Role & responsibilities Perform RA (Risk Assessment/Research Analysis) and SBIM (SBI Model/Business Intelligence Modeling) tasks to support business decision-making. Extract, manipulate, and analyze large datasets using SAS and SQL. Develop and maintain reports, dashboards, and analytical models for performance tracking. Work closely with stakeholders to understand business requirements and translate them into analytical solutions. Ensure data accuracy, consistency, and security in all analytics processes. Collaborate with cross-functional teams to deliver insights and recommendations. Participate in process improvement initiatives to enhance data quality and reporting efficiency. Preferred candidate profile 3-6 years of experience in data analytics, preferably in BFSI or a similar domain. Strong proficiency in SAS (Base, Enterprise Guide, Macros) and SQL (T-SQL, PL/SQL, or similar). Hands-on experience with data manipulation, cleansing, and validation. Good understanding of risk analysis, business intelligence, and statistical techniques. Ability to translate complex datasets into actionable business insights. Strong problem-solving skills and attention to detail. Excellent communication skills to interact with technical and non-technical stakeholders. Banking experience is required.
Role & responsibilities Identify client challenges and propose innovative AI/GenAI solutions, primarily leveraging Azure and OpenAI capabilities. Conduct functional and process design, prototyping, testing, training, and establish robust support procedures in partnership with data engineering and leadership teams. Design, build, and fine-tune generative AI models across applications such as NLP, computer vision, and other advanced analytics scenarios. Fine-tune and optimize large language models and open-source pre-trained transformers utilizing cloud and distributed computing environments. Collaborate closely with software engineering teams to integrate AI models effectively into existing products, services, and platforms. Develop robust APIs and scalable interfaces to ensure seamless deployment and operation of generative AI solutions. Provide technical and managerial leadership to a team dedicated to delivering AI solutions and product development. Partner with external institutions, research centers, and universities to explore and implement groundbreaking AI research initiatives. Ensure all AI solutions adhere to data privacy regulations, ethical standards, and compliance requirements. Stay current with emerging trends, tools, and best practices in machine learning and generative AI. Preferred candidate profile Mandatory: 6+ years of professional experience in AI, ML, Deep Learning, or related fields. Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related disciplines (Ph.D. preferred). Proven expertise in generative AI models, including large language models and frameworks such as OpenAI. Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex). Deep understanding of transformer architectures, attention mechanisms, and neural network design. Advanced knowledge of statistical modeling, algorithmic techniques, linear algebra, and probability theory. Hands-on experience processing and managing large-scale datasets with efficient coding practices. Demonstrated capability in program leadership, governance, and facilitating change management. Desirable: Experience with Azure Data & AI services. Familiarity with MLOps tools (MLFlow, Azure MLOps). Ability to creatively solve complex problems under resource constraints. Exceptional verbal and written communication skills, with the ability to effectively engage C-Level executives.
Job Title: Software Engineer Python & SQL Location: Bangalore (Onsite) Experience: 4+ Years Company: NeoStats Analytics About NeoStats Analytics NeoStats is a new-age Data & 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, we provide end-to-end Data & Analytics Services and are headquartered in the UAE, with offices in India & the UK. Our team of industry veterans enables structural transformations powered by expertise, true partnership, and an implementation-first approach. About the Role We are seeking a Software Engineer (Python & SQL) with strong expertise in developing and deploying automation solutions . This is an exciting opportunity for professionals who enjoy building scalable tools, optimizing workflows, and contributing to end-to-end software engineering lifecycles. Key Responsibilities Design, develop, and maintain automated tools using Python and SQL. Work across the software engineering lifecycle including design, development, testing, and deployment. Translate business requirements into technical specifications and automation workflows . Optimize existing processes through automation and orchestration . Deploy solutions in production ensuring performance, scalability, and maintainability . Participate in data transformation, migration, and integration projects . Ensure data quality and integrity across all automation pipelines. Stay updated with latest tools, frameworks, and technologies in automation and analytics . Requirements Proven hands-on experience in Python and SQL development . Strong expertise in automation, tool creation, and deployment . Solid Banking Domain Knowledge . Experience with software development best practices (version control, testing, CI/CD). Strong analytical and problem-solving skills. Ability to work independently and in cross-functional teams. Excellent communication and stakeholder collaboration skills. What We Offer Competitive Salary & Benefits Opportunity to be part of a fast-paced, growing startup Ownership of initiatives and responsibilities Continuous coaching & mentoring with senior data scientists and AI experts across the globe A dynamic and respectful work environment we truly value you Apply today and be part of NeoStats Analytics transforming businesses into world-class, data-driven organizations.
Proven track record in designing-developing and implementing Big Data or Data lake solutions. About the Job NeoStats Analytics is a new age Data & Analytics consulting firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them to world-class, data driven organizations. Established in 2022 to provide End to End Data, Analytics & AI Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable Data and Analytics transformations powered by our expertise in Data Engineering, Analytics and Generative AI, true partnership and Data to Value approach. Requirement Name :Hadoop Developer Requirement : BE or Bachelor Degree, 3-6yrs Experience Location: Chennai and Bangalore Technical Skill: SQL, Hadoop, Hive, Pyspark, Scala, Azure, c Process Knowledge : SDLC, Scrum, Agile Desired Experience Desired Experience Experience in Big Data technologies. Experience in writing SQL s. Having work experience in Control-M/Airflow and DevOps will be advantage. Good to have knowledge on Banking & Money Laundering. Should have excellent programming scripts, Debugging and analytical thinking. Experience across all stages of SDLC lifecycle. Able to write test cases and validate the results. Strong Business acumen and be able to recognize problems and opportunities and provide value added business solutions. Proven track record in designing, developing and implementing Big Data or Data lake solutions. Ability to Coordinate with multiple teams. Manage communication with stakeholders. Excellent written and oral communication. Have an eye for automation of manual tasks. Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
We are looking for a Big Data Developer to join our team in Bangalore and Chennai Job Description About Neostats Analytics: NeoStats is a new-age, Data & 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 & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach About the Job We 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 Responsibilities Develop and maintain data pipelines using ETL processes Take responsibility for Apache Hadoop development and implementation Work closely with data science team to implement data analytics pipelines Help define data governance policies and support data-versioning processes Maintain security and data privacy, working closely with data protection officer Analyze vast number of data stores to uncover insights Collaborate with cross-functional teams to analyze and visualize data Develop and maintain data modeling techniques Design, implement, and maintain scalable data infrastructure Build and maintain data quality dashboards and reports Optimize and tune Hadoop environments Requirements: 5+ years of experience in the industry. Banking Experience is mandatory. Experience with SQL, basic Unix command, Hive, and Hadoop environment. Experience with Python, Spark, and Hive. Understanding of Data Warehousing and Data-Modeling techniques. Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R). Strong data engineering skills with Azure/AWS cloud platform. Experience with streaming frameworks such as Kafka. Knowledge of Linux, SQL, and any scripting language. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
We are looking for highly talented Data Scientist to join our team in Bengaluru-India About the Job NeoStats is a new age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach. We are looking for highly talented Data Scientist to join our team in Bengaluru, India. If you are looking for a place where you can gain hands-on experience and create a direct impact, then this may be the place for you! The ideal candidate will have a track record as a significant individual contributor as well as a strong team player. Responsibilities Consult to understand business needs and translate those into technical outcomes relating to effective data solutions. Identify, interpret, and communicate meaningful insights, conclusions, and report to clients. Work with the team to produce end-to-end data analytics and BI solutions, including MIS, predictive models, experimentation frameworks, and deep analysis. Play an integral role in data preparation and data wrangling for exploratory data analysis and building AI solutions. Gather, engineer, and prepare data for stakeholders to enable smarter decision making. Use a broad set of data curation and analytical tools and techniques to enable the development of quantitative and qualitative business insights. Identify problems and analyze the development of KPIs. Deep dive and extract, organize, analyze, and visualize data using Power BI. Support management with important strategic analysis and recommendations. Candidate Profile Bachelor s or Master s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology. 3+ years experience in data science with banking exposure. Proficiency in SQL and Python; familiarity with SAS, Scala or Spark is a plus. Experience in development and deployment of predictive models and clustering methods using languages such as Python or R. SAS is a plus. Experience in translating non-trivial business requirements into data science solution, developing and deploying models (preferably to cloud-based environments) and presenting outcomes. Strong team player that is flexible and creative learning and delivering in different technologies. Ability to learn and lead with minimal oversight and work on several research projects at the same time. Proven success in contributing to a team-oriented environment. Ability to simplify and explain complex topics to stakeholders and non-technical audience. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
Role & responsibilities Develop and implement statistical models and machine learning algorithms for customer behavior prediction, and product optimization. Analyze large-scale structured and unstructured data using Python, SQL, Databricks and other data tools. Partner with business stakeholders to define problems, determine analytic approaches, and deliver insights and recommendations. Conduct deep dives into credit card customer behavior to identify opportunities for acquisition, retention, and cross-sell. Design A/B tests and interpret results to guide marketing and product strategies. Work with data engineering teams to ensure scalable and production-ready data pipelines. Knowledge of SAS is preferred. Stay updated on the latest advancements in machine learning and analytics to continuously improve models and methodologies. Collaborate with cross-functional teams to ensure alignment between analytics solutions and business objectives. Preferred candidate profile Experience: 6+ years of hands-on experience as a Data Scientist or in a similar analytical role. Technical Proficiency: Expertise in Python (pandas, numpy, scikit-learn, etc.) for data analysis and modeling. Advanced knowledge of SQL for data extraction, transformation, and manipulation. Solid experience in statistical modeling and machine learning techniques (e.g., regression, decision trees, clustering, XGBoost, SAS is preferred). Domain Knowledge: Prior experience in banking or financial services, especially in credit card analytics, is mandatory. Strong understanding of business metrics and KPIs in the financial domain. Additional Skills: Ability to design and interpret A/B tests to guide strategic decisions and for campaign management Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus. Excellent communication skills to present technical findings to non-technical stakeholders. Education: Bachelor's or masters degree in data science, Statistics, Computer Science, or a related field.
Role & responsibilities Drive the understanding and fulfillment of NBA requirements. Demonstrate subject matter expertise in Pega CDH. Actively participate in technology design discussions and review conceptual, detailed designs & estimations. Implement and manage the NBA solutions effectively. Facilitate end-to-end testing and issue resolution with swift turnaround times. Utilize deployment knowledge to oversee implementation activities. Should have experience in Pega CDH V8.8 multi app, Cloud SaaS version and retail banking domain is preferred Preferred candidate profile Proven analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with the Pega CDH framework is highly desirable. Ability to manage complex projects and multi-task effectively. Minimum 8 years of relevant experience in Pega CDH including data analytics.
We are looking for a Sales and Administration Associate for our Bangalore location Job Description NeoStats Analytics is a new age Data & Analytics consulting firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them to world-class, data driven organizations. Established in 2022 to provide End to End Data, Analytics & AI Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable Data and Analytics transformations powered by our expertise in Data Engineering, Analytics and Generative AI, true partnership and Data to Value approach. Job Summary: Coordinate with the technical team to deliver bids, proposals, and responses to RFPs, ensuring that deadlines are met and all documentation is accurate. Schedule meetings with potential clients and manage initial communications to facilitate smooth introductions. Support RFP responses by collaborating with the Head of Business Development, ensuring all sales materials are prepared and submitted on time. Assist the sales team in tracking leads, managing CRM updates, and following up on key opportunities. Ensure the sales pipeline is up to date, scheduling necessary internal discussions to review pipeline progress. Contribute to the development of sales reports and summaries for leadership review. Qualifications: 2+ years of experience in a similar role, with a blend of administrative and sales operations responsibilities. Strong proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and experience with calendar management tools. Excellent organizational skills with the ability to multitask and prioritize tasks effectively. Exceptional communication skills (written and verbal) and the ability to liaise with multiple stakeholders. Proactive problem-solving skills and a strong sense of ownership in delivering results. Experience working in fast-paced, high-pressure environments, preferably in the technology or consulting sector. Knowledge of CRM systems and basic sales operations processes is preferred. Working Condition: This is a full-time, office-based . Candidates must be available to work from the office and be flexible with working hours to accommodate business needs. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
Senior Cloud Data Engineer (Azure), India Galatic Job specification: We are a leading data analytics company seeking a highly skilled and experienced Senior Cloud Data Engineer specializing in Azure data analytics capabilities to join our team in Bangalore. About the Job We are a leading data analytics company seeking a highly skilled and experienced Senior Cloud Data Engineer specializing in Azure data analytics capabilities to join our team in Bangalore. As a Senior Cloud Data Engineer, you will play a critical role in building and managing data pipelines from various source systems, including core banking systems, digital databases, and other data repositories. Your expertise in structuring data and creating data marts will be essential in enabling our analytics teams to derive valuable insights and make data-driven decisions. Responsibilities Design and Develop Azure Data Pipelines: Architect, build, and maintain efficient and scalable data pipelines using Azure Data Factory, Azure Data Lake, Azure SQL Database, and other relevant Azure services. Source System Integration: Integrate data from diverse sources, such as core banking systems, digital databases, and third party data providers, ensuring data quality and integrity. Data Transformation and Structuring: Transform raw data into structured and usable formats for analytics purposes. Implement data cleansing, enrichment, and data quality checks as part of the data preparation process. Create Data Marts: Design and build datamarts that cater to specific business needs and analytical requirements. Collaborate with analytics teams to understand their data needs and ensure the datamarts are optimized for their consumption. Azure Analytics Expertise: Leverage your deep knowledge of Azure data analytics capabilities, including Azure Synapse Analytics, Azure Analysis Services, Power BI, and other relevant tools, to drive efficient data utilization and insights generation. Data Governance and Security: Implement data governance policies, access controls, and data security measures to ensure compliance with industry regulations and protect sensitive data. Performance Optimization: Continuously monitor and optimize data pipelines and datamarts to achieve optimal performance and scalability. Troubleshooting and Issue Resolution: Proactively identify and resolve data-related issues, performance bottlenecks, and data inconsistencies. Collaboration and Teamwork: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their requirements and deliver data solutions that meet their needs. Requirements: Minimum 7 years of hands-on experience in data engineering, with a focus on Azure data analytics technologies. Azure Certification: Must hold one or more relevant Azure certifications, demonstrating proficiency in designing, implementing, and managing Azure-based data solutions. Banking Industry Knowledge: Background or experience in the banking or financial services industry is highly preferred. Understanding banking data domains and regulatory requirements will be advantageous. Expertise in Azure Services: Strong expertise in Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and related technologies. Data Modeling and ETL: Proficiency in data modeling concepts and ETL (Extract, Transform, Load) processes. Programming Skills: Proficient in one or more programming languages commonly used in data engineering, such as Python, Scala, or SQL. Analytical and Problem-Solving Skills: Strong analytical thinking and problem-solving abilities to design efficient data solutions and troubleshoot issues. Communication and Collaboration: Excellent communication skills with the ability to work collaboratively in a team environment. Continuous Learning: A commitment to staying updated with the latest trends and advancements in Azure data analytics. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
We are seeking a highly skilled and experienced Data Scientist to join our team. About the Job NeoStats is a new-age, Data & 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 & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach. Why is working with us interesting? Are you interested to transform the data analytics capability of our clients? We re innovators, researchers, and concept designers. We investigate emerging technologies to identify upcoming trends around Analytics, AI, and Big Data and then apply them to new business models. Position Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for developing and implementing advanced analytical models and solutions to drive business insights and enhance decision-making processes. You should have a solid background in data science, machine learning, and statistical analysis, along with strong programming skills and a deep understanding of business objectives. Responsibilities: Design, develop, and deploy advanced analytical models and algorithms to solve complex business problems and generate actionable insights. Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop data-driven solutions. Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability. Apply statistical techniques, machine learning algorithms, and data mining methods to develop predictive and prescriptive models. Evaluate model performance, iterate on improvements, and optimize models for scalability and efficiency. Identify relevant features and variables that can enhance model performance and contribute to business goals. Communicate complex analytical findings and insights to technical and non-technical stakeholders through effective data visualizations, reports, and presentations. Keep abreast of the latest advancements in data science, machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization. Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies. Collaborate with external partners, such as research institutions or universities, to explore innovative data science approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Qualifications: Bachelor s or master s degree in computer science, Statistics, Mathematics, or a related field. Banking experience required. 7+ years of professional experience in data science, machine learning, or a related field. Strong statistical analysis, predictive modeling, and machine learning algorithms expertise. Proficiency in programming languages such as Python, R, or Scala, along with experience using data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of database systems, SQL, and data manipulation techniques. Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing environments. Demonstrated ability to translate business problems into analytical solutions and deliver actionable insights. Excellent data visualization and communication skills, with the ability to present complex concepts to technical and non-technical stakeholders. Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment. Location Bangalore, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
Collaborate with business stakeholders, data architects, and business analysts to understand and document data requirements. Design logical and physical data models that meet business needs and align with industry best practices. Develop and maintain data dictionaries, ensuring that data definitions and relationships are clearly documented. Identify and resolve data model inconsistencies, redundancies, and anomalies to improve data quality and integrity. Perform data profiling and analysis to identify data patterns, trends, and anomalies. Work closely with database administrators to ensure the efficient implementation and optimization of data models in database management systems. Evaluate and recommend data modeling tools, methodologies, and standards to improve data modeling processes and productivity. Collaborate with ETL (Extract, Transform, Load) developers to define data integration requirements and design data transformation processes. Participate in data governance initiatives to ensure compliance with data standards, policies, and regulations. Stay up to date with industry trends, emerging technologies, and best practices in data modeling and data management. Design and develop an API gateway to implement data tokenization/masking. Qualifications: bachelors degree in Computer Science, Information Systems, or a related field. A masters degree is a plus. Proven experience as a Data Modeler or in a similar role, designing and implementing data models for enterprise-level applications. Strong understanding of data modeling concepts, principles, and methodologies, such as entity-relationship modeling, dimensional modeling, and data normalization. Proficiency in data modeling tools such as ERwin, PowerDesigner, or similar. In-depth knowledge of relational database management systems (RDBMS) and SQL. Familiarity with data integration concepts and tools, including ETL processes and data warehousing. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. Familiarity with data governance frameworks, data quality management, and data security concepts. Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment. Ability to design and implement data tokenization/masking systems. Experience in developing secure API Gateways. Understanding of python API frameworks such as Flask or FastAPI. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you
We are seeking a highly skilled and experienced Data Scientist to join our team. About the Job NeoStats is a new-age, Data & 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 & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach. Why is working with us interesting? Are you interested to transform the data analytics capability of our clients? We re innovators, researchers, and concept designers. We investigate emerging technologies to identify upcoming trends around Analytics, AI, and Big Data and then apply them to new business models. Position Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for developing and implementing advanced analytical models and solutions to drive business insights and enhance decision-making processes. You should have a solid background in data science, machine learning, and statistical analysis, along with strong programming skills and a deep understanding of business objectives. Responsibilities: Design, develop, and deploy advanced analytical models and algorithms to solve complex business problems and generate actionable insights. Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop data-driven solutions. Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability. Apply statistical techniques, machine learning algorithms, and data mining methods to develop predictive and prescriptive models. Evaluate model performance, iterate on improvements, and optimize models for scalability and efficiency. Identify relevant features and variables that can enhance model performance and contribute to business goals. Communicate complex analytical findings and insights to technical and non-technical stakeholders through effective data visualizations, reports, and presentations. Keep abreast of the latest advancements in data science, machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization. Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies. Collaborate with external partners, such as research institutions or universities, to explore innovative data science approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Qualifications: Bachelor s or master s degree in computer science, Statistics, Mathematics, or a related field. Banking experience required. 7+ years of professional experience in data science, machine learning, or a related field. Strong statistical analysis, predictive modeling, and machine learning algorithms expertise. Proficiency in programming languages such as Python, R, or Scala, along with experience using data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of database systems, SQL, and data manipulation techniques. Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing environments. Demonstrated ability to translate business problems into analytical solutions and deliver actionable insights. Excellent data visualization and communication skills, with the ability to present complex concepts to technical and non-technical stakeholders. Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment. Location Bangalore, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
We are looking for highly talented Data Scientist to join our team in Bengaluru-India About the Job NeoStats is a new age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach. We are looking for highly talented Data Scientist to join our team in Bengaluru, India. If you are looking for a place where you can gain hands-on experience and create a direct impact, then this may be the place for you! The ideal candidate will have a track record as a significant individual contributor as well as a strong team player. Responsibilities Consult to understand business needs and translate those into technical outcomes relating to effective data solutions. Identify, interpret, and communicate meaningful insights, conclusions, and report to clients. Work with the team to produce end-to-end data analytics and BI solutions, including MIS, predictive models, experimentation frameworks, and deep analysis. Play an integral role in data preparation and data wrangling for exploratory data analysis and building AI solutions. Gather, engineer, and prepare data for stakeholders to enable smarter decision making. Use a broad set of data curation and analytical tools and techniques to enable the development of quantitative and qualitative business insights. Identify problems and analyze the development of KPIs. Deep dive and extract, organize, analyze, and visualize data using Power BI. Support management with important strategic analysis and recommendations. Candidate Profile Bachelor s or Master s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology. 3+ years experience in data science with banking exposure. Proficiency in SQL and Python; familiarity with SAS, Scala or Spark is a plus. Experience in development and deployment of predictive models and clustering methods using languages such as Python or R. SAS is a plus. Experience in translating non-trivial business requirements into data science solution, developing and deploying models (preferably to cloud-based environments) and presenting outcomes. Strong team player that is flexible and creative learning and delivering in different technologies. Ability to learn and lead with minimal oversight and work on several research projects at the same time. Proven success in contributing to a team-oriented environment. Ability to simplify and explain complex topics to stakeholders and non-technical audience. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
We are looking for a highly motivated and organized Sales and Administration Associate to join our team at NeoStats Analytics Solution. The ideal candidate will have 2 to 7 years of experience in sales and administration, with excellent communication skills. Roles and Responsibility Develop and implement effective sales strategies to achieve business goals. Build and maintain strong client relationships to drive sales growth. Conduct market research to identify new business opportunities. Collaborate with cross-functional teams to develop and launch new products. Provide exceptional customer service to ensure high levels of customer satisfaction. Analyze sales data to optimize sales performance. Job Requirements Proven experience in sales and administration, with a minimum of 2 years of experience. Excellent communication, interpersonal, and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and organizational skills, with attention to detail. Experience with sales software and tools, such as CRM systems. Ability to build and maintain strong relationships with clients and colleagues. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Senior Cloud Data Engineer (Azure), India - NeoStats Job specification: We are a leading data analytics company seeking a highly skilled and experienced Senior Cloud Data Engineer specializing in Azure data analytics capabilities to join our team in Bangalore. About the Job We are a leading data analytics company seeking a highly skilled and experienced Senior Cloud Data Engineer specializing in Azure data analytics capabilities to join our team in Bangalore. As a Senior Cloud Data Engineer, you will play a critical role in building and managing data pipelines from various source systems, including core banking systems, digital databases, and other data repositories. Your expertise in structuring data and creating data marts will be essential in enabling our analytics teams to derive valuable insights and make data-driven decisions. Responsibilities Design and Develop Azure Data Pipelines: Architect, build, and maintain efficient and scalable data pipelines using Azure Data Factory, Azure Data Lake, Azure SQL Database, and other relevant Azure services. Source System Integration: Integrate data from diverse sources, such as core banking systems, digital databases, and third party data providers, ensuring data quality and integrity. Data Transformation and Structuring: Transform raw data into structured and usable formats for analytics purposes. Implement data cleansing, enrichment, and data quality checks as part of the data preparation process. Create Data Marts: Design and build datamarts that cater to specific business needs and analytical requirements. Collaborate with analytics teams to understand their data needs and ensure the datamarts are optimized for their consumption. Azure Analytics Expertise: Leverage your deep knowledge of Azure data analytics capabilities, including Azure Synapse Analytics, Azure Analysis Services, Power BI, and other relevant tools, to drive efficient data utilization and insights generation. Data Governance and Security: Implement data governance policies, access controls, and data security measures to ensure compliance with industry regulations and protect sensitive data. Performance Optimization: Continuously monitor and optimize data pipelines and datamarts to achieve optimal performance and scalability. Troubleshooting and Issue Resolution: Proactively identify and resolve data-related issues, performance bottlenecks, and data inconsistencies. Collaboration and Teamwork: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their requirements and deliver data solutions that meet their needs. Requirements: Minimum 7 years of hands-on experience in data engineering, with a focus on Azure data analytics technologies. Azure Certification: Must hold one or more relevant Azure certifications, demonstrating proficiency in designing, implementing, and managing Azure-based data solutions. Banking Industry Knowledge: Background or experience in the banking or financial services industry is highly preferred. Understanding banking data domains and regulatory requirements will be advantageous. Expertise in Azure Services: Strong expertise in Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and related technologies. Data Modeling and ETL: Proficiency in data modeling concepts and ETL (Extract, Transform, Load) processes. Programming Skills: Proficient in one or more programming languages commonly used in data engineering, such as Python, Scala, or SQL. Analytical and Problem-Solving Skills: Strong analytical thinking and problem-solving abilities to design efficient data solutions and troubleshoot issues. Communication and Collaboration: Excellent communication skills with the ability to work collaboratively in a team environment. Continuous Learning: A commitment to staying updated with the latest trends and advancements in Azure data analytics. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
We are looking for a Big Data Developer to join our team in Bangalore and Chennai Job Description About Neostats Analytics: NeoStats is a new-age, Data & 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 & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach About the Job We 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 Responsibilities Develop and maintain data pipelines using ETL processes Take responsibility for Apache Hadoop development and implementation Work closely with data science team to implement data analytics pipelines Help define data governance policies and support data-versioning processes Maintain security and data privacy, working closely with data protection officer Analyze vast number of data stores to uncover insights Collaborate with cross-functional teams to analyze and visualize data Develop and maintain data modeling techniques Design, implement, and maintain scalable data infrastructure Build and maintain data quality dashboards and reports Optimize and tune Hadoop environments Requirements: 5+ years of experience in the industry. Banking Experience is mandatory. Experience with SQL, basic Unix command, Hive, and Hadoop environment. Experience with Python, Spark, and Hive. Understanding of Data Warehousing and Data-Modeling techniques. Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R). Strong data engineering skills with Azure/AWS cloud platform. Experience with streaming frameworks such as Kafka. Knowledge of Linux, SQL, and any scripting language. What we offer: Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment we truly value you. Location Bengaluru, India Apply for this position Are you serving Notice Period in your current Organization Are you willing to work from NeoStats office 5 days a week? LinkedIn Profile Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *
Collaborate with business stakeholders, data architects, and business analysts to understand and document data requirements. Design logical and physical data models that meet business needs and align with industry best practices. Develop and maintain data dictionaries, ensuring that data definitions and relationships are clearly documented. Identify and resolve data model inconsistencies, redundancies, and anomalies to improve data quality and integrity. Perform data profiling and analysis to identify data patterns, trends, and anomalies. Work closely with database administrators to ensure the efficient implementation and optimization of data models in database management systems. Evaluate and recommend data modeling tools, methodologies, and standards to improve data modeling processes and productivity. Collaborate with ETL (Extract, Transform, Load) developers to define data integration requirements and design data transformation processes. Participate in data governance initiatives to ensure compliance with data standards, policies, and regulations. Stay up to date with industry trends, emerging technologies, and best practices in data modeling and data management. Design and develop an API gateway to implement data tokenization/masking.
Role & responsibilities Lead the design, development, and deployment of propensity and next-best-action models to support cross-sell, upsell, acquisition, churn, and retention initiatives. Perform data wrangling, cleaning, transformation, and analysis on large, complex datasets to ensure data quality and usability. Apply supervised and unsupervised learning techniques, including logistic/linear regression, random forests, XGBoost/LightGBM, clustering, PCA/UMAP, and anomaly detection methods. Execute feature engineering, model evaluation, interpretability (e.g., SHAP/LIME), and monitoring (e.g., drift detection, stability, calibration). Collaborate with engineering teams to productionize and automate models using Git, CI/CD pipelines, and job orchestration tools. Preferred candidate profile 4-10+ years of hands-on experience in data analysis, wrangling, and statistical modeling. Strong proficiency in Python and SQL (mandatory). Working knowledge of SAS (optional, but a plus). Solid understanding of inferential statistics, experimental design, and hypothesis testing. Proven experience in AI/ML modeling and deployment for business use cases. Domain experience in Banking or FinTech is strongly preferred. Experience with model interpretability, drift detection, and model performance monitoring. Familiarity with MLOps tools and cloud platforms (AWS, GCP, or Azure). Exposure to data storytelling and executive presentations. Excellent problem-solving, analytical, and communication skills, with the ability to simplify complex results for non-technical audiences.
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