1608 Data Scientist Jobs - Page 21

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com

Seeking a Principal Data Engineer with the following skills, an excellent opportunity for top-tier coding experts . Experience with building and maintaining a Lakehouse architecture . Advanced expertise in Python and SQL. Expert in leveraging cloud-based data platform ( Snowflake , Databricks ) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem Experience using spark for data ingestion/ processing Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques

Data Scientist with 5+ years of relevant experience in: Python, SQL, NLP, LLM, GenAI, H2O

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

We are looking for an enthusiastic and driven Data Science - AI / ML Intern to join our team. This is a great opportunity for individuals who are passionate about applying data, algorithms, and machine learning to solve real-world problems. You will work on AI/ML research and development projects and collaborate with experienced professionals to grow your skills. Key Responsibilities: Assist in developing and testing machine learning models using Python and popular ML libraries Support AI/ML research, experiments, and proof of concept projects Perform data collection, cleaning, analysis, and visualization Apply statistical techniques and ML algorithms to solve business or research problems Document processes, models, and experiment results Work collaboratively with data scientists, engineers, and product teams Basic Requirements: Proficiency in Python and common ML libraries (eg, scikit-learn, pandas, NumPy) Basic understanding of statistics , machine learning algorithms , and data modeling Exposure to AI/ML projects (academic, personal, or internships) Familiarity with tools like TensorFlow , scikit-learn , or Azure ML Curiosity to explore new methods and use data to solve problems Strong communication and presentation skills Preferred Skills: Experience with Jupyter Notebooks , Google Colab , or cloud-based ML platforms Familiarity with deep learning frameworks (TensorFlow, Keras, PyTorch) Exposure to Azure Machine Learning , MLflow , or MLOps practices Understanding of data pipelines and basic SQL Why Join Us Opportunity to work on innovative AI/ML projects Learn from experienced data scientists and engineers Collaborative and growth-focused environment Potential for full-time employment based on performance

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue Positive Cash Flow, 171% YoY cash flow growth You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana

We are seeking a skilled Data Scientist with strong Python, machine learning, and data visualization expertise. You’ll work on predictive modeling, performance optimization, and integrate marine engineering concepts into scalable digital solutions.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Jubilant Biosys is looking for Data Scientist- JVL to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a highly analytical and detail-oriented Data Scientist to join our Data Quality Management team. This role will focus on ensuring the accuracy, completeness, and reliability of data ingested from SAP systems and logistics carriers. You will play a critical role in enhancing the integrity of our transportation visibility platform by identifying data issues, implementing quality controls, and collaborating with cross-functional teams to resolve data discrepancies. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Design and implement data quality frameworks and monitoring systems for SAP and carrier data pipelines. Analyze large datasets to detect anomalies, inconsistencies, and gaps in data quality. Experience working on TransVoyant. Develop automated data validation and cleansing routines using Python, SQL, and other tools . Create dashboards and reports to communicate data quality metrics and trends. Collaborate with functional experts, business analysts, and domain experts to understand data flows and business rules. Work closely with Logistics operations, business units, SAP data entry functions, and carrier integration partners to resolve data issues at the source.Contribute to the development of data governance policies and best practices. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or master s degree in data science, Computer Science, Information Systems, or a related field.5+ years of experience in data science, data engineering, or data quality roles. Strong experience working with SAP data structures (e.g., SD, MM, WM modules) and carrier logistics data (e.g., EDI, shipment tracking). Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau).Experience with real-time data processing and streaming technologies.Knowledge and experience with SQL and cloud database systems such as AWS or CGP Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Able to identify trends, patterns, and outliers in logistics data and form insights and recommendations.Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously Excellent attention to detail, problem-solving, organizational and prioritization skills.Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus

We are looking for a Network Security Engineer with hands-on experience in managing and securing enterprise networks. Must be proficient in network infrastructure (LAN/WAN), Cisco switches, Zscaler (ZIA & ZPA), SDWAN, and VPN. Required Candidate profile Network monitoring, security, and troubleshooting Implement and operate Zscaler solutions Network asset documentation and compliance Ensure seamless connectivity and performance reporting

Job Title: Data Scientist Location : Gurgaon Department : Data & Analytics Experience :5+ Employment Type : Full-time About Cars24 Cars24 is revolutionizing the way used cars are bought and sold in India and abroad. Our platform leverages data and technology to provide a seamless car ownership experience. We are driven by insights and fuelled by curiosity, and we aim to transform every part of the auto ecosystemfrom buying to financing to servicing. Role Overview As a Data Scientist at Cars24, you will be part of the core data team responsible for building scalable, data-driven solutions that impact millions of customers. You will work closely with product, engineering, and business teams to solve complex problems using machine learning, statistical analysis, and modeling techniques. Key Responsibilities Collaborate with cross-functional teams to understand business problems and translate them into data science solutions. Build and deploy predictive models using techniques such as regression, classification, clustering, recommendation systems, etc. Analyze large-scale structured and unstructured data to generate insights and guide business decisions. Design and implement A/B tests and causal inference models to measure the impact of changes. Monitor and improve the performance of deployed models continuously. Present analytical findings to senior leadership in a clear, concise manner. Requirements Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of hands-on experience in a data science or analytics role. Strong programming skills in Python or R; familiarity with data manipulation libraries (e.g., pandas, NumPy). Experience with SQL and working knowledge of databases. Proven experience in machine learning frameworks (scikit-learn, XGBoost, TensorFlow, etc.). Familiarity with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Experience with cloud platforms (AWS/GCP) is a plus. Nice-to-Have Experience in the automotive or e-commerce domain. Exposure to real-time data processing or large-scale data pipelines. Knowledge of MLOps tools and best practices. What We Offer A fast-paced, data-first environment. Opportunity to work on high-impact projects that affect millions of customers. Competitive salary with performance-based incentives. Learning budgets, flexible work options, and a collaborative culture. Role & responsibilities Preferred candidate profile

Main Responsibilities are: Understand, Define and Articulate the art of possible of AI/ML/MLOps solutions to Business heads. Hands-on in Designing, Development and Production roll-out of AI / ML/ MLOps solutions using data science framework and methodologies (CRISP-DM and TDSP) for complex problems. Must have thorough understanding and hands-on experience of using Statistical Modeling, Classical ML, Bigdata Analytics, Deep Neural Networks, Edge AI, MLOps, Generative AI •. Should have good understanding of functional domain with data, data pipelines, data storage, data lineage and quality data management. Data Analysis and Insights Generation - Perform exploratory data analysis (EDA) on large datasets from manufacturing processes, supply chain, and other verticals to uncover trends, anomalies, and actionable insights. Identify key performance indicators (KPIs) and metrics to monitor operational efficiency, sustainability goals, and process improvements. Write efficient, reusable, and well-documented code in Python for data processing, analysis, and automation of workflows. Leverage the AWS ecosystem (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and integration. Utilize statistical and machine learning techniques to solve business problems. Collaborate with data scientists, engineers, and plant managers to translate business needs into technical solutions. Coordinate with vendors to integrate third-party tools or datasets as required. Work on strategic innovative data science projects (Generative AI/ Video Analytics/ Prescriptive Analytics/ Diagnostic Analytics/ Bigdata Analytics/ Time series Analytics etc.) with transformative vision. Work with Business Head and CFT to understand their requirements, help them understand the Art of possible, and develop innovative AI solutions. Also provide mentorship and guidance to junior Data analysts and Data Science Interns in architecting solutions and developing them.

Data Scientist (1–2 yrs exp) We’re looking for a Data Scientist with strong skills in Python, ML (scikit-learn/TensorFlow/Keras), Azure AI/ML, and data analysis.

Job Title: Data Scientist – Data and Artificial Intelligence Location: Hyderabad Job Type: Full-time Company Description Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, and Cyber Security. We help businesses unlock the full potential of these technologies to achieve their goals and gain a competitive edge. Our unique approach focuses on delivering value through bespoke solutions tailored to customer specific needs. We are driven by a customer-centric mindset and committed to delivering continuous value through intellectual property accelerators and automation. Our team of experts is passionate about technology and dedicated to making a positive impact. We foster an environment of growth and innovation, constantly pushing the boundaries to deliver exceptional results. Website: www.qylis.com, LinkedIn: www.linkedin.com/company/qylis Job Summary We are an engineering organization collaborating directly with clients to address challenges using the latest technologies. Our focus is on joint code development with clients' engineers for cloud-based solutions, accelerating organizational progress. Working with product teams, partners, and open-source communities, we contribute to open source, striving for platform improvement. This role involves creating impactful solution patterns and open-source assets. As a team member, you'll collaborate with engineers from both teams, applying your skills and creativity to solve complex challenges and contribute to open source, while fostering professional growth. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigour by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Qualifications M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 7+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience working on Computer Vision Project is an Add on Knowledge on AWS and Azure Cloud. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Skills:- Python, FastAPI, Large Language Models (LLM) tuning and MySQL Show more Show less

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment.

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors / Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Job Title: Senior Data Scientist Location: Hyderabad, India Experience Level: 3+ years Job Summary We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development. Required Skills & Qualifications  Programming: Proficiency in Python.  Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.  NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.  Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.  Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.  Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.  Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.  Django: Experience in building and maintaining backend services and APIs.  Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.  REST API Development: Experience in developing and integrating APIs for AI powered applications.  Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Skills:- Natural Language Processing (NLP), Deep Learning, Large Language Models (LLM) tuning and Computer Vision Show more Show less

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products . You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist, you will focus on consolidating and analysing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in machine learning, especially in the Natural Language Processing. Responsibilities: Design, develop, and deploy Machine Learning models. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact. Create insightful data visualisations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc. Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs. Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc. Strong programming skills in Python and/or Java. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Strong communication, problem-solving, and analytical skills; a collaborative team player. Nice to Have: Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation. Show more Show less

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu