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Senior Data Scientist As a Senior Data Scientist at Gojek, you will be at the forefront of leveraging data to drive strategic and operational improvements. You will lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our service offerings and operational efficiency. What You Will Do<ul><li>Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis.</li><li>Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.</li><li>Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team.</li><li>Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics.</li><li>Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization.</li><li>Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making.</li><li>Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company’s competitive edge.</li></ul> What You Will Need<ul><li>Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.</li><li>5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.</li><li>Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).</li><li>Understanding of statistical concepts and techniques, with experience applying them to real-world problems.</li><li>Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.</li><li>A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.</li></ul>

Gojek

Data Scientist

Report Developer What You’ll Do:<ul><li>Develop and maintain reports using Power BI / SSRS</li><li>Design semantic models and write DAX queries</li><li>Create paginated reports and dashboards for analytics</li><li>Work with Report Builder (RDL files) to deliver high-quality insights</li><li>Collaborate with cross-functional teams to understand business requirements</li></ul> Required Skills:<ul><li>Strong experience in Power BI, SSRS report development</li><li>Hands-on with Semantic Models, DAX, and RDL files</li><li>Experience with Power BI paginated reports and analytics dashboards</li></ul> Good to Have:<ul><li>Exposure to Logi, Telerik, or other reporting technologies</li></ul> <ul><li>Experience - 4 – 6 Years</li></ul> Share your updated resume now.

Accion labs india pvt ltd

Test Analyst

Data Engineer We are looking for immediate joiners who are open to working in a hybrid modelExperience - 6-8 years with MS Fabric experience Share your updated resume now.

Data Engineer

Data Scientist Description<ul><li>Practical knowledge and working experience on Statistics and Operation Research methods.</li><li>Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.</li><li>Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.</li><li>Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.</li><li>Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.</li><li>Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS</li></ul> Experience: 5+ Years

Colan Infotech Pvt Ltd

Data & Analytics AVP We are seeking individuals proficient in SQL, SAP HANA Cloud, and API integration, with a strong foundation in data engineering and the development of scalable AI-driven applications.An added advantage would be familiarity with Agile methodologies.Experience: 7–15 years Share your resume now.

Live Connections

System Analyst

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer Role Overview<ul><li>Design, build, and maintain reliable data pipelines for structured and unstructured data.</li><li>Develop and optimize ETL processes for data ingestion and transformation.</li><li>Collaborate with cross-functional teams to deliver high-quality, timely data solutions.</li><li>Ensure performance, scalability, and compliance with data governance and security standards.</li><li>Troubleshoot and resolve data quality or performance issues proactively.</li></ul> Mandatory SkillsWe are specifically looking for candidates with hands-on experience in:<ul><li>Python</li><li>PySpark</li><li>AWS EMR</li></ul> Additional Skills (Good to Have)<ul><li>AWS Services (S3, Glue, Lambda, Athena, CloudWatch)</li><li>Airflow or Jenkins for orchestration</li><li>Docker, Kubernetes for containerization</li><li>Snowflake, Redshift, or similar data warehouses</li><li>CI/CD tools (GitLab, Bitbucket)</li><li>Streaming technologies (Kafka)</li><li>Data governance tools (DataHub, Great Expectations)</li><li>Exposure to visualization tools like Tableau, Power BI, or MicroStrategy</li><li>Experience with Agile/Scrum methodologies</li><li>Retail domain experience is a plus</li></ul> Experience Required<ul><li>4+ years in a Data Engineer role</li><li>Bachelor’s degree in technology or related field</li></ul> Share your updated resume now.

TEKsystems Global Services Pvt Ltd

GCP Data Engineer Impetus is looking for talented GCP data engineer with experienced with GCP managed services like Dataproc, Dataflow, pub/sub, Cloud functions, Big Query, and GCS.We need individuals with<ul><li>a strong background in Big Data technologies such as Hadoop, Pyspark, Hive, Spark, and SQL database.</li><li>Proficiency in Python programming is also a must.</li></ul> Experience required: 4 to 7 years. Don't miss this chance to work with cutting-edge technologies at Impetus! If you're interested, email your resume .Immediate Joiner or Currently serving Candidate Preferred !

Impetus Technologies India Pvt Ltd

Senior Analytics Consultant – GenAI <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/company/exl-service/\&quot;" target="_blank">EXL</a> Hiring for Senior Analytics Consultant – <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (Hybrid) Join our dynamic team as a Senior GenAI Engineer and work on cutting-edge solutions that drive real business impact. What You'll Do:- Design and deploy GenAI applications: Agentic AI systems, LLM-powered tools, NLP pipelines, and chatbots.- Build scalable analytics workflows using <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23python&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Python</a> and <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23sql&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">SQL</a>.- Collaborate across teams to identify high-impact AI use cases.- Fine-tune <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a> and evaluate model performance.- Stay ahead with the latest <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> frameworks and tools. What We’re Looking For:- 4–8 years in Analytics / Data Science.- 2–3 years hands-on experience with <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (<a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23nlp&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">NLP</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23chatbots&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Chatbots</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23agenticai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">AgenticAI</a>).- Strong Python and SQL skills.- Experience in <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23prompt&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">prompt</a> <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23engineering&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">engineering</a> and custom AI agent development. Bonus Skills:- PySpark, Machine Learning, Data Engineering.- Cloud platforms (AWS, Azure, GCP).- MLOps for GenAI solutions. If interested send your resume.

EXL Service

Senior Analyst

Big Data Developer Job specification:&nbsp;We are looking for a Big Data Developer to join our team in Bangalore and Chennai<h5> </h5>Job DescriptionAbout Neostats Analytics: NeoStats is a new-age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach About the JobWe are looking for a Big Data Developer to join our team in Bangalore and Chennai. The ideal candidate should have a 5+ years of experience in the industry with experience in SQL, basic Unix command, Hive, and Hadoop environment. You will be responsible for developing and maintaining data pipelines using ETL processes, working closely with the data science team to implement data analytics pipelines, and analyzing vast amounts of data stores to uncover insights. You will also be responsible for defining data governance policies and supporting data-versioning process&nbsp;Responsibilities<ul><li>Develop and maintain data pipelines using ETL processes</li><li>Take responsibility for Apache Hadoop development and implementation</li><li>Work closely with data science team to implement data analytics pipelines</li><li>Help define data governance policies and support data-versioning processes</li><li>Maintain security and data privacy, working closely with data protection officer</li><li>Analyze vast number of data stores to uncover insights</li><li>Collaborate with cross-functional teams to analyze and visualize data</li><li>Develop and maintain data modeling techniques</li><li>Design, implement, and maintain scalable data infrastructure</li><li>Build and maintain data quality dashboards and reports</li><li>Optimize and tune Hadoop environments</li></ul> Requirements:<ul><li>5+ years of experience in the industry.</li><li>Banking Experience is mandatory.</li><li>Experience with SQL, basic Unix command, Hive, and Hadoop environment.</li><li>Experience with Python, Spark, and Hive.</li><li>Understanding of Data Warehousing and Data-Modeling techniques.</li><li>Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R).</li><li>Strong data engineering skills with Azure/AWS cloud platform.</li><li>Experience with streaming frameworks such as Kafka.</li><li>Knowledge of Linux, SQL, and any scripting language</li></ul>

Neostats Analytics Solutions Private Limited

Big Data Developer Experience: 5-8 Years We are looking for a talented Big Data Developer to join our team. The ideal candidate will be responsible for hands-on development and technical delivery of innovative components used in data driven solutions within a cross-functional, agile development team. The candidate should have a sound working knowledge of Spark, Scala, NoSQL, Big Data SQL, Hadoop, SQL, and be self-motivated to drive through rapidly changing requirements typically found in innovative business units.Key Responsibilities• Work within a cross-functional, agile development team to deliver innovative data driven solutions.• Develop and implement Big Data components and solutions using Spark, Scala, and other Big Data technologies.• Ensure technical delivery of high-quality, efficient, and scalable solutions.• Adapt to rapidly changing requirements and drive through solutions independently. Requirements• 4+ Years of experience with BigQuery SQL.• Very strong in SQL.• Experience with GCP Cloud.• Experience with Scala and SPARK.• Candidates should be able to work independently.

Eximietas Design

AI-ML Lead Engineer This job might be for you if<ul><li>You enjoy solving problems. You love taking on difficult challenges and finding creative solutions.</li><li>You don’t know the answer but will dig until you find it.</li><li>You communicate clearly. You write well.</li><li>You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference.</li><li>You can impress our customers with your enthusiasm to solve their issues (and solve them!)</li></ul> Job DescriptionAs an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities<ul><li>Collaborate with clients to understand their business processes, goals, and requirements.</li><li>Design and implement AI/ML solutions using state-of-the-art techniques and methodologies.</li><li>Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions.</li><li>Work with cross-functional teams to map AI/ML solutions to client business processes.</li><li>Perform data analysis, data preprocessing, and feature engineering as needed.</li><li>Conduct hypothesis testing, feature extraction, feature selection, cross-validation.</li><li>Develop and deploy machine learning models in a production environment.</li><li>Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation.</li><li>Communicate findings and insights effectively to both technical and non-technical stakeholders.</li><li>Ensure project deliverables meet high-quality standards and are completed on time and within budget.</li></ul> Qualifications<ul><li>Bachelor’s or master’s degree in computer science, Machine Learning, Data Science or a related field.</li><li>At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions.</li><li>Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning</li><li>Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification.</li><li>Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus.</li><li>Proficiency in programming languages such as Python or R.</li><li>Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Familiarity with MLOps is a plus</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication and presentation skills.</li></ul>

Automation Process Engineer

Big Data Developer Skills Required: Big Data &amp; Hadoop Ecosystem, Python, PySparkExperience: 5-10 Years Share your updated resume now.

Net2Source

Data Scientist Lead - Fraud AnalyticsWe know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.  As a Data Scientist Lead - Fraud Analytics at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.  Job spec requirements:The Fraud &amp; Financial crime Product function leads the 1st line of defense business for fraud &amp; financial crime risk, including ownership of the fraud &amp; financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud &amp; financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective. Job responsibilities:<ul><li>Develop and implement fraud strategies/rules to effectively detect fraudulent activities.</li><li>Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.</li><li>Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.</li><li>Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.</li><li>Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.</li><li>Share best practices across JP Morgan Chase &amp; Co.</li><li>Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners</li></ul> Required qualifications, capabilities and skills<ul><li>Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc</li><li>Knowledge of Fraud/Financial Crime process and products</li><li>Team development and management experience required.</li></ul> #ICBCareerJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

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