Senior Data Scientist-I Would you enjoy designing innovative software solutions with latest technologies like Cloud, AI, Large Language Models? Do you enjoy working on complex, innovative, global projects? Do you enjoy working on global products and product managers, defining new innovative solution and implementing them? Can you convince and bring Sr. Management and Stakeholders, Product Managers onboard with your innovative ideas? About the Role:-As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will lead small teams of indirect reports and mentor teams in best practices and methodologies. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Roles & Responsibilities: -<ul><li>Leading the development of advanced AI and machine learning models to solve complex business problems.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analysing large datasets to identify patterns and trends that can inform AI development</li><li>Evaluating and creating new frameworks and defining methodologies and governance</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Working with product leaders to apply data science solutions.</li><li>Leading small- to medium-sized teams (direct or indirect).</li></ul> Skills & Requirements: -<ul><li>Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Possess extensive knowledge and skills in a senior data scientist position.</li><li>Have experience in leading projects and customer relationships.</li><li>Be able to effectively lead technical teams through direct supervision or indirect influence.</li><li>Be experienced in mentoring, training, and acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Experience with coding skills in Python or another programming language.</li></ul> Qualification & Experience:-Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)Possess a PhD or master’s degree in computer science, Mathematics, Statistics, or a related field Benefits: -· Group Health Insurance Policy (covering self and family)· Group Life insurance/accident policy· Generous long-service awards· New Baby gift About Us:-RELX is a global provider of information-based analytics and decision tools for professional and business customers.We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. The Group serves customers in more than 180 countries and has offices in about 40 countries. It employs over 33,000 people, of which around 1/4th are technologists.We want RELX to be a great place to work, where our employees feel valued, have equal opportunities and benefit from pay equality, regardless of their gender, gender identity, national origin, race, ethnicity, religion, sexual orientation, age or disability status. Inclusion and diversity are important to our future. We need the engagement of people from a wide range of backgrounds, experiences and ideas to achieve real innovation for our customers around the world. About LexisNexis:-We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and monitoring relevant news. We partner with leading global associations and customers to help advance the Rule of Law across the world. Every day at LexisNexis, you will work with highly creative minds to explore impossibilities, inspire innovation, and lead the way 21st century legal content is produced, disseminated & utilised You have the power to empower those in need and truly make a difference to the lives of people all around the world.Apply today, or to learn more about opportunities with LexisNexis or RELX Global, join us here: <a>LexisNexis Careers | Legal & Professional | Legal Tech Jobs</a> LexisNexis Careers | Legal & Professional # LI-MC1#LI-Hybrid

About Navi Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences. Navi, our mission is to build financial services that are simple, accessible and affordable. Founders: Sachin Bansal & Ankit Agarwal Know what makes you a “Navi_ite” : 1.Perseverance, Passion and Commitment • Passionate about Navi’s mission and vision • Demonstrates dedication, perseverance and high ownership • Goes above and beyond by taking on additional responsibilities 2.Obsession with high quality results • Consistently creates value for the customers and stakeholders through high quality outcomes • Ensuring excellence in all aspects of work • Efficiently manages time, prioritizes tasks, and achieves higher standards 3.Resilience and Adaptability• Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility Data Science @Navi: At Navi, our Data Science team is the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectors—be it lending, insurance, investments, or UPI. We're not just a team; we're the architects of the future of fintech. <ul><li>We're not just keeping up with innovation; we're setting the pace. Our team is constantly pushing the boundaries, introducing groundbreaking methods that amplify business growth, enhance customer experiences, and streamline operational processes.</li><li>Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs.</li><li>When you join us, you're not just taking a job; you're becoming a part of a movement. A movement that's making a tangible difference in the fintech landscape, one innovative solution at a time.</li></ul> Ready for a transformative career journey? Join us at Navi and be a part of a team that's shaping the future of fintech.What you gain by working with the Data Science team at Navi: Join the Navi Data Science team for:Own Your Journey from Start to Finish : Take pride in having full-cycle ownership of your projects. You won't just be a cog in the machine; you'll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward.<ul><li>Immerse Yourself in a Data Wonderland : Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter.</li><li>Be Part of a Synergistic Dream Team : Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth.</li><li>Make a Tangible Impact : Your work won't just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, you'll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large</li></ul> What we are looking for: <ol><li>Bachelor's or Master's in Engineering or equivalent.</li><li>2+ years of Data Science/Machine Learning experience.</li><li>Strong knowledge in statistics, tree-based techniques (e.g., Random Forests, XGBoost), machine learning (e.g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations.Bonus: Experience with deep learning techniques.</li><li>Strong Python programming skills and experience in building Data Pipelines in PySpark, along with feature engineering.</li><li>Proficiency in pandas, scikit-learn, Scala, SQL, and familiarity with TensorFlow/PyTorch.</li><li>Understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Databricks or Kubernetes).</li></ol>

Teleparty is hiring Airflow Data Scientists in IndiaJoin Teleparty, a premium remote entertainment service leading the charge in making social TV a global cultural phenomenon bigger than the movies. With over 25 million streamers who have installed our browser extensions and mobile applications, we operate the largest social TV service in the world for millions of streamers, all for free. We are committed to building a workforce that reflects our globally diverse audience & being a technology leader in the new social TV category. We're looking for great people who are creative thinkers, self-motivators and impact-makers with a passion to help us shape the future of TV. Job OverviewWe are seeking a skilled Data Scientist with expertise in Airflow and AWS to join our data engineering team. The ideal candidate will have experience designing and implementing data pipelines using Apache Airflow and AWS services, as well as a strong background in data science and analytics. This role involves working closely with data engineers, analysts, and business stakeholders to deliver high-quality data solutions that drive business insights and decision-making.Responsibilities<ul><li>Design, develop, and maintain data pipelines using Apache Airflow to automate data processing tasks.</li><li>Work with AWS services such as S3, Redshift, RDS, Lambda, and Glue to build and maintain scalable data solutions.</li><li>Develop and maintain ETL processes, data transformations, and data modeling.</li><li>Collaborate with data engineers, analysts, and other stakeholders to define data requirements and ensure data quality and availability.</li><li>Conduct exploratory data analysis to identify patterns and trends in data, and communicate findings to stakeholders.</li><li>Develop data-driven models and algorithms to support business objectives and decision-making.</li><li>Monitor data pipelines for performance and reliability, and troubleshoot issues as needed.</li><li>Stay up-to-date with industry best practices and emerging technologies in data science and cloud computing.</li><li>Contribute to the development of data governance and data management best practices.</li></ul>Qualifications<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Strong experience with Apache Airflow for orchestration and automation of data pipelines.</li><li>Proficiency in AWS services such as S3, Redshift, RDS, Lambda, and Glue.</li><li>Experience with Python programming and libraries such as Pandas, NumPy, and scikit-learn.</li><li>Familiarity with SQL and data manipulation languages.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li><li>Experience with data visualization tools such as Tableau, Power BI, or similar is a plus.</li><li>Knowledge of machine learning techniques and algorithms is a plus.</li></ul>

EdgeVerve, a fully owned subsidiary of Infosys Limited, is a global leader in AI, Automation, and Analytics. Our technology empowers enterprises globally to bring life to their digital transformation initiatives. We are not just building path-breaking products; we are building technology that will unlock hidden business value from your business processes, documents, and supply chain. Our digital platforms help clients capitalize on the inherent power of a connected enterprise. We do this by amplifying the human potential, crafting connected customer journeys and exploiting the power of value networks. Job Role- Senior Data scientist Location- Bangalore <ol><li>Drive AI first solution and bring out industry leading cutting-edge AI solutions </li><li>Provide an end-to-end AI based solution that excels in real client use-cases around Information Extraction</li><li>Collaborate with cross functional teams (Product and Solution teams) and ensure that the AI solution is comprehensive as required by the use case</li><li>Abreast with latest trends in AI technologies and provide technical leadership to execute large-scale, complex search solutions</li><li>Help attract and recruit technical talent in the domain of Information Extraction</li><li> Minimum 10+years of software development experience with 7+ years in creating AI solutions</li><li>High proficiency and experience in the following </li><li>1. Experience in ML, NLP/NLU, Computer Vision, Narrow LM (BERT), General LLM, Gen AI </li></ol> 1.Good hold over unsupervised learning, supervised learning, reinforcement learning and generative models2. Advanced knowledge of the Hugging Face (transformers, tokenizers, accelerate) and Langchain libraries3. Build, versioning and maintaining AI models along with performance optimizations to run at scale4. Create and maintain training data from large knowledge bases consisting of semantic relationships. 5. Experience with other NLP libraries like nltk, spacy, genism, etc6. Expertise in programming languages commonly used in AI development, such as Python and proficiency in libraries like NumPy and Pandas. Preferred <ol><li>PhD/master's degree in computer science, or Math or related field</li><li>We need technical depth and an appreciation of business imperatives, we want to use technology to solve real-world problems, not indulge in over-engineering</li><li>Experience with multilingual NLP</li><li>A willingness to dive deep, experiment rapidly and get things done.</li><li>Exceptional customer relationship skills including the ability to understand common technical requirements from multiple feature requests and lead engineering efforts to meet timelines with optimal solutions.</li><li>Experience with Agile/Lean (Kanban, SCRUM), http / REST services, Linux.</li><li>Proven experience mentoring and training the engineering community on complex technical issues.</li></ol>

What the Business DoesThis role is based in the Cross functional data team . Team is responsible for creating, testing,deploying and managing smart automation tools using different technologies including but not limited to Python, AI/ML, Data science You’re Responsibilities<ul><li> In Depth understanding of ML Algorithms(Regression, Decision Tree) , Statistics</li><li> Hands on Experience with setting up ML pipelines(end to end : includes working knowledge of model drift, data drift) and well versed with MLflow</li><li> Should be able to pretrain models given the data within Hugging Space</li><li> Should have worked on various data formats: textual data, Metric data</li><li> Understanding of Hadoop architecture is also a plus (not necessary to have )</li><li> Hands-on knowledge of developing EDA / AI ML models using python</li><li> Thorough knowledge on python libraries and proven track record of implementing insights</li><li>using machine learning algorithms.</li><li> Creating, testing and deploying data models to predict different insights</li><li> Working across the life cycle, from requirements analysis and design, through coding to</li><li>testing, deployment and operations</li><li> Deployment of AI ML frameworks in live environment in a private/secure setup</li></ul> Skills You Need● Coding experience in Python (5 years)● Experience of working with python libraries like sk learn, matplotlib, numpy, pandas andother related AI/ML libraries like nltk, spacy.● Experience of working on code repositories, bug tracking tools and wikis● Experience of SQL● Experience of DevOps and Agile methodology and associated toolsets andmethodologies● Experience of version control toolsets, such as GitLab, Bitbucket and Git● Experience of AWS, Azure and GCP● A background in solving highly complex, analytical and numerical problems● Experience of implementing programming best practice, especially around scalability,automation, virtualisation, optimisation, availability and performance

Roles & Responsibilities:<ul><li>Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the Advanced AI landscape and develop a DS and AI use case roadmap for a problem area or capability for the business.</li><li>Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products.</li><li>As a core member of the DS team, you will research, prototype, develop, deploy and scale innovative company wide data science (ML) , NLP, GenAI, Data & Analytics solutions aligned with business vision and goals.</li><li>Enhance data collection procedures and run data exploration to understand relationships and patterns within the data, develop data visualisation to represent the relationships identified from data exploration.</li><li>You will deploy a variety of Text Analytics and Image processing models on large-scale datasets to address various business problems leveraging advanced NLP, machine learning, or deep learning techniques.</li><li>Collaborate closely with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services by taking ownership of ML pipelines from end to end, encompassing data pre-processing, model generation, cross-validation, and feedback sharing.</li><li>Refine and deepen understanding of the algorithmic and inferential aspects of statistical analysis. Evaluate new deep learning algorithms from latest research and develop intuition about the problems for which they are likely to improve the state of the practice.</li><li>Integrate and configure observability tools such as ml-flow, langsmith, langfuse etc, for monitoring and improving application performance.</li></ul>Required skills & Qualifications:<ul><li>We’re looking for someone with 6 ~ 10 years of experience manipulating data sets and building deep learning models, with a Bachelor’s/Master’s/PhD degree in Statistics, Mathematics, Computer Science or another quantitative field, from any of the top-tier colleges.</li><li>Experience in mentoring junior team members, and guiding them on machine learning and advanced AI applications</li><li>Strong problem solving skills with an emphasis on product development Experience in managing the complete life cycle of data science projects from model development to production deployment</li><li>Excellent written and verbal communication skills for coordinating across teams.</li><li>Good applied statistics skills such as distributions, statistical testing, regression.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, artificial neural networks and their real-world advantages or drawbacks.</li><li>Familiar with commonly used NLP, machine learning, and deep learning libraries such as Tensorflow, MXNet, Caffe, PyTorch, Keras, SKLearn, Transformers, SparkNLP, Gensim, SpaCy, NLTK, Lang-chain and GPT (or similar models) and so-forth</li><li>Experience with NoSQL databases such as MongoDB, Cassandra, HBase is desired.</li><li>Experience with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark is a big plus.</li><li>Working knowledge of version control (git), and continuous integration/deployment (CI/CD). RESTful APIs and Dockers are a plus.</li><li>Working experience in services offered by cloud technologies (AWS preferable)</li></ul>

Data Scientist Jobs in Bangalore Urban, Karnataka

Senior Data Scientist
April 29, 2024

Data Scientist 2
April 28, 2024

Data Scientist
April 21, 2024

Senior Data Scientist
April 20, 2024

Senior Data Scientist
April 13, 2024

Staff Principal Data Scientist Rd
April 7, 2024

Quick filters

Top companies

Data Scientist Jobs in Bangalore Urban, Karnataka

Senior Data ScientistApril 29, 2024

Data Scientist 2April 28, 2024

Data ScientistApril 21, 2024

Senior Data ScientistApril 20, 2024

Senior Data ScientistApril 13, 2024

Staff Principal Data Scientist RdApril 7, 2024