on Building relationships Inspiring Leader who instills confidence People-oriented and Goal-oriented Initiative Energetic Bias for Action and a commitment to our social mission Place of work: Head office, Bangalore. Job Type: Full Time No. of Posts:

We are looking for a highly skilled and experienced Generative AI Engineer to join our team at Assemblage Entertainment, with 3-8 years of experience in the field. Roles and Responsibility Design and develop generative AI models for various applications. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement data augmentation techniques to enhance model performance. Conduct research on new AI technologies and trends to stay updated. Optimize model performance using hyperparameter tuning and other techniques. Work closely with the development team to ensure seamless integration of AI models. Job Requirements Strong understanding of deep learning concepts, particularly in generative adversarial networks (GANs) and variational autoencoders (VAEs). Experience with programming languages such as Python, Java, or C++ is required. Familiarity with cloud platforms like AWS or Google Cloud for deploying AI models. Knowledge of agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Position:- Assistant Manager-Data Modeling (4-6 Years Of Experience) Deputy Manager-Data Modeling (6-8 Years Of Experience) Manager - Data Modeling (8-10 Years Of Experience) Location and way of working Base location: Chennai This profile involves working from to client location. Overview of role and associated job description Economic Sanctions and Screening team responsible for developing, enhancing, and validating sanctions screening frameworks and models. This role plays a pivotal part in fortifying the firm's financial crime risk posture by ensuring our screening capabilities align with global regulatory expectations and industry best practices. Responsibilities Design and Development: Develop, test, and optimize sanctions screening frameworks including name and payment screening methodologies. Model Enhancement: Evaluate existing sanctions models (fuzzy matching algorithms, rules logic, thresholds) and propose enhancements based on regulatory guidance and operational feedback. Framework Review: Conduct periodic and event-driven reviews of sanctions screening models to ensure continued relevance and compliance with OFAC, EU, UN, and other regulatory standards. Scenario Calibration and Tuning: Support tuning and threshold analysis for match scoring, leveraging historical alert data and false positive metrics. Data Analytics and Insights: Analyze screening outcomes to identify gaps, trends, and patterns that inform risk mitigation strategies and enhance effectiveness. Documentation and Governance: Prepare and maintain comprehensive model documentation, validation reports, and technical specifications in line with model risk governance frameworks. Stakeholder Engagement: Collaborate with compliance officers, technology teams, and business stakeholders to gather requirements, explain model logic, and support audits and regulatory reviews. Desired qualifications Required Experience and Skills: Domain Expertise: 2-10 years of hands-on experience in sanctions screening framework development, tuning, and validation. Familiarity with leading screening platforms (e.g., FircoSoft, Bridger, Actimize, Oracle Watchlist Screening, etc.) and list management practices. In-depth understanding of global sanctions regimes (OFAC, EU, UN, HMT) and related regulatory expectations. Experience in integrating sanctions screening models with broader AML/CFT frameworks. Exposure to AI/ML techniques for entity resolution or fuzzy matching optimization. Prior involvement in regulatory examinations or independent validations of screening tools. Technical Proficiency: Strong programming and scripting skills (Python, R, SQL, SAS). Experience in data modeling, scoring logic calibration, and large-scale dataset analysis. Analytical Thinking: Ability to conduct root cause analysis on alert quality issues. Strong quantitative and qualitative problem-solving capabilities. Communication: Strong written and verbal communication skills, including the ability to explain technical models to non-technical stakeholders. Ability to craft data-backed narratives and present recommendations with clarity. Education Bachelor's Degree / Master's Degree

Role & responsibilities Collaborate with stakeholders to clarify problem statements, narrow down the analysis scope, and use findings to improve product outcomes. Create replicable data analyses using open-source technologies, summarize findings effectively, and communicate assumptions clearly. Build data pipelines to transition ad-hoc analyses into production-ready dashboards for fellow engineers' use. Develop, deploy, and maintain metrics, applications, and tools to empower engineers to access and utilize data insights independently. Write well-structured and thoroughly tested code, ensuring maintainability and scalability for future enhancements. Stay updated on relevant technologies and propose new ones for team adoption.

Build robust ML pipelines with AWS SageMaker, integrate models into production, manage workflows via AWS Data Zone, apply CI/CD best practices, contribute to MLOps research, and optimize ML systems for reliability, speed, and cost-efficiency Required Candidate profile Experienced MLOps Engineer with 5+ yrs in software development, AWS & SageMaker expertise, skilled in Python/R/Scala/Spark, production-grade delivery, and a sharp mindset for MLOps research innovation

Looking for a candidate with R&D experience in software product development, image analysis, computer vision, ML models, neural networks, image forensics, and algorithm design for classification, detection, and anomaly detection tasks.

Were Hiring for Our Deep Learning Research Team - Blubridge Technologies Location: Mandaveli, Chennai Vacancies: 25 Eligible Years: 2023, 2024, 2025 Education: Bachelors or Masters in any discipline What Were Looking For: We are not hiring for conventional software development roles. Instead, were inviting logical, curious individuals to begin their journey toward deep AI research - no prior ML experience required. The following roles serve as onboarding tracks into our Deep Learning Research Team: AI Solutions Architect (R&D) Data Scientist (R&D) Python Programmer (R&D) Full Stack Developer (R&D) All roles are research-aligned and ultimately contribute to building our foundation model from the ground up. What We Offer: A rare opportunity to work in one of India's few LLM research labs Exposure to architecture design, model training pipelines, and scaling strategies Offline, in-person collaboration with a deeply technical team A learning-first environment that values logic, clarity, and curiosity

Role & responsibilities Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP). Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python. Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications. Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs. Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines. Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures. Define and uphold best practices for AI governance, cost optimization and robust performance monitoring. Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications. Design and maintain comprehensive monitoring and logging systems for AI-powered solutions. Collaborate with cross-functional teams including data scientists, ML engineers and software developers to seamlessly integrate AI across the product landscape. Document technical specifications, system workflows and development best practices. Preferred candidate profile Extensive experience in AI implementation incorporating generative models and agentic AI workflows. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is preferred.

We Advantum Health Pvt. Ltd - US Healthcare MNC looking for Data Scientist for our Hyderabad location. We Advantum Health Private Limited is a leading RCM and Medical Coding company, operating since 2013. Our Head Office is located in Hyderabad, with branch operations in Chennai and Noida. We are proud to be a Great Place to Work certified organization and a recipient of the Telangana Best Employer Award. Our office spans 35,000 sq. ft. in Cyber Gateway, Hitech City, Hyderabad Job Title: Data Scientist Location: Hitech City, Hyderabad, India Work from office Ph: 9177078628, 7382307530, 9059683624 Address: Advantum Health Private Limited, Cyber gateway, Block C, 4th floor Hitech City, Hyderabad. Location: https://www.google.com/maps/place/Advantum+Health+India/@17.4469674,78.3747158,289m/data=!3m2!1e3!5s0x3bcb93e01f1bbe71:0x694a7f60f2062a1!4m6!3m5!1s0x3bcb930059ea66d1:0x5f2dcd85862cf8be!8m2!3d17.4467126!4d78.3767566!16s%2Fg%2F11whflplxg?entry=ttu&g_ep=EgoyMDI1MDMxNi4wIKXMDSoASAFQAw%3D%3D Job Summary: We are seeking a highly skilled and results-driven Data Scientist with strong AI/ML expertise to join our technology team in Hyderabad. This role will play a critical part in designing, developing, and deploying machine learning models that support strategic initiatives across healthcare operations, RCM automation, and intelligent decision-making platforms. Location: Hyderabad, India Job Type: Full-time Experience Level: 3 to 8 years Key Responsibilities: Design and implement advanced machine learning and AI algorithms for real-world business use cases (e.g., Denial Prevention, Prior Authorization AI, Coding AI). Work with structured and unstructured healthcare data (e.g., claims, clinical notes, payer data) to create actionable insights. Collaborate with cross-functional teams including data engineers, product managers, and automation developers to deploy end-to-end AI solutions. Build and maintain model pipelines: data preprocessing, feature engineering, training, evaluation, and deployment. Develop NLP models to extract, classify, and interpret clinical and operational data from free-text sources. Evaluate model performance using appropriate metrics and iterate to improve accuracy, precision, and recall. Document experiments, methodologies, and findings to ensure traceability and reproducibility. Contribute to ML Ops efforts to ensure scalable, robust, and production-ready model deployments. Required Skills and Qualifications: Bachelors or Masters in Computer Science, Data Science, AI/ML, or a related field. 3+ years of hands-on experience in data science and machine learning. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers. Strong experience in NLP, classification, entity recognition, or sequence labeling tasks. Familiarity with model versioning, deployment (e.g., Flask, FastAPI), and cloud platforms (Azure, AWS, or GCP). Experience working with healthcare datasets (e.g., claims, EHR, CPT, ICD-10) is highly preferred. Strong problem-solving and communication skills with the ability to explain complex models to non-technical stakeholders. Preferred Qualifications: Exposure to MLOps, model monitoring, and continuous model training pipelines. Experience working in RCM or healthcare IT environments. Contributions to open-source projects or relevant AI/ML publications. Follow us on LinkedIn, Facebook, Instagram, Youtube and Threads for all updates: Advantum Health Linkedin Page: https://www.linkedin.com/showcase/advantum-health-india/ Advantum Health Facebook Page: https://www.facebook.com/profile.php?id=61564435551477 Advantum Health Instagram Page: https://www.instagram.com/reel/DCXISlIO2os/?igsh=dHd3czVtc3Fyb2hk Advantum Health India Youtube link: https://youtube.com/@advantumhealthindia-rcmandcodi?si=265M1T2IF0gF-oF1 Advantum Health Threads link: https://www.threads.net/@advantum.health.india HR Dept, Advantum Health Pvt Ltd Cybergateway, Block C, Hitech City, Hyderabad Ph: 9177078628, 7382307530, 9059683624

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the application development team effectively.- Collaborate with stakeholders to gather requirements and define project scope.- Ensure timely delivery of high-quality applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Strong understanding of cloud-based application development.- Experience in designing scalable and secure applications on Azure.- Hands-on experience with Azure DevOps for CI/CD pipelines.- Knowledge of Azure data storage solutions.- Good To Have Skills: Experience with Azure Machine Learning Services. Additional Information:- The candidate should have a minimum of 15 years of experience in Microsoft Azure Data Services.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Job Overview This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment pipelines.- Familiarity with programming languages such as Python or R.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FSCM Treasury and Risk Management (TRM) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FSCM Treasury and Risk Management (TRM)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FSCM Treasury and Risk Management (TRM)- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 3 year(s) of experience is required Educational Qualification : Graduate Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with stakeholders to understand business needs and translating them into functional design solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather and analyze requirements.- Design and develop applications based on business process requirements.- Implement solutions that align with the overall architecture.- Conduct code reviews and provide technical guidance to team members.- Stay updated on industry trends and best practices to enhance application design. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP ABAP Development for HANA.- This position is based at our Mumbai office.- A Graduate degree is required. Qualification Graduate