3397 Data Scientist Jobs - Page 23

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Responsibilities: * Deliver engaging training sessions * Ensure knowledge transfer through interactive activities * Collaborate with stakeholders on course design & delivery * Conduct software, technical & soft skills trainings

;:" Your responsibilities The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes. Key Responsibilities: Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives. Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes. Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM\u0027s, LVM\u0027s, TTS etc. Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions. Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration. Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems. Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems. Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks. Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact. Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Company - We re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you ve come to the right place. About the role We re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities * As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. * Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. * Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. * Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. * Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. * Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills * 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. * 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. * 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. * Expert-level knowledge of SQL with strong data exploration and manipulation skills. * Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. * Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. * Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. * Creative problem-solver who simplifies problems to their core elements. * B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5+ years or 8+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering. Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

ABOUT TIDE At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. ABOUT THE ROLE As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist you ll be: Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked WHAT ARE WE LOOKING FOR You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You ve delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You re organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You re a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don t have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform WHAT YOU WILL GET IN RETURN Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members diverse needs. We are One Team, committed to transparency and ensuring everyone s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tides Recruitment Privacy Notice .

Job Description: Who We Are: Saks Global is a combination of world-class luxury retailers, including Neiman Marcus, Bergdorf Goodman, Saks Fifth Avenue and Saks OFF 5TH, as well as a portfolio of prime U.S. real estate holdings and investments. Saks Global is deeply committed to helping luxury consumers discover the most sought-after established and emerging brands from around the world. Powered by data-driven technology and centered on the customer, Saks Global is on a mission to redefine the luxury shopping experience through highly personalized service, with greater opportunities for product discovery across all channels. Role Summary: Central to Saks customer-centric marketing strategy is our Customer DNA. The successful candidate will be a highly independent and business-savvy Senior Data Scientist to lead the development and execution of advanced analytics that drive measurable business impact. The ideal candidate will demonstrate strong ownership of projects, from framing business problems to delivering actionable recommendations. They will support Saks strategies through the delivery of best-of-breed campaign management, measurement of all-channel and cross banner marketing promotions, the extraction of key analytical insights and by providing customer centric recommendations spanning both store and e-commerce channels. The ability to think strategically about customer and business challenges and proactively propose solutions will be critical to their success. Forward thinking is the key to this role as new technologies and opportunities present themselves. Key Qualifications: 5+ years of demonstrated ability in a similar data scientist role Bachelor s degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field; Master s Degree preferred Comprehensive experience with ML and AI modeling, especially in product recommendation algorithms and NLP. Proven track record of teaming up with data engineers for large-scale ML tool production Proficient programming skills in relevant languages/tools (Python, SQL, Spark, Git & Github, AWS EMR, Airflow, AWS SageMaker, Dataiku, or similar platforms) Ability to apply the ML/AI modeling approaches/classes of algorithms to business problems e.g., regressions, Random Forest, GBM, Neural Networks, boosted trees, LDA, collaborative filtering, etc. Strong business acumen and knowledge of retail business and digital marketing Excellent communication skills and value in building solid relationships cross-functionally to capture business needs and translate them into actionable project plans to influence real-world marketing applications or decisions Role Description: Lead the strategic development of data-driven solutions within areas such as business forecasting, product analytics, and targeted marketing. This includes designing and implementing data pipelines, developing analytical frameworks, and creating models that directly influence business decisions Manage end-to-end data science projects, from defining objectives and scope, to delivering actionable insights and recommendations. Ensure clear communication of project status, findings, and implications to business stakeholders Contribute to Product DNA data project to support merchandising and buying decisions Conduct ad-hoc analyses using customer, merchandising, operational, and macroeconomic data to support various Saks initiatives and deliver actionable insights to different functional teams Develop and automate analytical processes for generating customer profiles, creating targeted campaign lists, and performing post-campaign evaluations. Ensure that insights are actionable and directly applicable to marketing and CRM strategies Team up with Data Architects, Data Engineers, MLops Engineers, and other company players to conceive and execute data pipelines crucial for our personalization objectives Stay informed on the latest industry trends and advancements in data science, machine learning, and AI, incorporating new techniques and technologies as appropriate Drive research and methodology development for machine learning use cases in product recommendation, customer journey optimization, and conversion enhancement. Gather business requirements for critical blind spots in business processes such as access to customer information, and design an application that is marketer-friendly but solves data gaps and consumes data science models for end-user applications Your Life and Career at Saks: Exposure to rewarding career advancement opportunities A culture that promotes a healthy, fulfilling work/life balance Benefits package for all eligible full-time employees (including medical, vision and dental). Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Saks complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.

Role Overview We are looking for a Data Scientist to develop and implement advanced analytics solutions. The role involves working with complex datasets and developing machine learning models. Key Responsibilities Develop and implement machine learning models Analyze complex datasets and extract insights Create predictive analytics solutions Collaborate with cross-functional teams Present findings to stakeholders Drive data-driven decision making Requirements Education Masters/PhD in Data Science, Statistics, or related field Experience 5+ years of experience in data science Strong background in machine learning Experience with big data technologies Technical Skills Expertise in Python, R, and SQL Experience with ML frameworks Knowledge of big data tools Understanding of statistical methods Soft Skills Strong analytical and problem-solving skills Excellent communication abilities Research and innovation mindset

1- Business expansion strategy leveraging enriched data of locations to identify profitable locations 2- Optimize health claims through optimizing on claims process leveraging data and analytics 3- NPS improvement using customer loyalty program as well as claims settlement data and analytics 4- Identification of fraud/nexus using claims optimization and fraud prevention strategy

Job Title PMS Data Scientist Associate Job Description Minimum required Education: Bachelors Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. Minimum required Experience: Minimum 1-2 years of experience in Data Analytics, Data Modeling or equivalent with Vocational Education OR no prior experience with Bachelors Degree. Minimum required Certification: N/A Job title: PMS Data Scientist Associate Your role: nalyzes complex datasets from various sources to identify patterns, trends, and actionable insights, ensuring data-driven decision-making aligns with business objectives and compliance standards, working under general supervision. Creates detailed and visually appealing reports and dashboards using tools such as Tableau or Power BI to effectively communicate data insights and trends to stakeholders, enhancing their understanding of business performance. Develops and maintains robust databases and data pipelines, ensuring data accuracy, integrity, and accessibility, while implementing best practices for data governance and security within a limited level of autonomy. Works closely with cross-functional teams, including marketing, finance, and product development, to understand their data needs and provide analytical support that drives strategic initiatives and operational efficiency. Ensures compliance with data privacy regulations (such as GDPR or HIPAA) and company policies when processing sensitive or Protected Health Information (PHI), safeguarding data integrity and confidentiality. Conducts thorough data validation and verification processes, employing statistical methods and quality assurance techniques to guarantee the accuracy and reliability of reported data. Prepares comprehensive documentation of data analysis methodologies, processes, and findings, facilitating transparency, reproducibility, and knowledge sharing within the team and organization. Monitors key performance indicators (KPIs) and metrics, providing regular updates and actionable insights to management, supporting continuous improvement and strategic planning efforts. Supports data request and query resolution for internal and external audits, ensuring timely and accurate responses that meet compliance and regulatory standards. Implements process improvements in data collection, processing, and analysis, leveraging automation and advanced analytics techniques to enhance efficiency and effectiveness. Youre the right fit if: (4 x bullets max) 1. Experience.- 1-2 years of experience in Python/R/SQL coding 2. Skills. Data Analysis & Interpretation Data Harmonization & Processing Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Research & Analysis Structured Query Language (SQL) Regulatory Compliance 3. Education: Bachelors Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. 4. Anything else- Good in coding and communication skills. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company s facilities. Field roles are most effectively done outside of the company s main facilities, generally at the customers or suppliers locations. Indicate if this role is an office/field/onsite role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

Key Responsibilities Design and build LLM guardrails for prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification. Build and maintain evaluation frameworks to monitor LLM safety, fairness, and compliance. Develop automated pipelines to process, tag, and evaluate LLM outputs using Python and SQL. Leverage vector databases and embeddings to detect unsafe content or model drift. Create internal dashboards and visualizations (Streamlit, Dash, or lightweight React/JS) for POCs and internal tools. Collaborate with ML engineers and product teams to integrate LLM safety components into production APIs or applications. Stay current with AI safety research, emerging tools (Ragas, LangChain, Guardrails.ai), and regulatory standards (EU AI Act, NIST AI RMF). Required Qualifications 3 - 4.5 years of experience in data science, applied ML, or LLM-based applications. Strong programming skills in Python and experience writing SQL for data exploration or feature engineering. Solid understanding of NLP, deep learning (CNN/RNN/Transformers), and LLM architectures. Hands-on experience with Hugging Face, LangChain, LLM APIs (OpenAI, Anthropic), and vector stores (FAISS, Pinecone, Chroma). Familiarity with front-end basics (Streamlit, Dash, or simple HTML/CSS/JS) is a plus , not mandatory. Experience with model evaluation, red‑teaming, or safety interventions in NLP/LLM systems. (Preferred) Familiarity with deploying ML pipelines in production (Docker, FastAPI) and ability to thrive in a fast‑paced startup environment.

Company Description Shriram General Insurance Company Limited is a Joint Venture between Shriram Capital Limited (part of Shriram Group) and Sanlam Limited. Shriram Capital Limited holds 74% of the equity in the venture, while Sanlam Limited holds the remaining 26%. The company aims to provide innovative and customer-focused insurance solutions, leveraging the strength and experience of its parent companies. Role Description This is a full-time remote role for a Data Scientist. The Data Scientist will be responsible for analyzing complex data sets, developing predictive models, performing data analytics, and creating data visualizations. They will apply statistical methods to solve real-world problems and provide actionable insights to drive business decisions. The role involves collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions. Qualifications Strong skills in Data Science, Data Analytics, and Data Analysis Proficiency in Statistics and Data Visualization Excellent problem-solving and analytical skills Experience with programming languages such as Python or R Ability to work independently and remotely Experience in the insurance industry is a plus Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field

Job Description Job Description Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Sr. Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. Responsibilities Lead detailed analysis. Simultaneously balance multiple projects. Represent Data Science in interactions with other functions. Support end to end implementation of solutions. Ability to evaluate current methodologies quickly. Document and present findings and recommendations. Detect, troubleshoot, and resolve system anomalies. Provide explanation to teams in a format that meets their level of understanding. Continually develop skill set. Experience Bachelor’s or Master’s Degree with a quantitative discipline. Skills 3-5 Years of professional experience in a quantitative field. Curiosity to learn and continually upgrade skills. Disposition to understand processes and methodologies. Quantitative aptitude with proven data analysis and problem solving skills. Proficiency with Python or R, and SQL. Experience with working on large amounts of data. Strong verbal, presentation, and written skills. Strong planning and organizational skills. Ability to work independently as well as in a team environment. About NielsenIQ NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com. NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Were looking for a Generative AI Developer who can build and integrate AI solutions using cutting-edge models. The ideal candidate will work on NLP, image generation, and conversational AI applications using tools like GPT, LangChain, and Hugging Face. Location : Mumbai - Sion Responsibilities: • Build and integrate applications using large language models and other generative AI frameworks. • Customize and fine-tune models using business-specific datasets. • Implement AI-powered solutions using APIs, pipelines, or SDKs. • Collaborate with cross-functional teams on feature development and AI use cases. Key Skills: • Strong Python programming experience. • Practical experience with ML libraries (e.g., Hugging Face, PyTorch). • Good understanding of prompt engineering, fine-tuning, and vector databases. • Familiarity with deploying ML models on cloud platforms. Good to Have: • Experience with OpenAI API, LangChain, or similar tools. • Exposure to chatbot or content-generation projects. If interested , kindly share your resume at poonam@r2rconsults.com

About Arctan At Arctan, we’re solving a hard problem that matters: Eliminating communication barriers in Global conversations. Our AI product refines speech on the fly, adjusting accents and tonality, helping Customer Facing teams engage better with their customers and build rapport effortlessly across cultures. Role Overview As a Data Scientist, you will play a key role in improving and optimising the models that drive Arctan’s real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter. Specifically, you’ll: Develop and fine-tune Speech to Speech machine learning models Experiment with data-driven solutions to enhance AI performance. Work on feature engineering and dataset preparation to train robust models. Collaborate with the team to evaluate and deploy models into production. What we’re looking for: Strong problem-solving skills, paired with a passion for learning. 1-3 years of experience in Data Science and related fields. Experience with speech processing or NLP. Proficiency in Python and familiarity with data science libraries. Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with working on datasets and data preprocessing techniques. Benefits And Perks: You’ll be joining an early stage startup building foundational Speech models Being a part of a small, high talent density team would accelerate your career growth You'll wear multiple hats, own meaningful projects, and build things that ship.

A minimum of 6 years of experience in data science role, including hands-on experience with machine learning and statistical analysis. Proficiency in Python, Core ML, SQL, R and data manipulation, visualization.

As a Data Scientist at our company, you will play a crucial role in analyzing large volumes of data, developing predictive models, and providing actionable insights to drive business decisions and enhance our learning systems. Your responsibilities will include collecting, cleaning, and preprocessing data from various sources, as well as building and assessing predictive models and machine learning algorithms. You will analyze data trends and patterns to offer valuable business insights and collaborate with teams across different functions such as product, marketing, and tech. Designing experiments, interpreting results using statistical techniques, and presenting findings through visualizations and reports will also be part of your role. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages like Python or R, strong SQL skills for working with large datasets, and familiarity with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch are essential. Additionally, knowledge of data visualization tools like Power BI, Tableau, matplotlib, and seaborn, along with excellent problem-solving, analytical, and communication skills will be beneficial. Staying updated with the latest advancements in data science and AI is crucial for this role. If you are a proactive individual with a passion for data analysis and a desire to contribute to meaningful business decisions, we encourage you to apply for this full-time Data Scientist position.,

We are seeking a Data Scientist with over 3 years of experience in Machine Learning, Deep Learning, and Large Language Models (LLMs) to join our team at SparkBrains Private Limited in Chandigarh. As a Data Scientist, you will be responsible for leveraging your analytical skills and expertise in data modeling to develop and deploy AI-driven solutions that provide value to our business and clients. Your key responsibilities will include gathering, cleaning, and preparing data for model training, designing and optimizing machine learning and deep learning models, integrating Large Language Models (LLMs) for NLP tasks, identifying relevant features for model accuracy, conducting rigorous model evaluation and optimization, creating data visualizations and insights for stakeholder communication, developing and deploying APIs, and collaborating with cross-functional teams while documenting processes effectively. To qualify for this role, you must hold a Bachelors or Masters degree in Computer Science, Data Science, AI, Machine Learning, or a related field, along with a minimum of 3 years of experience as a Data Scientist or AI Engineer. You should also possess proficiency in Python and relevant ML/AI libraries, hands-on experience with LLMs, a strong understanding of NLP, neural networks, and deep learning architectures, knowledge of data wrangling and visualization techniques, experience with APIs and cloud platforms, analytical and problem-solving skills, as well as excellent communication skills for effective collaboration. By joining our team, you will have the opportunity to work on cutting-edge AI/ML projects, be part of a collaborative work environment that emphasizes continuous learning, gain exposure to diverse industries and domains, and benefit from competitive salary and growth opportunities. This is a full-time, permanent position with a day shift schedule from Monday to Friday, requiring in-person work at our Chandigarh office.,

About the Role We're looking for a data-driven problem solver who can wear two hats the precision of a Data Analyst and the innovation of a Data Scientist . In this role, you'll work with large datasets, build insightful dashboards, perform in-depth analyses, and also design predictive models that drive strategic decision-making across the company. This is a great opportunity for someone who thrives at the intersection of business, analytics, and machine learning. APPLY HERE: https://p.hck.re/XrHF Key Responsibilities Analyze business trends, identify patterns, and translate data into actionable insights. Build and maintain dashboards and reports using tools like Power BI , Tableau , or Looker . Write complex SQL queries to extract and manipulate data from structured databases. Apply statistical models and machine learning algorithms to solve business problems. Use Python or R for data cleaning, EDA, visualization, and modeling. Collaborate with product, marketing, finance, and engineering teams to define and track key metrics. Design and run A/B tests and other experiments to optimize performance. Communicate findings clearly to both technical and non-technical stakeholders. Must-Have Skills Strong experience in SQL , with the ability to query and join large datasets. Proficiency in Python or R for data analysis and modeling. Hands-on experience with data visualization tools (Power BI, Tableau, or Looker). Solid understanding of statistics and applied machine learning techniques . Strong communication and storytelling skills with data.

Role & responsibilities Key Responsibilities Design, build and maintain Python plugins that encapsulate business rules and transformation logic such as custom aggregation/disaggregation, rule-based data enrichment, and time-grain manipulations. Implement data-cleaning, validation, mapping and merging routines using Pandas, NumPy and other Python libraries to prepare inputs for downstream analytics. Define clear interfaces and configuration schemes for plugins (for example, picklists for output grains and rule codes) and package them for easy consumption by implementation teams. Profile and optimize Python code pathsleveraging vectorized operations, efficient merges and in-memory transformationsto handle large datasets with low latency. Establish and enforce coding standards, write comprehensive unit and integration tests with pytest (or similar), and ensure high coverage for all new components. Triage and resolve issues in legacy scripts, refactor complex routines for readability and extensibility, and manage versioning across releases. Collaborate with data engineers and analysts to capture requirements, document plugin behaviors, configuration parameters, and usage examples in code repositories or internal wikis. Requirements Must-Have Skills 57 years of hands-on experience writing well-structured Python code, with deep familiarity in both object-oriented and functional programming paradigms. Expert mastery of Pandas and NumPy for transformations (group-by aggregations, merges, column operations), plus strong comfort with Python’s datetime and copy modules. Proven experience designing modular Python packages, exposing configuration through parameters or picklists, and managing versioned releases. Ability to translate complex, rule-driven requirements (such as disaggregation rules, external-table merges, and priority ranking) into clean Python functions and classes. Proficiency with pytest (or equivalent), mocking, and integrating with CI pipelines (e.g., GitHub Actions, Jenkins) for automated testing. Skilled use of Python’s logging module to instrument scripts, manage log levels, and capture diagnostic information. Strong Git workflow experience, including branching strategies, pull requests, code reviews, and merge management.

Company Description Tallento.ai (formerly FPSJOBS) is a one-stop solution for professionals seeking jobs in schools, colleges, universities, and coaching centers. As a prominent platform in the education sector, Tallento.ai ensures salary security and job satisfaction for its users. With an easy-to-use interface, job seekers can find employment opportunities in reputable institutions with just a few clicks. The company is dedicated to supporting those who shape India's future. Role Description This is a full-time role for a Data Scientist. The Data Scientist will be responsible for gathering, analyzing, and interpreting large datasets to derive actionable insights. Daily tasks include performing statistical analyses, developing data visualizations, and creating predictive models. The role also involves collaborating with other team members to implement data-driven solutions and support decision-making processes. Qualifications Skills in Data Science, Data Analysis, and Data Analytics Proficiency in Statistics and performing statistical analyses Experience in Data Visualization techniques and tools Strong problem-solving and analytical thinking abilities Excellent written and verbal communication skills Ability to work independently and remotely Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field Experience in the education sector is a plus

Role - Data Scientist Experience - 8 to 12 years Work Location - Remote Must Have 8 to 12 years of experience in Analytics 7 years of experience in Machine Learning or Data Sciences Mandatory Requirements Strong understanding of data analytics tools and technologies, hands-on experience (at least 6 Years) in applying appropriate analytics techniques to build statistical models, including handling of all pre- and post-modeling deliverables. Very strong hands-on working knowledge of Python and SQL. Good hands-on knowledge of any of the visualization tools amongst Power BI/Tableau. Should have worked across both structured and unstructured data (text), leveraging classification, regression, unsupervised learning, NLP, and other techniques. Performed assignments that involved providing analyses and insights directly to client stakeholders, proposed ideas for building strong internal/external analytics processes; performed analytics opportunity identification, roadmap development, technology, and requirements analysis. Exposure to at least two of these sectors: Healthcare, Banking, Financial Services, Insurance, and E-Commerce. Applicants can connect with Abhishek for more details Email - abhishek.m@livecjobs.com WhatsApp - 9154908075

Name of the position: Data Scientist Location: Coimbatore No. of resources needed : 01 Mode: Fulltime Years of experience: 4+ Years Overview We are seeking a highly skilled and motivated Data Scientist to join our growing AI and Data team. In this role, you will design, develop, and deploy advanced AI and machine learning models using modern frameworks and cloud platforms. You will work closely with cross-functional teams to integrate AI-driven solutions into core business processes and stay abreast of the latest trends in generative AI, LLMs, and Agentic AI. Key Responsibilities Design, develop, and deploy AI/ML models using technologies such as GenAI, FAST API, and AWS/GCP services (e.g., Lambda, SageMaker, Microsoft AI Studio). Implement model versioning, monitoring, and performance tracking to maintain data accuracy and reliability. Collaborate with engineers, data scientists, and domain experts to integrate AI solutions into business operations. Build and maintain high-quality, secure, and scalable data pipelines. Continuously review and apply the latest advancements in Agentic AI, LLMs, and AI research to improve model capabilities. Optimize machine learning workflows for cloud environments (AWS, GCP, or Azure). Contribute to AI architecture planning and best practices. Required Skills : Minimum 4+ years of experience in data science and AI/ML. Strong programming skills in Python. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Proficiency in machine learning algorithms, model training, and deployment. Experience with model versioning and monitoring tools (e.g., MLflow, Weights & Biases). Strong problem-solving and analytical capabilities. Experience with REST APIs and ML model integration. Domain experience in medicine or insurance. Familiarity with Large Language Models (LLMs) and Agentic AI systems. Exposure to backend technologies and microservice development. Advanced degree (Master s preferred) in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or related field.

SatSure is hiring a Data Scientist to build and deploy end-to-end ML/DL solutions for high-impact use cases across agriculture, infrastructure, and climate. Youll work on real-world data problems using Python, SQL, and deep learning frameworks like PyTorch or TensorFlow. About Us: SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action, creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. Roles & Responsibilities: Build and deploy ML/DL models (regression, classification, time-series, CNNs, transformers) to address high-impact business and operational problems. Drive the full data science lifecycle from problem scoping and data preparation to modeling, validation (A/B tests, back-tests), and production deployment. Develop modular, interpretable pipelines using Python, SQL, and ML libraries (PyTorch, TensorFlow, scikit-learn), with a focus on scalability and reliability. Work with speed and agility to build quick POCs/MVPs in ambiguous or low-data environments, balancing rigor with iteration. Translate business needs into intelligent systems, embedding models into decision workflows, and communicating results to influence cross-functional decisions. Qualifications: 3 - 5 years of hands-on experience building and deploying ML and DL models (classification, regression, time-series, clustering, CNNs, transformers, etc.) in real-world settings. Must-Have Skills: Built end-to-end ML/DL workflows from data ingestion and preprocessing to training, evaluation, and deployment. Proficient in Python (pandas, numpy, xarray, scikit-learn, PyTorch/TensorFlow) and SQL for scalable ML pipelines. Strong foundation in ML theory, deep learning (CNNs, transformers), and statistical modeling (A/B testing, causal inference). Experienced in handling diverse data types with robust preprocessing, feature engineering, and transformation pipelines. Skilled in aligning ML solutions with business goals, building fast POCs, and communicating results for cross-functional impact. Good to Have: Familiar with PostgreSQL, geospatial libraries (geopandas, rasterio), and data visualization tools (Tableau, Power BI, matplotlib, seaborn). Understanding of MLOps, deployment practices, and software development workflows, including version control and agile delivery. Exposure to emerging Agentic AI concepts such as tool-using agents, RAG pipelines, and feedback loops. Benefits: Medical Health Cover for you and your family, including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round