3325 Data Scientist Jobs - Page 13

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Greetings from ALIQAN Technologies!! Hiring a Data Scientist for one of our clients' MNC Job Title: Data Scientist Experience: 6-10 years Contract duration: 6 months + extendable Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection, preprocessing, estimation,and Architecture creation Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques, including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, and contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field, and must be experience of 6-10 years. Desirable Skills: Must Have 1. Experience in time series forecasting, regression Model, Classification Model 2. Python, R, Data analysis 3. Large-scale data handling with Pandas, Numpy, and Matplotlib 4. Version Control: Git or any other 5. ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/Azure/ GCP), Docker, Kubernetes 7. Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week Job Type: Full-time Pay: ₹100,000.00 - ₹150,000.00 per month Experience: Data Scientist: 6 years (Required) AI/ML: 6 years (Required) Work Location: In person

About the company: With over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches, IndusInd Bank is a universal bank with a widespread banking footprint across the country. IndusInd offers a wide array of products and services for individuals and corporates including microfinance, personal loans, personal and commercial vehicles loans, credit cards, SME loans. Over the years, IndusInd has grown ceaselessly and dynamically, driven by zeal to offer our customers banking services at par with the highest quality standards in the industry. IndusInd is a pioneer in digital first solutions to bring together the power of next-gen digital product stack, customer excellence and trust of an established bank. Job Purpose: To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration Experience With overall experience between 10 to 15 years, applicant must have minimum 8 to 11 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Experience in translating/mapping relational data models into XML and Schemas Expert knowledge of metadata management, relational & data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical experience (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Very strong in SQL queries Expertise in performance tuning of SQL queries. Ability to analyse source system and create Source to Target mapping. Ability to understand the business use case and create data models or joined data in Datawarehouse. Preferred experience in banking domain and experience in building data models/marts for various banking functions. Good to have knowledge of – -Azure powershell scripting or Python scripting for data transformation in ADF - SSIS, SSAS, BI tools like Power BI -Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. -API integration Responsibility Understanding the existing data model, existing data warehouse design, functional domain subject areas of data, documenting the same with as is architecture and proposed one. Understanding existing ETL process, various sources and analyzing, documenting the best approach to design logical data model where required Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank Candidates selected after the screening rounds will be processed further by IndusInd Bank

7+ years of experience as a Business Analyst or Product Analyst, with at least 2 years in AI/ML or Generative AI-related initiatives. 5+ Yrs experience in Data Science (Python) Proven experience in the Asset and Wealth Management industry (e.g., portfolio management, compliance, AML, KYC, client onboarding, investment advisory). Familiarity with AI tools, frameworks, and platforms (e.g., OpenAI GPT, Azure OpenAI, Hugging Face, LangChain, etc.). Strong understanding of AI concepts such as NLP, machine learning pipelines, LLM fine-tuning, embeddings, and vector databases. Ability to write detailed BRDs, PRDs, and user stories with technical depth. Experience working in Agile/Scrum environments. Proficiency in SQL, Excel, and at least one data visualization or analysis tool (e.g., Power BI, Tableau, Jupyter Notebooks). Excellent communication skills with both technical and non-technical stakeholders.

Role: Data Scientist – Credit & Risk Analytics (2 Years Exp.) Job Summary: We are looking for a hands-on Data Scientist with 2+ years of experience to join our fast- growing NBFC. You’ll play a critical role in developing models and data-driven systems that drive credit underwriting, collections strategy, portfolio monitoring, and fraud risk detection. You will work closely with product, credit, risk, and technology teams to design, build, and deploy analytics solutions in a lean, entrepreneurial environment. Education: Bachelor or above in Engineering / Mathematics /Statistics/ Computer Application Experience: Minimum 2 years of experience in below items: Projects: Statistical Model building, validation and improving Tools: SQL and Python Technology: Cloud based platforms like Azure, Distributed database like HDFS Key Responsibilities: 1. Credit & Risk Modeling : a. Build and maintain credit scorecards, risk-based pricing models, and early warning systems. b. Design segmentation and behavioral models using repayment, bureau, and alternate data. c. Develop PD/EAD/LGD models for Expected Credit Loss (ECL) provisioning. 2. Business Intelligence & Monitoring: a. Create and maintain dashboards on loan performance, delinquency trends, collections efficiency, and customer funnel metrics. b. Build daily/monthly MI reports and KPI trackers for business & risk committees. 3. Data Engineering & Automation a. Write efficient SQL/Python code to clean, transform, and merge data from multiple systems (LMS, CRM, Collections, Bureau). b. Work with tech to integrate ML models into production APIs or workflows. 4. Strategy & Decision Support: a. Support credit policy formulation by analyzing bureau trends, customer behavior, and campaign responses. b. Analyze collections efficiency, field executive performance, and provide actionable insights. 5. Documentation & Governance: a. Maintain thorough documentation for models, assumptions, data sources, and limitations. b. Ensure model governance, versioning, and reproducibility. Required Skills & Experience: 1. 2+ years of hands-on experience in a data science or risk analytics role (preferably in BFSI/NBFC/Fintech). 2. Strong programming skills in Python, SQL, and data visualization tools (Power BI/Tableau). 3. Knowledge of credit bureau data, DPD buckets, underwriting rules, and NBFC compliance requirements. 4. Experience working with structured datasets from LOS/LMS, CRM, and field collections data. 5. Strong analytical thinking, attention to detail and presentation skills. Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Ability to commute/relocate: Kochi, Kerala: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Application Question(s): which industry have you worked for as a data scientist? Current CTC? Notice Period? Experience: Data science: 3 years (Preferred) Python: 3 years (Preferred) Work Location: In person

Job Information Date Opened 08/11/2025 Job Type Full time Industry IT Services City Madhapur State/Province Telangana Country India Zip/Postal Code 500081 About Us About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership. Job Description Job Description: We are looking for a highly skilled Senior Data Scientist with 2–7 years of experience specializing in Python, Large Language Models (LLMs), Agentic AI , NLP, Machine Learning, and Generative AI. The ideal candidate will have a deep understanding of building intelligent systems using modern AI frameworks and deploying them into scalable, production-grade environments. You will work closely with cross-functional teams to build innovative AI solutions that deliver real business value. Responsibilities: Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks. Apply LLMs and Generative AI & Agentic AI techniques to solve real-world problems. Build, train, fine-tune, and evaluate models for NLP and GenAI tasks. Collaborate with data engineers, MLOps, and product teams to operationalize models. Contribute to the development of scalable AI services and applications. Analyze large datasets to extract insights and support model development. Maintain clean, modular, and version-controlled code using Git. Requirements Requirements Must-Have Skills: 2–7years of hands-on experience with Python for data science and ML applications. Strong expertise in Machine Learning algorithms and model development. Proficient in Natural Language Processing (NLP) and text analytics. Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers). Familiarity with model deployment and real-world application integration. Experience with version control systems like Git. Good to Have: Experience with PySpark for distributed data processing. Exposure to MLOps practices and model lifecycle management. Familiarity with cloud platforms such as AWS, GCP, or Azure. Knowledge of vector databases. Benefits Standard Company Benefits

We’re looking for a skilled Data Scientist Role Highlights: Position: Data Scientist Experience: 5+ years Location: Hyderabad-Hybrid Notice Period: Immediate/7 days joiners mandate Job Overview: Must have skills- ML Ops, LLM, RAG, Agentic AI, Vector Database

Job Description About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About The Team DACI Merchandising primarily focused on Assortment planning and store merchandising execution areas. The team is responsible for solving the problem of which items should we be placed in each store and also determining if we are using the retail selling space effectively or not. We are primarily the data team, using big data and machine learning to help the business users make the best assortment and store merchandising execution decisions. Job Summary The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in merchandising like assortment optimization, retail space planning, and product description,. A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members. Roles & Responsibilities Core Responsibilities: You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization. Develop and maintain pipelines for training and deploying machine learning models Develop and maintain forecasting models and tools using frameworks such as TensorFlow Design and deploy scalable API services for distributing model output data Support enterprise forecasting applications Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data Provides actionable insights through data science on Merchandising priorities Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies Years Of Experience 2-5 years of experience in data science Required Minimum Qualifications Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also Knowledge of SQL and various statistical modeling or machine learning techniques Skill Set Required Primary Skills (must have) Hands on experience in AI/ML Hands on experience in Python to build applications that are scalable Statistics Strong problem solving skills Data munging/wrangling Experience with SQL Secondary Skills (desired) Experience with Big Data systems like Hadoop or Big Query or Druid Experience solving data science problems in retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

If you are passionate about data-driven problem-solving and can join immediately, we encourage you to apply. Position: Senior Data Scientist Availability: Immediate Joiner We are seeking a highly skilled professional with 6+ years of experience in advanced data science and machine learning, ready for immediate deployment to our client location. Key Responsibilities: Develop, train, test, and deploy Machine Learning and Deep Learning models. Perform Exploratory Data Analysis (EDA) to derive actionable insights. Analyze time series and event data from Experion DCS systems. Work within Azure Workspace and Jupyter Notebooks to manage and execute data workflows. Required Skills & Experience: Strong proficiency in Python programming. Hands-on experience with EDA techniques and statistical analysis. Proven track record in ML/DL model development and deployment . Experience in processing and analyzing industrial control system data (Experion DCS). Familiarity with cloud-based data science environments, preferably Azure .

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Responsibilities Collect, process, and analyze large datasets from multiple sources Build and deploy machine learning models to solve business problems Design and implement A/B tests and statistical analyses Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements Communicate complex data insights in a clear and actionable manner to stakeholders Develop dashboards and visualizations to monitor key metrics Stay current with the latest trends and technologies in data science and AI Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related field 2+ years of proven experience as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch) Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred Skills & Qualifications Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

About The Opportunity We are a high-growth player in the EdTech and Data Analytics sector, delivering immersive, career-oriented learning experiences and end-to-end data solutions. Our teams turn raw data into actionable insights that drive strategic decisions and optimizations across diverse business functions. We leverage cutting-edge machine learning, large-scale data platforms, and real-time analytics to power next-generation products and services. Role & Responsibilities Design, develop, and deploy robust machine learning models for classification, regression, and recommendation tasks using Python and R. Build and maintain scalable data pipelines for ingestion, transformation, and feature engineering across structured and unstructured sources. Perform statistical analysis and A/B testing to validate model performance, ensuring reliability and accuracy in production environments. Create interactive dashboards and visualizations to communicate insights and KPIs to stakeholders using Tableau, Power BI, or equivalent tools. Collaborate with cross-functional teams—including product managers, engineers, and business stakeholders—to define requirements and translate them into analytic solutions. Monitor model drift, automate retraining workflows, and implement continuous improvement processes to maintain high performance. Skills & Qualifications Must-Have Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 2–5 years of hands-on experience in data science, with strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Solid understanding of statistical modeling, hypothesis testing, and experimental design. Experience building and deploying ML models in production environments (e.g., Docker, Airflow, MLflow). Ability to translate complex data into clear, actionable recommendations and visualizations. Excellent problem-solving skills, with a data-driven mindset and attention to detail. Preferred Experience with big data technologies such as Spark, Hadoop, or Hive. Familiarity with cloud platforms (AWS, Azure, or GCP) and their ML/analytics services. Knowledge of deep learning frameworks (TensorFlow, PyTorch) for advanced modelling. Exposure to NoSQL databases (MongoDB, Cassandra) and real-time data processing. Benefits & Culture Highlights Competitive compensation with performance-based incentives and annual learning stipends. Vibrant, collaborative on-site environment fostering continuous learning and innovation. Opportunities for career growth, mentorship programs, and cross-functional project ownership. Skills: excel,data,data analysis,sql,reporting,python,forecasting,statistical techniques,dashboard creation,edtech,dashboards,gsheets,data cleansing,data manipulation,higher education,data processing,r,visualization tools,data science

We are looking for driven Data Scientist to join our team at Voiceback Analytics in Ahmedabad Experiece-6 to 1 Years Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Work closely with senior data scientists and engineers to implement end-to-end data science solutions. Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in relevant field Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Programming language (Python, SQL) Familiarity with Big Data frameworks and visualization tools ( Tableau and Power BI) Please share your updated cv to hr@voicebackanalytics.com

Job Description Key Accountabilities: Develop new Algorithms that involve descriptive, prescriptive, predictive analytics, advanced statistics, and big Data. Continuously bring in the knowledge of latest techniques and methodologies in Data analytics, Machine Learning and Statistics. Understand complex problem statements and break-down into manageable tasks / work-packages. Strong familiarity with Agile frameworks. Create data visualization to provide analytical insights. Collaborate with several subject matter experts in the organization for deployment and validation of algorithms on existing products. Work with software engineering best practices such as version control, continuous integration, test driven development. Strong rigor in automating repetitive tasks. Define work packages for external partners for analytics task and steer the development by meeting quality requirements along with timeline. Lead and provide technical guidance to a team of data analysts and programmers to derive actionable insights from structured / unstructured data. Ensure quality of data and solution developed. Create high quality documentation of developed solutions. Qualifications Minimum Bachelors / Masters in Engineering with 6-10 years of relevant experience. Strong domain knowledge about internal combustion engine and associated subsystems. Previous experience with creating functions and algorithms to support internal / external customers within an engine development or service based environment. Should be able to identify opportunities for monetizing test bench and service data. Business acumen and strategic inclination to help leadership take data driven decisions. Ability to create business proposals. Strong Programming background and expertise in building machine learning models using Matlab/python or any other programming language. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau Excellent Communication Skills, Stakeholder management Ability to formulate multiple complex problems into hypothesis and proof of concepts for testing. Should have experience in regression analysis and time series data. Able to work in Scrum methodology and Agile framework. Strong analytical skills to identify problems in data and propose solutions. Ability to transform business requirements into data science formulations and implement sustainable and scalable solutions. Attention to detail and strong data orientation. Ability to work in global cross functional teams. German language is an added advantage. Job Category Software Systems Posting Date 11 Aug 2025; 00:08

Job Description About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team DACI Merchandising primarily focused on Assortment planning and store merchandising execution areas. The team is responsible for solving the problem of which items should we be placed in each store and also determining if we are using the retail selling space effectively or not. We are primarily the data team, using big data and machine learning to help the business users make the best assortment and store merchandising execution decisions. Job Summary: The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in merchandising like assortment optimization, retail space planning, and product description,. A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members. Roles & Responsibilities: Core Responsibilities: You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization. Develop and maintain pipelines for training and deploying machine learning models Develop and maintain forecasting models and tools using frameworks such as TensorFlow Design and deploy scalable API services for distributing model output data Support enterprise forecasting applications Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data Provides actionable insights through data science on Merchandising priorities Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies Years of Experience: 2-5 years of experience in data science Required Minimum Qualifications : Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also • Knowledge of SQL and various statistical modeling or machine learning techniques Skill Set Required Primary Skills (must have) Hands on experience in AI/ML Hands on experience in Python to build applications that are scalable Statistics Strong problem solving skills Data munging/wrangling Experience with SQL Secondary Skills (desired) Experience with Big Data systems like Hadoop or Big Query or Druid Experience solving data science problems in retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

About the Role: We are seeking a highly skilled and experienced Data Scientist with 5–8 years of experience to join our AI Engineering team. In this hybrid role, you will work at the intersection of NLP, and AI product development, contributing to end-to-end solutions — from experimentation to deployment. You will collaborate with cross-functional teams including data engineers, software developers, and business stakeholders to develop scalable, production-ready AI solutions. Job Title: Data Scientist – AI Engineering Department: AI Engineering / Advanced Analytics / NLP (Natural Language Processing) Key Responsibilities: Design, develop, and deploy ML/AI models across supervised, unsupervised, and deep learning paradigms. Convert business problems into AI problems, define success metrics, and deliver measurable impact. Collaborate with AI/ML engineers to transition prototypes into production-grade pipelines. Develop and optimize AI workflows, ensuring the pipelines are robust and scalable. Conduct model evaluations, A/B testing, and interpret model results for business impact. Contribute to AI platform initiatives by building reusable components (e.g., model templates, experiment tracking, evaluation frameworks). Leverage cloud-based ML platforms (GCP - Vertex AI) and AI Ops tools for continuous delivery of models. Engage in prompt engineering, fine-tuning, and integrating LLMs or other generative AI models for enterprise use cases. Collaborate with product managers and stakeholders to align model development with strategic business goals. Required Qualifications: 5–8 years of experience in data science(NLP) or machine learning roles, with a strong foundation in statistics, machine learning, and Python. Proficiency in Python, with hands-on experience using AI tools - VertexAI, Langchain and other Agent Framework Exposure to LLMs (Large Language Models) and experience with prompt engineering or fine-tuning is a strong plus. Solid experience in building and deploying AI models in production (batch or real-time). Strong understanding of prompt engineering, model selection, and Agents. Experience working with AIOps tools like Vertex AI or similar Familiarity with CI/CD for ML, containerization (Docker), and version control (Git). Excellent communication and stakeholder management skills. Nice to Have: Prior experience with vector databases, RAG pipelines, AIOps Understanding of data governance, model monitoring, and responsible AI principles. Required Skills: GCP Vertex AI Prompt engineering Python Will help if they know Machine learning and deep learning RAG's Deployment and Scaling AI applications Postgres Vector search MCP NLP Why Join Us: Work on cutting-edge AI technologies within a high-impact AI team. Build solutions that scale across multiple domains and business functions. Collaborative and innovation-driven work culture. Opportunities to contribute to platform-level tooling and AI accelerators.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Title: Data Scientist / Data Engineer / Machine Learning Engineer Location: Hyderabad / Vizag / Remote Shift: UK Shift – 2:00 PM to 11:00 PM IST Experience: 8+ years Immediate Joiners Preferred Job Summary We are seeking a highly skilled Data Scientist / Data Engineer / Machine Learning Engineer with strong expertise in Data Robot , Azure AI , Azure Infrastructure , Python , and Machine Learning . This role will be responsible for solving complex business problems using advanced statistical modeling, AI/ML algorithms, and big data technologies. Key Responsibilities Lead data mining and extraction activities; apply algorithms to derive actionable insights. Understand data profiles, limitations, and apply findings to business solutions. Collaborate with cross-functional teams to drive innovation and improve performance. Explore and analyze data patterns using modern data science tools. Translate business requirements into effective data science deliverables. Develop and implement robust, scalable data products and AI/ML models. Apply best practices in AI/ML projects, ensuring scalability and operational efficiency. Required Qualifications 8+ years of experience in Data Science, AI, and Machine Learning. Proven experience with Data Robot , Azure AI , and Azure Infrastructure . Strong skills in Python and Big Data technologies . Experience with end-to-end ML deployments and migrations . Proficiency in advanced SQL across multiple syntaxes. Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field. Strong communication skills and ability to work independently. Expertise in statistical modeling, model evaluation, tuning, and scalability. Preferred Skills Ability to work in fast-paced environments with minimal supervision. Knowledge of software engineering principles. Strong analytical and problem-solving mindset. Apply Now Send your resume to: [email protected] Call us at: +91 96003 77933 Job Type: Full-time Work Location: In person

📣 We are seeking a proactive and detail-oriented Data Scientist to join our team and contribute to the development of intelligent AI-driven production scheduling solutions. This role is ideal for candidates passionate about applying machine learning, optimization techniques, and operational data analysis to enhance decision-making and drive efficiency in manufacturing or process industries. You will play a key role in designing, developing, and deploying smart scheduling algorithms integrated with real-world constraints like machine availability, workforce planning, shift cycles, material flow, and due dates. ✔️ Experience: Minimum 2+Years 📍 Locations: Noida ✔️ Must Have Required Skills: Minimum 2+year of experience in data science roles with exposure to: AI/ML pipelines, predictive modelling, Optimization techniques or industrial scheduling . Proficiency in Python, especially with: pandas, numpy, scikit-learn ortools, pulp, cvxpy or other optimization libraries, matplotlib, plotly for visualization Solid understanding of: Production planning & control processes (dispatching rules, job-shop scheduling, etc.), Machine Learning fundamentals (regression, classification, clustering) Familiarity with version control (Git), Jupyter/VSCode environments, and CI/CD principles Preferred (Nice-to-Have) Skills: Time-series analysis, sensor data, or anomaly detection, Manufacturing execution systems (MES), SCADA, PLC logs, or OPC UA data, Simulation tools (SimPy, Arena, FlexSim) or digital twin technologies Exposure to containerization (Docker) and model deployment (FastAPI, Flask) Understanding of lean manufacturing principles, Theory of Constraints, or Six Sigma 🔎 Key Responsibilities: 1. AI-Based Scheduling Algorithm Development Develop and refine scheduling models using: Constraint Programming  Mixed Integer Programming (MIP) Metaheuristic Algorithms (e.g., Genetic Algorithm, Ant Colony, Simulated Annealing) Reinforcement Learning or Deep Q-Learning Translate shop floor constraints (machines, manpower, sequence dependencies, changeovers) into mathematical models. 2. Data Exploration & Feature Engineering Analyze structured and semi-structured production data from MES, SCADA, ERP, and other sources. Build pipelines for data preprocessing, normalization, and handling missing values. Perform feature engineering to capture important relationships like setup times, cycle duration, and bottlenecks. 3. Model Validation & Deployment Use statistical metrics and domain KPIs (e.g., throughput, utilization, makespan, WIP) to validate scheduling outcomes. Deploy solutions using APIs, dashboards (Streamlit, Dash), or via integration with existing production systems. Support ongoing maintenance, updates, and performance tuning of deployed models. 4. Collaboration & Stakeholder Engagement Work closely with production managers, planners, and domain experts to understand real world constraints and validate model results. Document solution approaches, model assumptions, and provide technical training to stakeholders. 🎓 Qualifications: Bachelor’s or Master’s degree in: Data Science, Computer Science, Industrial Engineering, Operations Research, Applied Mathematics, or equivalent. 🌐 To know more about us Visit : https://algo8.ai/ 📧 Interested Applicants can share the resume: smita.choudhury@algo8.ai

The Opportunity We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions explicitly tailored toward the needs of AGEL. Technical Skills Language: Python Proficiency in data mining, mathematics, and statistical analysis Machine learning techniques and algorithms, with good expertise in optimization Cloud: GCP (Preferred) /Azure Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Run optimization algorithms to identify the best solution (Linear Programming expertise required) Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Proficiency in Python and Machine Learning. Experience with Generative AI and Agentic AI models. Strong analytical mind and business acumen. Excellent problem-solving aptitude. Effective communication and presentation skills. Knowledge of Indian power sector will be a definite plus

We are at the forefront of transforming industries through cutting-edge AI technology. Our team is focused on developing innovative solutions in the field of Generative AI, Machine Learning, and Natural Language Processing. Join us and be a part of our journey to revolutionize AI use cases across various industries. Job Summary: We are seeking a highly skilled Gen AI Engineer with expertise in Python and Pyspark to work on the development and implementation of Generative AI models, LLMs , and Deep Learning solutions. The ideal candidate will be passionate about leveraging AI technologies such as Transformers , NLP , and RAG for building intelligent systems. A solid understanding of DevOps , CI/CD , and Deployment processes, along with the ability to visualize data, is a plus. Responsibilities: Design, develop, and implement Generative AI use cases with a focus on Large Language Models (LLMs) . Apply Deep Learning techniques (CNN, LSTM, RNN) to develop models that solve real-world problems. Leverage Machine Learning algorithms for classification, forecasting, and other AI-driven tasks. Utilize Natural Language Processing (NLP) techniques, including transformers, to develop state-of-the-art language models. Collaborate with cross-functional teams to gather requirements and deliver AI solutions aligned with business goals. Implement end-to-end pipelines with Python and Pyspark , ensuring scalability and performance. Work on DevOps and deployment using Docker , CI/CD practices to ensure seamless integration and deployment. Use visualization tools like Power BI and Matplotlib to communicate results effectively to stakeholders. Optimize models for production use, ensuring high performance and reliability. Mandatory Skills: Strong experience with Python and Pyspark for AI and data engineering tasks. Expertise in Generative AI , including LLMs and RAG . Proficiency in Deep Learning models (CNN, LSTM, RNN). Solid understanding of Machine Learning techniques (Classification, Forecasting). Experience with NLP , specifically Transformers and related models. Knowledge of API Development and experience working with SQL . Hands-on experience with DevOps , Docker , and CI/CD . Data visualization skills using Power BI or Matplotlib . Preferred Skills: Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployments. Experience working with distributed systems and frameworks. Experience with Reinforcement Learning or other advanced AI techniques. Qualification: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.

Required Skills 2-5 years of experience in data engineering, analytics and data sciences. Experience in LLM and Gen AI. Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc. Familiarity with ML Ops tools/platforms Familiarity with Docker and Kubernetes Proficiency in one or more visualization tools like Tableau etc. Experience engineering information out of massive, complex and, in some cases, unstructured datasets. Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery. Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization. Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity. Excellent problem-framing, problem solving and project management skills and ability to change direction quickly. Ability to balance and prioritize multiple projects. Experience working within a Cloud based environment, SaaS. Experience with git and version control workflows. Proficient in performance tuning and debugging

Key Responsibilities: ● Utilize Python to build and sustain software applications with a strong focus on AI and machine learning. ● Ensure performance, usability, and scalability in AI applications by leveraging advanced Python techniques. ● Identify and resolve issues to maintain low latency and high availability in AI systems. ● Participate in and conduct code reviews, providing constructive feedback on software design and architecture. ● Work with cross-functional teams to define project requirements and scope, ensuring alignment with AI objectives. ● Apply your expertise in AI libraries and frameworks like langchain, openai, llamaIndex, Pandas, Numpy, or similar tools. ● Work with Large Language Models such as GPT-4, Llama and Vector databases like Pinecone, chromadb, FAISS. ● Integrate Python applications with databases, ensuring efficient data storage and retrieval. ● Utilize Amazon Web Services (AWS) for deploying and managing cloud-based AI applications. ● Utilize robust analytical and problem-solving abilities to tackle complex AI challenges. ● Exhibit excellent communication and teamwork skills to collaborate effectively within the team and with stakeholders Key Requirements: ● Degree in Computer Science, Engineering, or a related field. ● Minimum 6 years of relevant experience is a must. ● Proven experience as a Python Developer, with a focus on AI and machine learning projects. ● Strong knowledge of Django, Flask, or similar Python frameworks, with an emphasis on AI integration. ● Proficient in integrating Python applications with databases. ● Experience with Amazon Web Services (AWS) for cloud-based solutions. ● Familiarity with large language model (LLM) frameworks for AI development. ● Familiarity in concepts such as data chunking, embedding, and various similarity search approaches like cosine similarity. Why Join Us? ● Be part of a team that is working on cutting-edge technology products in the AI and SaaS space. ● Experience high growth potential within a pioneering company. ● Engage in a challenging environment where you solve interesting problems every day. ● Work on innovative products that have a real impact on enterprise customers. ● Collaborate with a talented and diverse team of experts in the field. ● Enjoy a flexible work environment with ample opportunities for growth and development. ● Receive a competitive compensation and benefits package.

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience post internship, in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you!

Note: We are hiring Y25 Company Role Overview We are looking for a Senior AI/Data Scientist with 3-5 years of experience who is passionate about building AI and machine learning solutions for real-world business problems. As part of our AI team, you will design, develop and deploy advanced machine learning models, Generative AI applications and AI-powered decision systems. You will work with structured and unstructured data, develop predictive models, AI-driven insights and business-aware Generative AI agents that enhance productivity and decision-making. Key Responsibilities • Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems. • Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. • Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions. • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG). • Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains. • Deliver embedded analytics within business systems to drive real-time operational insights. Required Skills & Experience • 3–5 years of experience in applied Data Science or AI roles. • Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities. • Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions. • Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing. • Strong skills in working with structured and unstructured data, including advanced feature engineering. • Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoE’s). • Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI. • Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus. What We Look for (Values & Behaviours) • AI-First Thinking – Passion for leveraging AI to solve business problems. • Data-Driven Mindset – Ability to extract meaningful insights from complex data. • Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset. • Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities. • Business Impact – Focus on measurable outcomes and real-world adoption of AI. • Continuous Learning – Stay updated with the latest AI trends, research and best practices. Why Join Us? • Work on cutting-edge AI & GenAI projects. • Be part of a high-Caliber AI team solving complex business challenges. • Exposure to global enterprises and AI-driven decision-making. • Competitive compensation and fast-track career growth in AI. • Get mentored by best-in-class AI leaders who will help shape you into a top AI professional