5534 Data Science Jobs - Page 44

Role Description : As a Technical Lead - Network Security at Incedo, you will be responsible for managing and maintaining client network security. Your duties will include implementing security protocols, monitoring security logs, conducting vulnerability assessments, collaborating with other teams to manage risk, and providing security recommendations. Roles & Responsibilities: Designing and implementing network security strategies. Identifying and mitigating network security threats and vulnerabilities. Configuring and managing security devices such as firewalls and intrusion detection systems. Conducting security audits and assessments. Collaborating with other IT teams to ensure security policies and procedures are implemented. Providing technical support for security-related issues. Maintaining documentation of security configurations and changes. Technical Skills Skills Requirements: Knowledge of network security practices such as access control, intrusion detection, and incident response. Experience in configuring and managing network security devices such as firewalls, VPNs, and IDS/IPS. Familiarity with network security monitoring tools such as Wireshark, Snort, or Bro. Understanding of security frameworks and regulations such as NIST or PCI-DSS. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .

Role Description : As a Technical Lead - Datawarehousing Development at Incedo, you will be responsible for designing and developing data warehousing solutions. You should have experience with ETL tools such as Informatica, Talend, or DataStage and be proficient in SQL. Roles & Responsibilities: Design and develop data warehousing solutions using tools like Hadoop, Spark, or Snowflake Write efficient and optimized ETL scripts Collaborate with cross-functional teams to develop and implement data warehousing features and enhancements Debug and troubleshoot complex data warehousing issues Ensure data security, availability, and scalability of production systems Technical Skills Skills Requirements: Proficiency in ETL (Extract, Transform, Load) processes and tools such as Informatica, Talend, or DataStage. Experience with data modeling and schema design for data warehousing applications. Knowledge of data warehouse technologies such as Amazon Redshift, Snowflake, or Oracle Exadata. Familiarity with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .

Role Description : As a Senior Investment ops Manager at Incedo, you will be responsible for managing investment operations for clients. You will work with clients to understand their investment needs and manage operations that meet those needs. You will be skilled in investment management tasks such as portfolio management, trade processing, and performance measurement and have experience with investment management systems such as Bloomberg or Charles River. Roles & Responsibilities: Managing investment operations processes, including trade settlements, corporate actions, and cash management Ensuring compliance with regulatory requirements and internal policies Developing and maintaining investment operations documentation and policies Collaborating with other teams to implement process improvements Providing guidance and mentorship to junior Investment Ops Managers Staying up-to-date with industry trends and best practices in investment operations. Technologies involved may include trading platforms, custodian systems, and investment management software. Technical Skills Skills Requirements: Knowledge of investment products such as equities, bonds, and derivatives Experience in managing investment operations processes such as trade settlements, portfolio accounting, and corporate actions Familiarity with investment management systems such as Bloomberg, Reuters, or FactSet Understanding of investment performance reporting and analytics Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description Role Description: Senior Scala Data Engineer Scala Data Engineer needs to be able to understand existing code and help refactor, and migrate into new environment. Role and responsibilities * Read existing scala spark code. * Create unit tests for scala spark code * Enhance and Write scala spark code. * Proficient in working with S3 file with csv and parquet format. * Proficient in working with mongodb. Building up environments independently to test assigned work, Execute manual and automated tests. Experience with enterprise tools, like Git, Azure, TFS. Experience with JIRA or similar defect tracking tool. Engage and participate on an Agile team of a world-class software developers. Apply independence and creativity to problem solving across project assignments. Effectively communicate with team members, project managers and clients, as required. Core Skills: Scala Spark AWS Glue AWS Step Functions Maven Terraform Technical Skills Technical skills requirements The candidate must demonstrate proficiency in, Reading and writing scala spark code. Good programming knowledge using Scala and Python. SQL & BDD framework knowledge Experience in aws stack like S3, Glue, Step Functions * Experience in Agile/Scrum development Full SDLC from development to production deployment. Good Comm Skills.

Role Description : As a Software Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description Responsible for Managing general accounting functions and Ensuring Accounting policies compliances. Ensuring that accounting align with UK/ US GAAP. Overseeing the daily activities of the accounting department and ensuring that all major projects, month end and year end reports are completed accurately and on time. Responsible for month end and year end close process Review the Journals entered by the teams - AP, AR, GL of respective regions Knowledge of intercompany transactions - accounting, compliance and assisting the audit of respective regions. Transition new processes and lead knowledge transition from client. Develop and document business process and accounting policies to maintain and strengthen internal controls Balance sheet reconciliations Qualifications M.com/ MBA Finance/ CA (Inter)/ CMA (Inter) Knowledge of UK/ US GAAP and IFRS shall be preferred Should have 8+ Yrs of relevant experience. Minimum 3 years of experience in team management Fluent written and spoken English skills, able to use English to communicate with worldwide peers. Administrative, organizational and communication skills Compliance oriented. Excellent planning, analytical and interpersonal skills. Working experience in SAP shall be preferred Flexibility to work in UK time

Role Description : As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description Develop and Execute SEO Strategies: Devise and implement comprehensive SEO strategies tailored to the B2B telecommunications sector, with the aim of improving search engine rankings, increasing organic search visibility, and driving qualified leads to the website Keyword Research and Analysis: Conduct in-depth keyword research and analysis, utilizing industry-leading tools and techniques, to identify high-value keywords and long-tail search terms relevant to telecommunications products, services, and solutions. Technical SEO: Perform thorough technical SEO audits of the website, identifying and rectifying any technical issues that may impact search engine crawling, indexing, and ranking. This includes optimizing website structure, improving site speed, resolving broken links, and ensuring mobile-friendliness. Content Optimization: Collaborate with content marketing teams to optimize website content, including landing pages, blog posts, and product descriptions, for target keywords and search intent. This involves ensuring content is informative, engaging, and aligned with the needs Technical Skills Extensive SEO Experience: A minimum of 7 years of hands-on experience in SEO, with a demonstrable track record of success in the B2B telecommunications sector. Deep Understanding of SEO: A comprehensive understanding of search engine algorithms, ranking factors, and the latest SEO best practices. Proven Strategic Ability: The ability to develop and implement effective SEO strategies that deliver measurable results. Analytical and Problem-Solving Skills: Strong analytical skills, with the ability to interpret data, identify trends, and solve complex SEO problems. Communication and Interpersonal Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, including content marketing, web development, and sales. Self-Motivation and Teamwork: The ability to work independently and as part of a team, taking initiative and managing multiple projects simultaneously. Technical Proficiency: Experience with SEO tools and analytics platforms, such as Google Analytics, Adobe Analytics, and SEMrush

Role Description : As a Technical Lead - Automation Testing - DataCom (Networking , L2-L3, L4-L7 Protocols) at Incedo, you will be responsible for designing and executing automated test cases and scripts for network protocols at different layers. You will collaborate with cross-functional teams to identify and resolve defects and provide recommendations for improvements to the development team. Roles & Responsibilities: Design and develop automation testing solutions for DataCom networks, including Layer 2, Layer 3, and Layer 4-7 protocols. Collaborate with stakeholders to gather and analyze requirements and design solutions that meet business needs. Configure and deploy automation testing solutions, and troubleshoot technical issues as needed. Develop and maintain documentation, including user guides and training materials. Stay up-to-date with the latest automation testing tools and techniques for DataCom networks, and make recommendations for continuous improvement. Technical Skills Skills Requirements: Strong understanding of testing methodologies and automation frameworks. Proficiency in scripting languages such as Python, Perl, and Shell. Expertise in network protocols and network testing tools. Experience in automation testing of networking products. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .

Role Description : As a Technical Lead - Automation - Functional Testing at Incedo, you will be responsible for designing and executing test cases and scripts to ensure the functionality of software products and applications. You will collaborate with cross-functional teams to identify and resolve defects and provide recommendations for improvements to the development team. Roles & Responsibilities: Design and develop automation functional testing solutions using tools such as Selenium and Appium. Collaborate with stakeholders to gather and analyze requirements and design solutions that meet business needs. Configure and deploy automation functional testing solutions, and troubleshoot technical issues as needed. Develop and maintain documentation, including user guides and training materials. Technical Skills Skills Requirements: Must have - Python, Pytest, SQL, ETL Automation, AWS, BDD , Gherkin Good to have - Java, Selenium, API Automation, Rest Assured, Postman Proficient in Automation testing tools such as Selenium or Appium Knowledge of scripting languages such as Python or JavaScript Experience with Test Automation frameworks and best practices Familiarity with Agile testing methodologies Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

The ideal candidate will have a strong background in data engineering and excellent problem-solving skills. Roles and Responsibility Design, develop, and implement large-scale data pipelines and architectures. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data systems and databases. Ensure data quality, integrity, and security. Optimize data processing workflows for improved performance and efficiency. Troubleshoot and resolve technical issues related to data engineering. Job Requirements Strong knowledge of data engineering principles and practices. Experience with data modeling, database design, and data warehousing. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

Role Description : As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Product Manager at Incedo, you will be responsible for the development and management of product roadmaps and requirements. You should have experience with Agile methodologies and be able to work collaboratively with cross-functional teams. Roles & Responsibilities: Define product vision, strategy, and roadmap in collaboration with cross-functional teams Conduct market research and competitive analysis to identify product opportunities and threats Develop and maintain product requirements, user stories, and use cases Prioritize and manage product backlog in collaboration with development teams Communicate product vision and progress to stakeholders and executive leadership Technical Skills Skills Requirements: Strong understanding of product management principles and methodologies. Ability to develop and execute product strategy and roadmaps. Experience in market research, customer needs analysis, and competitive analysis. Good communication and leadership skills. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred.

Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance. Technology Selection : Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements. Generative AI Implementation : Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design. Collaboration : Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor. Governance and Ethics : Implement responsible AI practices, addressing bias, security, and compliance in AI systems. MLOps and AIOps : Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions. Thought Leadership : Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders. Performance Optimization : Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments. Skill Set Technical Skills : Proficiency in Python, R, or Julia for AI/ML development. Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn. Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services like Amazon Bedrock or Azure AI Foundry. Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines. Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG. Understanding of data engineering concepts, including ETL processes and data lakes. Soft Skills : Strong communication to bridge technical and business teams. Analytical thinking for evaluating trade-offs and designing optimal solutions. Leadership and mentorship to guide cross-functional teams. Domain Knowledge : Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing). Certifications AWS Certified Machine Learning Specialty Microsoft Azure AI Engineer Associate Google Cloud Professional Machine Learning Engineer Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AIs Generative AI Specialization) ITIL or TOGAF for enterprise architecture alignment (optional) Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field. 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design. Proven track record of deploying AI solutions in production environments

Skill Sets Required: We're looking for someone with experience of automated testing, particularly from an Agile development or CI/CD environment. Youll be an innovative thinker who can identify opportunities and design solutions, coupled with the ability to develop complex automation code. Youll have a good understanding of Agile methodologies with experience of working in an Agile team, with the ability to relate everyday work to the strategic vision of the feature. We'll also look for you to have: Minimum 7-12 years of experience in Java, Selenium WebDriver, BDD (Cucumber, Gherkin) Solid experience in Automation Framework Design, Enhancements and Design patterns Hands on with Git, GitLab and CI/CD pipeline triggered automation execution Strong SQL skills for data validation, data extraction and data transformation tasks Experience in In-sprint automation and agile delivery Experience in API automation. Good to have skills – Python scripting knowledge. Exposure to Data Science or Generative AI (Certification or Hands on project) Additional expectations – Strong problem-solving skills and ability to drive automation best practices. Excellent communication and collaboration skills.

Job description Job Description: Internship Opportunities in Finance, Data Analytics and Others Location: Bangalore, India About Us SuccessR is a leading company dedicated to serve in all industry. We are committed to fostering a dynamic and inclusive work environment where innovation and creativity thrive. Internship Overview We are seeking enthusiastic and talented individuals to join our team as paid interns in various roles. This is a fantastic opportunity to gain hands-on experience, develop professional skills, and contribute to exciting projects in a supportive and collaborative environment. Available Internship Roles Marketing Intern Assist in the development and execution of marketing campaigns. Conduct market research and analyze trends. Support social media management and content creation. Help organize events and promotional activities. Data Analytics Intern Collect, clean, and analyze data to support business decisions. Create data visualizations and reports. Assist in developing predictive models and algorithms. Collaborate with the team on various data-driven projects. Human Resources Intern Assist in recruitment processes, including screening resumes and scheduling interviews. Support employee onboarding and training programs. Help maintain employee records and HR documentation. Contribute to HR projects and initiatives. Finance Intern Assist in financial analysis and reporting. Support budgeting and forecasting activities. Help with accounts payable and receivable processes. Participate in financial audits and compliance checks. Qualifications Currently pursuing a degree in a relevant field (e.g., Marketing, Data Science, Computer Science, Human Resources, Finance). Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Proficiency in Microsoft Office Suite and relevant tools/software for the specific role. Ability to work independently and as part of a team. Strong organizational and time management skills. Benefits Hands-on experience with real-world projects. Mentorship from experienced professionals. Opportunity to network and build connections in the industry. Potential for future full-time employment based on performance. How to Apply Interested candidates are invited to submit their resume and a cover letter detailing their interest and qualifications for the specific role to csr.eep@successr.in with the subject line "Internship Application - [Role Name]". Join us at SuccessR Hrtech Pvt Ltd and take the first step towards a rewarding career. We look forward to welcoming you to our team!

Role Description : Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the data scientists in hands-on mode developing and deploying advanced machine learning models, including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to autonomously discover problems and identify root causes and recommend actions in real-time and batch processing scenarios Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights. Reference Architectures : Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality, integrity, and accessibility for model training and inference. Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements. Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, Pre-sales: Support pre-sales, marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements. Technical Skills : In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI Able to understand the nuances of business problems in various domains, quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc. Experience in leveraging open-source LLMs and prompt engineering and RAG based SLM model development Hands-on with excellent ML programming skills in Python using open-source libraries Qualifications Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies 14-16 years of Machine Learning model development and application experience Experience in building cloud-based products that implement ML modelling as a service would be ideal

Role Description : As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills : Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills : Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills : Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Project description We are seeking an AI-ML Tech Engineer who has a minimum of 5+ years of strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve real-world problems. Responsibilities A passionate analytics expert looking for new challenges Proactive, looking for creative and innovative solutions A flexible, open-minded and cooperative person with a strong team ethic Interested in working in a fast-paced international environment as part of a global team Getting-things-done mentality Skills Must have Master's degree in computer science, computer engineering or equivalent experience At least 5 years of experience working in similar a position Experience of using Azure ML, either deploying as a platform or using the platform for model development Strong experience with Python programming language in developing enterprise level applications Proficient in designing, developing and maintaining distributed systems and services Experience in Ansible automation tool for platform IaC, deployment automation and configuration management Strong problem-solving skills with the ability to handle complex systems Good communication and teamwork skills, able to work independently and collaboratively with other teams to deliver quality software solution Fluent in English with the ability to explain complex concepts in simple terms Nice to have Agile environment Previous banking domain Other Languages English: C1 Advanced