1487 Data Scientist Jobs

The Role and Responsibilities We have open positions ranging from Associate Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

Work with the founder and core team to build and optimize quant trading strategies. Use Python and ML to analyze market data. No prior finance experience needed—training in options and execution provided. Just bring curiosity and coding skills!

Project description Luxoft DXC Technology Company is an established company focusing on consulting and implementation of complex projects in the financial industry. At the interface between technology and business, we convince with our know-how, well-founded methodology and pleasure in success. As a reliable partner to our renowned customers, we support them in planning, designing and implementing the desired innovations. Together with the customer, we deliver top performance! For one of our Clients in the Insurance Segment we are searching for a Senior Data Scientist with Databricks and Predictive Analytics Focus. Responsibilities Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML Build end-to-end ML pipelines (data ingestion feature engineering model training deployment) on Databricks Lakehouse Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions Troubleshoot issues in Spark Jobs and Databricks Environment. Client is in the USA. Candidate should be able to work until 11.00 am EST to overlap a few hours with the client and be able to attend meetings. Skills Must have : 5+ years in predictive analytics, with expertise in regression, classification, time-series modeling Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark Familiarity with MLflow, Feature Store, and Unity Catalog for governance. Industry experience in Life Insurance or P&C. Skills: Python, PySpark , MLflow , Databricks AutoML Predictive Modelling ( Classification , Clustering , Regression , timeseries and NLP) Cloud platform (Azure/AWS) , Delta Lake , Unity Catalog Nice to have Certifications: Databricks Certified ML Practitioner OtherLanguagesEnglishC1 Advanced SenioritySenior

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Title : Data Scientist Location State : Tamil Nadu,Telangana Location City : Hyderabad, Chennai Experience Required : 4 to 6 Year(s) CTC Range : 7 to 11 LPA Shift: Day Shift Work Mode: Onsite Position Type: C2H Openings: 2 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries. About The Job: Requirements: 5+ years in predictive analytics, with expertise in regression, classification, time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark. Familiarity with MLflow, Feature Store, and Unity Catalog for governance. Industry experience in Life Insurance or P&C. Skills: Python, PySpark , MLflow, Databricks AutoML. Predictive MoClienting (Classification , Clustering , Regression, timeseries and NLP). Cloud platform (Azure/AWS) , Delta Lake, Unity Catalog. Certifications; Databricks Certified ML Practitioner (Optional) Essential Job Functions: Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML. Build end-to-end ML pipelines (data ingestion, feature engineering, model training, deployment) on Databricks Lakehouse. Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking. Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs. Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions. Troubleshoot issues in Spark Jobs and Databricks Environment. Qualifications: Skill Required: Data Science, Python for Data Science Experience Range in Required Skills: 4-6 Years How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000

We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You – Experience, Education, Skills, And Accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years’ experience in a consultative, client-facing role At least 3 years’ experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth About The Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivate’s RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis. Location - Bengaluru At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Responsibilities • Statistical Modelling and Machine Learning: Develop predictive models and algorithms to support business decision-making, optimize operations, and enhance customer experiences. • Data Mining and Analysis: Perform complex data analysis to extract actionable insights from various data sources, including structured and unstructured data. • Data Pipeline Development: Build and maintain robust data pipelines for efficient data collection, ingestion, processing, and distribution. This often involves ETL (Extract, Transform, Load) processes and data integration from various sources. • Ensuring Data Quality and Integrity: Implement data validation and cleaning processes to ensure accuracy and consistency of data. • Monitoring and Logging: Implement monitoring and logging solutions for data science applications to ensure performance and identify issues quickly. • Data Visualizations: Create intuitive visualizations and comprehensive reports to communicate findings and recommendations to stakeholders. • Collaborative Model Development: Work closely with other data scientists and stakeholders to integrate data science models into the production environment, ensuring seamless deployment and scalability. Required skills and qualifications • 3-5 years of hands-on experience in data science and machine learning, with a focus on statistical modeling and predictive analytics. • Strong programming skills in Python, with experience in machine learning libraries such as scikit-learn, XGBoost, and Prophet. • Proficient in SQL for data extraction, transformation, and analysis. • Experience with EDA, feature engineering and ML. • Familiarity with transformer-based models. • Good Analytical skills Preferred skills and qualifications • Bachelors degree (or equivalent) in statistics, applied mathematics, or related discipline. • Two or more years of project management experience • Professional certification

Experience Required: 3+ Years max 5 yrs Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹90,000.00 per month Benefits: Cell phone reimbursement Paid sick time Schedule: Day shift Monday to Friday Morning shift Work Location: In person

We are seeking a detail-oriented and creative Data Scientist to join our analytics team. The ideal candidate is passionate about deriving insights from data, building robust machine learning models, and helping the business make data-driven decisions. You will work closely with cross-functional teams including product, engineering, and business strategy. Key Responsibilities Analyze large volumes of structured and unstructured data to uncover insights and trends. Design, build, and validate predictive models and machine learning algorithms. Collaborate with stakeholders to define business problems and translate them into analytical solutions. Use statistical tools and techniques (e.g., regression, clustering, classification) to inform decisions. Communicate findings through effective data visualizations and presentations. Maintain and enhance existing data pipelines and model performance. Assist in deploying models into production using APIs or cloud services. Stay updated with the latest trends and technologies in data science and machine learning. Job Types: Full-time, Permanent Pay: Up to ₹40,000.00 per month Benefits: Internet reimbursement Paid sick time Schedule: Day shift Monday to Friday Rotational shift Supplemental Pay: Overtime pay Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Language: English (Required) Location: Surat, Gujarat (Required) Work Location: In person

About You You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend. You are hands-on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed. You know that having a great model isn’t enough, you love to derive the “so what” from your models and tell compelling stories which inspire action and drive growth. A day in the life of... You’ll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies. You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy. As part of this role you will need to : Share your experience & knowledge and build Nestlé’s internal modelling capability Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives Work closely with to identify and answer business problems/questions using appropriate modeling techniques on available data Evangelize and provide advisory services around data science capabilities and knowledge within Nestlé Work with large, complex data sets and solve non-standard problems What Will Make You Successful Be educated to MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics or Data Science. Have proven experience of handling large datasets and reporting automation. Be able to demonstrate an excellent understanding of marketing mix modelling and price & promotion analytics. Experience with dynamic linear models/state space models is of particular interest. Have the ability to network and influence at senior levels both internally and externally. Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders. Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration. Have advanced MS Excel, SQL, R, Python (or similar) experience Nestlé Nestlé enjoys a reputation as the world’s largest food and beverage company driven by our purpose - enhancing the quality of life of everyone, today and for generations to come. At Nestlé, we constantly explore and push the boundaries of what is possible with foods, beverages, and nutritional health solutions to enhance quality of life and contribute to a healthier future to better support individuals, families, communities and the planet. We have more than 2000 brands ranging from global icons to local favourites and are present in 190 countries worldwide. About IT In Nestlé We are a team of IT professionals from diverse cultures, genders and age groups in the world’s largest food and beverage company. We innovate every day through forward- looking technologies to create opportunities for Nestlé’s digital challenges with our consumers, customers, and employees. We have exciting positions in our new Nestlé global services operations based in Bangalore, which works alongside our Regional IT Hub in Sydney and Global IT hubs to provide technology services for Asia, Oceania, and Africa (AOA). This setup will design, implement, and maintain IT solutions and sharpen Nestlé’s focus in the growing areas of digital, analytics and innovation to support changing customer, consumer and shopper focus. When you join our IT team, you’ll have the opportunity to collaborate across local and global Nestlé teams and external partners to deliver innovative technologies that create tangible business value and contribute proactively to our sustainability goals. Our diversity brings fresh and innovative thinking to how we approach new and existing challenges while embracing different cultures, genders, sexual orientation, abilities and flexible ways of working.

About the Company We are seeking a highly skilled Senior AI/ML Engineer to join our team in a hybrid (offshore) role. The ideal candidate will have a strong background in machine learning engineering, particularly with the Databricks ML stack, Python, and ML Ops. This role focuses on developing, deploying, and maintaining high-performance machine learning models. Experience with Azure Cognitive Services, Azure OpenAI, and AI governance will be an added advantage. About the Role The Senior AI/ML Engineer will be responsible for various aspects of machine learning development, ML Ops, model performance, Azure integration, AI governance, and collaboration with cross-functional teams. Responsibilities Machine Learning Development: Design, develop, and deploy machine learning models using the Databricks ML stack. Write efficient and scalable code in Python for model training and evaluation. Implement feature engineering, data preprocessing, and model tuning techniques to enhance model performance. ML Ops: Establish and manage ML Ops pipelines for continuous integration and continuous deployment (CI/CD) of machine learning models. Automate model training, testing, and deployment processes to ensure robust and reliable model performance. Monitor and maintain deployed models to ensure they meet performance and reliability standards. Model Performance: Conduct rigorous testing and validation of machine learning models to ensure accuracy, efficiency, and scalability. Utilize performance metrics to assess model effectiveness and make data-driven improvements. Collaborate with data scientists and engineers to troubleshoot and resolve model performance issues. Azure Integration: Integrate machine learning models with Azure services, leveraging tools like Azure Cognitive Services and Azure OpenAI. Utilize Azure resources for model training, deployment, and management. Explore and implement AI solutions using Azure's advanced capabilities. AI Governance: Ensure compliance with AI governance policies and best practices. Implement ethical AI practices and contribute to the development of governance frameworks. Monitor and address potential biases and ethical concerns in machine learning models. Collaboration and Coordination: Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders. Coordinate with offshore teams to ensure seamless collaboration and project alignment. Participate in team meetings, providing insights and updates on project progress. Required Skills Strong background in machine learning engineering, particularly with the Databricks ML stack, Python, and ML Ops.,Rag,GenAI,Chatbot

Job Description: We are looking for an experienced Data Scientist with over 5 years of hands-on expertise in machine learning , particularly in clustering and classification tasks . The ideal candidate will have practical experience working with Large Language Models (LLMs) such as GPT, especially in areas like prompt engineering, summarization, and fine-tuning . Exposure to life sciences or biomedical datasets is highly desirable. Key Responsibilities: Design and implement machine learning models for clustering and classification. Work with LLMs for experimentation, evaluation, and fine-tuning. Apply data science techniques to healthcare or biomedical datasets. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings clearly through reports, dashboards, and presentations. Must-Have Skills: 5+ years of experience in data science and machine learning. Strong proficiency in clustering and classification techniques. Hands-on experience with Python and libraries like Scikit-learn, Pandas, NumPy. Experience working with LLMs (e.g., GPT) for real-world use cases. Exposure to healthcare, clinical, or life sciences datasets (preferred). Strong statistical analysis and data interpretation skills. Excellent communication and problem-solving abilities. Preferred Candidate Profile: Immediate joiners or candidates with a notice period of 015 days . Passionate about applying AI/ML to real-world problems in life sciences. Comfortable working in a fast-paced, collaborative environment.

Senior Data Scientist We are seeking a highly skilled and motivated Data Scientist with expertise in Natural Language Processing (NLP), Computer Vision (CV), Generative AI , and Python-based API development . The ideal candidate will have strong experience working with unstructured data, building and deploying AI models, and working in cloud-native environments (GCP preferred) . This role will focus on building scalable, real-world AI/ML solutions, collaborating with cross-functional teams, and contributing to AI-driven innovation. Key Responsibilities: Design and develop robust NLP and CV models to extract insights from text and image data. Work with Generative AI frameworks (e.g., Hugging Face, OpenAI) to build and fine-tune LLMs for real-time applications. Build and expose AI models as APIs using FastAPI or similar Python frameworks. Perform advanced data preprocessing, feature extraction, model training, and evaluation . Implement scalable AI solutions leveraging Google Cloud Platform (GCP) services such as Vertex AI and BigQuery. Collaborate with data engineers, ML engineers, and business stakeholders to define and execute AI/ML strategies. Keep up with emerging trends in AI/ML, particularly in GenAI and foundation models, and apply them to solve real-world problems. Required Skills: Core Technical Skills: Proficiency in Python with solid understanding of Object-Oriented Programming (OOPs) Experience in: Natural Language Processing (NLP) – sentiment analysis, NER, text classification Computer Vision (CV) – image processing, OCR, object detection Generative AI – working with Hugging Face Transformers, LLM APIs, prompt engineering Strong understanding of ML algorithms , deep learning frameworks (PyTorch/TensorFlow) API development using FastAPI Cloud & MLOps Skills: Hands-on experience with Google Cloud Platform (GCP) , especially: Vertex AI BigQuery Cloud Functions/Run Familiarity with containerization tools (e.g., Docker ) and Git-based version control Understanding of MLOps practices – model lifecycle, CI/CD for ML Good to Have: Experience working with Hugging Face model hub , OpenAI APIs Knowledge of LangChain , RAG pipelines , or similar GenAI orchestration tools Exposure to responsible AI practices , model explainability, and bias detection Basic understanding of data engineering workflows Soft Skills: Excellent problem-solving and analytical skills Strong communication and collaboration across technical and non-technical teams Ability to work in agile and fast-paced environments Continuous learning mindset with an interest in AI innovation Experience : 5Yrs to 12 Yrs Location : Chennai/Pune/Coimbatore/Bangalore Notice Period : Immediate Regards, TA Team KANINI Software Solutions

About the role Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). You will be responsible for Please refer "You will be responsible for " You will need Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). Whats in it for you? Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). About Us As one of the world’s largest retailers and the largest private employer in the United Kingdom (second largest after the UK government) Tesco serves millions of customers a week in our stores and online portal. Tesco Bengaluru is the only international technology and retail operations centre for Tesco worldwide – we make the Tesco experience better for millions of our customers and simpler for over 4,60,000 colleagues around the world. Established in 2004, Tesco Bengaluru is pivotal to Tesco, and we enable its business with our expertise in technology, business operations, property, finance and commercial services.

Job Description Own the quality of end to end learning experience for our global flagship programs in the domain of analytics, data science and artificial intelligence Own the hands on development of all the different components of the learning experience, including but not limited to video content, hands-on/ labs material, projects and various other learning activities/interventions. This will include engaging with SMEs/faculties/industry experts. Be a mentor / training assistant to hundreds of global professional by providing technical support, guidance and feedback in a timely manner Develop and leverage analytics powered solutions to continuously monitor and identify opportunities to improve quality of the learning experience in terms of appropriateness, accuracy, richness and outcomes. This will involve solving a variety of business problems using data. Be an active contributor to organisation building by identifying and executing on various growth as well as capability development opportunities, in terms on new products or processes. Join us if You have an entrepreneurial bug You work best under no adult supervision You get all the weird ideas and a sudden urge to implement them You believe education is beyond books and can be damn exciting You feel all work and no play makes Jack a dull boy We walk the talk and believe in the same learning experience for our people; we do not say we ignite. Qualifications 1+ years of working experience in Data Science, Analytics or Artificial Intelligence Have solved an end-to-end business problem or been part of a problem-solving journey Strongly mandatory - 1+ year experience in using SQL to query data and Python to manipulate data and draw insights from large data sets Experience in creating and using machine learning algorithms and statistical modeling methods Strong written, verbal, and presentation skills with the ability to work through complex concepts in easy-to-understand language Experience with open-source DL toolkits such as TensorFlow, PyTorch, Hugging Face

K&K Talents. is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India who is actively hiring candidates to expand their teams. Title: Data Scientist Location: Pan India Employment Type: C2H Salary Budget: 60K - 70K p.m Experience: 3 to 5+ years Role Summary: As a Data Scientist / AI Expert, you will lead the development of intelligent systems that enhance fraud detection, transaction scoring, and customer insights. You will work on training ML models using real-time and historical payment data while ensuring data privacy and compliance. Key Responsibilities: Build ML models for fraud detection, anomaly detection, and transaction scoring. Analyze large volumes of transactional, behavioral, and device data. Create data pipelines and feature engineering workflows. Collaborate with backend teams to integrate AI models …

Payroll: TSIT Digital Client:*** Location: Pan India Interview: Face 2 Face one round Python, AWS Bedrock including Knowledge Bases, AWS Back End Data & AI Pipeline (AWS CloudFormation), AWS API Gateway & Lambda, AWS EventBridge, AWS Step Functions, AWS Textract, LLM models using the LangChain framework

Data Science with Python (AI/ML) Job Location: Bangalore only Work Experience: 3+ years of professional experience in software development Education Qualification: BE/Btech/MCA (Full time) About the Role: Seeking a highly skilled and innovative Software Engineer to join our dynamic team. The ideal candidate will be passionate about solving complex problems related to data, labeling, and accuracy, and will play a crucial role in enhancing the performance of our platform. This role requires a deep understanding of data science principles, strong analytical skills, and the ability to develop and implement cutting-edge solutions, with a particular focus on Python. Key Responsibilities: Innovate in Data Science: Develop and implement innovative solutions to address complex data-related challenges using Python. Explore and apply advanced data science techniques to improve data labeling and accuracy. Problem Solving: Identify and solve big problems related to data processing, management, and analysis. Collaborate with cross-functional teams to understand and address data-related issues. Performance Improvement: Analyze and optimize the performance of our data platform. Implement strategies to enhance the efficiency and scalability of data processing workflows using Python. Collaboration and Communication: Work closely with data scientists, engineers, and other stakeholders to ensure seamless integration of data solutions. Communicate complex technical concepts to non-technical stakeholders effectively. Continuous Learning: Stay updated with the latest trends and advancements in data science and related technologies. Participate in knowledge-sharing sessions and contribute to the continuous improvement of the team. About the company: Company website (www.edgeverve.com) Edgeverve Systems Limited, an Infosys Company, is a global leader in AI and Automation, assisting clients thrive in their digital transformation journey. Our mission is to create a world where our technology augments human intelligence and creates possibilities for enterprises to thrive. Our comprehensive product portfolio across AI (Infosys Nia), Automation (AssistEdge) and AI enabled Business Applications (TradeEdge, FinXEdge, ProcureEdge) helps businesses develop deeper connections with stakeholders, power continuous innovation and accelerate growth in the digital world. Disclaimer: EdgeVerve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment.

Key Responsibilities Leadership & Delivery Oversight Lead and manage cross-functional marketing teams delivering services across content, design, paid media, campaign management, and analytics. Set up and drive operational discipline, excellence, and consistency in marketing delivery across global regions. Build and nurture scalable, agile teams in a GCC or shared services setup. Manage a team size of 30-60+ team members. Entrepreneurial Thinking and approach: Spearhead the development of new service offerings from the ground up byidentifyingneed and capability gaps, partnering withbusiness and marketingstakeholders, and leading end-to-end execution from ideation to implementation. Independently build and execute strategic roadmaps,demonstrateagility in navigating shifting priorities, and take full ownership of high-impact growth initiatives by setting Stakeholder Management Partner with senior global marketing leaders and stakeholders to define priorities, align on KPIs, and deliver high-impact outcomes. Act as a strategic advisor and point of contact for global marketing leads across business units. Marketing Services Delivery Oversee delivery of multi-channel digital campaigns, content marketing, social media, and internal communication programs. Partner with analytics teams to ensure data-driven decision making and campaign optimization. Ensure high standards of creativity, efficiency, and performance across all outputs. Governance & Operations Implement strong governance models to manage service delivery, SLAs, resource planning, and reporting. Build SOPs, playbooks, and knowledge frameworks to support global adoption and replication Business Development & Expansion Identify new marketing service opportunities within the organization and with external partners. Lead proposals, pilots, and onboarding of new service areas and geographies. Collaborate with business development and transformation teams to scale service offerings. Key Requirements 15-18 years of progressive experience in marketing, preferably in a global marketing agency or GCC. Proven experience in building, scaling, or expanding marketing service team Strong business development acumen in marketing services from pitching to delivery. Demonstrated ability to manage a portfolio of marketing services, including digital content, design, social media, paid media, and analytics. Excellent stakeholder management skills; adept at working in a matrixed, cross-cultural environment. Strong understanding of marketing operations, martech, and performance measurement. Outstanding communication and leadership skills; capable of influencing without authority. Preferred Qualifications Masters in Marketing, Communications, Business Administration, or related field. Experience working with regional/global teams across North America, Europe, or APAC. Exposure to Agile or hybrid project management methodologies.

Role and responsibilities: Leadership and Mentorship Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced méthodologies, and carrer development. Project Management : Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous Learning : Stay at the forefront of industry trends, new technologies, and méthodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder Engagement : Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of Insights : Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive Models : Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative Research : Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis : Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance Metrics : Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit Analysis : Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm Development : Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and Simulation : Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. What we're looking for Advanced Statistical Techniques : Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AI : Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming Languages : Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management : Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data Visualization : Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud Computing : Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative Analysis : Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic Trading : Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Requirements : A bachelor's degree in a related field, such as computer science, data science or statistics.

We are seeking a detail-oriented and creative Data Scientist to join our analytics team. The ideal candidate is passionate about deriving insights from data, building robust machine learning models, and helping the business make data-driven decisions. You will work closely with cross-functional teams including product, engineering, and business strategy. Key Responsibilities Analyze large volumes of structured and unstructured data to uncover insights and trends. Design, build, and validate predictive models and machine learning algorithms. Collaborate with stakeholders to define business problems and translate them into analytical solutions. Use statistical tools and techniques (e.g., regression, clustering, classification) to inform decisions. Communicate findings through effective data visualizations and presentations. Maintain and enhance existing data pipelines and model performance. Assist in deploying models into production using APIs or cloud services. Stay updated with the latest trends and technologies in data science and machine learning. Job Types: Full-time, Permanent Pay: Up to ₹40,000.00 per month Benefits: Internet reimbursement Paid sick time Schedule: Day shift Monday to Friday Rotational shift Supplemental Pay: Overtime pay Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Language: English (Required) Location: Surat, Gujarat (Required) Work Location: In person

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Data Scientist What You’ll Do On The Job Understand business problems and formulate hypothesis Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on Performing data quality checks for quality assurance Build data pipelines to supply quality data to machine learning model in production environment Supports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner Practice industry well-known Machine Learning Framework and best practices Who’ll be a good fit: Proven working experience of 2+ years as a Data Scientist Strong in mathematics - statistics, probability, linear algebra, time series Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language) Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning. Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building Write scalable scripts to fetch or modify data from API endpoints Exposure to cloud technology is preferred (Azure) Excellent critical thinking, verbal, and written communication skills Equal Opportunities Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career. Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Employer Education

Principle purpose of the role The Senior Data Scientist supports the management of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Senior Data Scientist plays a pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions. Key Responsibilities/Accountabilities Leadership and Strategy: Manage data scientists, providing mentorship, guidance, and fostering a collaborative and innovative environment. Excellent leadership, communication, and interpersonal skills. Provide supervision and mentorship to junior data scientists, fostering a culture of growth and excellence. Assist the Lead in defining, prioritising and executing the data science strategy in alignment with the company's goals and mission. Collaborate with cross-functional teams to identify opportunities for data-driven insights across research, development, and commercialisation. Communicate evolving data science strategies and outcomes clearly to stakeholders, ensuring a shared understanding. Convey findings to organisational decision-makers, facilitating the integration of data insights into strategic planning. Establish and enforce standard practices around delivery processes with version and change control. Stay current with emerging trends, techniques, and technologies in data science to drive innovation within the company. Data Analysis and Modelling Employ diverse data sources to conceptualise and construct advanced models and algorithms, addressing intricate business challenges. Transform business issues into machine-learning problems, using domain knowledge to define suitable approaches. Demonstrate expertise in various machine learning algorithms, NLP, steering the team towards judicious algorithm selection and implementation. Prepare raw data for modelling by executing comprehensive pre-processing techniques. Train, validate, and assess machine learning models to ensure robust performance. Devise, manage, and deploy data science pipelines and applications, aligning them with the organisations long-term vision. Strategically communicate and disseminate data and insights by leveraging cutting-edge data visualisation techniques. This enhances the accessibility and impact of data-driven findings. Ensure the excellence of data science products delivered by the team through rigorous quality assurance practices. Employ diverse methods including SQL queries, web scraping, and API calls to aggregate data from multiple sources. Interpret data trends and patterns to drive informed decision-making. Education / Experience Ph.D. or masters degree in data science Proven track record of leading data science projects Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques. Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Fabric, Databricks or Snowflake. Familiarity with database management and database design, data layout for data lakes, and data engineering best practices. Familiarity with biological and clinical data types and their challenges Excellent leadership, communication, and interpersonal skills.

Job Description Enthusiastic and self-motivated with ability to execute Supply Chain Analytics projects proactively Meticulous attention to detail, with an overall passion for continuous improvement Innovative and creative with a logical and methodical approach to problem solving Credible and articulate with excellent communication, presentation, and interpersonal skills Responsibilities Efforts will focus on the following key areas: Domain – Supply Chain Analytics Various classical Statistical techniques such as Regression, Multivariate Analysis etc. Machine Learning, Data & Text Mining, Gen AI Time Series based forecasting modeling Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2) Experience using tools in BI, ETL, Reporting /Visualization/Dashboards Programming experience in languages like Python Exposure to Bigdata based analytical solutions Exposure to MLOPs is a plus Good communication skills Good Analysis and problem-solving skills. Ability to get Insights from Data, provide visualization, and storytelling. Flexibility to explore and work with newer technologies and tools. Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios. Excellent collaborative communication and Team skills Responsibilities Execute high impact business projects with time bound and effective project management leveraging tools like Rally, Jira Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions Use statistical methodologies leveraging analytical tools to support different business initiatives Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights through dashboards Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Execute analytics special studies and ad hoc analyses in a quick turn around time Evaluate new tools and technologies to improve analytical processes Qualifications Bachelors/Masters Candidates should have significant hands-on experience with analytics projects Candidates will be expected to successfully prioritize and manage multiple analytical projects Good technical depth with strong analytical/programing skills and ability to apply technical knowledge Experience in Python, SQL, BigQuery, DataForm GCP or any other cloud platforms highly desired Exposure to MLOPs is an added advantage

AI/ML & GenAI Development • Proven experience in building and deploying AI/ML and Generative AI applications • Hands of experience with RAG and Agentic AI based applications • Solid understanding of deep learning and Natural Language Processing (NLP) • Strong experience with Large Language Models (LLMs) and frameworks (e.g., Langchain, LlamaIndex) • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Expertise in building enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval --- Software Development & Cloud Platforms • Strong proficiency in Python programming language • Hands-on experience with cloud platforms such as Azure and Databricks (preferred) • Strong experience in building CI/CD pipeline templates for AI software development lifecycle (SDLC), including ML Ops, RAG pipelines, and data ingestion pipelines