2726 Data Science Jobs - Page 20

Primary skills- Python, SQL Coding skills, Big Query, Dataflow, Airflow, Kafka and Airflow Dags. Bachelors Degree or equivalent experience in Computer Science or related field Required- Immediate or 15 days Job Description 7+ years experience as a software engineer or equivalent designing large data-heavy distributed systems and/or high-traffic web-apps Experience in at least one programming language (Python strongly preferred) Hands-on experience designing & managing large data models, writing performant SQL queries, and working with large datasets and related technologies Experience designing & interacting with APIs (REST/GraphQL) Experience working with cloud platforms such as AWS, GCP, or Azure (GCP preferred) Experience in DevOps processes/tooling (CI/CD, GitHub Actions), using version control systems (Git strongly preferred), and working in a remote software development environment Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience using big data tools such as Spark/PySpark Preferred: Experience using or deploying MLOps systems/tooling (eg. MLFlow) Preferred: Experience in pipeline orchestration (eg. Airflow) Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience in an additional programming language (JavaScript, Java, etc) Preferred: Experience developing UI/UX with modern tools (React, etc) Preferred: Experience using data science/machine learning technologies.

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D . And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. About the Role Love deep data. Love discussing solutions instead of problems. Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift.

We are looking for enthusiastic individuals passionate about AI and ML to join our internship program. As an intern at Pragyan AI, you will have the opportunity to work on real-world projects, collaborate with experienced professionals, and gain valuable hands-on experience in cutting-edge technologies. Requirements: Currently pursuing a degree in Computer Science, Engineering, or related field. Strong understanding of machine learning algorithms and techniques. Proficiency in programming languages such as Python, R, or Java. Excellent analytical and problem-solving skills. Ability to work independently and in a team environment. If you are passionate about AI and eager to learn, we want to hear from you!

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Description: Data Scientist with Pharma Background Role Overview: The Data Scientist will leverage expertise in pharmaceutical manufacturing data, particularly Electronic Batch Records (EBR), to develop predictive models, ensure data integrity, and drive analytics initiatives that enhance manufacturing compliance and efficiency. This role requires collaboration with cross-functional teams including manufacturing, quality assurance, regulatory, and IT to transform raw EBR data into actionable insights aligned with Good Manufacturing Practices (GMP) and Pharma 4.0 initiatives. Core Responsibilities Analyze and interpret large-scale EBR and manufacturing datasets to identify trends, anomalies, and opportunities for process improvement and risk mitigation. Develop and deploy advanced statistical models and machine learning algorithms to predict batch quality outcomes, detect deviations, and optimize production workflows. Ensure data integrity and compliance by working closely with quality and regulatory teams to maintain audit trails, electronic signatures, and documentation standards as per cGMP requirements. Integrate EBR data with other enterprise systems such as MES, LIMS, and ERP to create unified data models supporting end-to-end manufacturing analytics. Collaborate with IT and software developers to implement data pipelines, dashboards, and visualization tools that provide real-time insights to manufacturing and quality stakeholders. Lead efforts in digital transformation projects aligned with Pharma 4.0, including automation, real-time monitoring, and advanced analytics. Communicate complex analytical findings effectively to both technical and non-technical stakeholders to drive data-driven decision-making. Participate in validation and qualification activities for analytics solutions to ensure compliance with regulatory standards. Provide training and support to manufacturing teams to facilitate adoption of analytics tools and foster a data-driven culture. Required Skills and Experience Strong statistical and mathematical background with expertise in data mining, predictive modeling, and causal analysis. Hands-on experience with pharmaceutical manufacturing data, especially Electronic Batch Records (EBR), and understanding of batch production processes. Knowledge of regulatory compliance requirements related to data integrity, cGMP, and audit readiness in pharma manufacturing. Proficiency in programming languages such as Python and/or R for data analysis, modeling, and automation. Experience with cloud platforms (e.g., AWS) and big data technologies for scalable analytics solutions. Familiarity with integrating and analyzing structured and unstructured data from MES, LIMS, ERP, and EBR systems. Ability to manage complex data integration challenges and maintain secure, compliant data environments. Excellent problem-solving skills and ability to work collaboratively across geographies and functions. Prior experience in pharma or biotech industry analytics roles, preferably involving Medical Affairs or manufacturing data analytics. Knowledge of natural language processing (NLP) and advanced visual analytics is a plus. Preferred Qualifications 4+ years of advanced analytics experience, including machine learning and statistical modeling. 7+ years of experience with a strong focus on pharmaceutical data science. Experience in causal inference, AI/ML applications, and predictive modeling in pharma contexts. Familiarity with electronic signature systems, digital audit trails, and EBR software platforms. Strong communication skills to translate analytics into business insights and influence decision-making.

Skill Data Science - AI Data Science - ML Minimum Qualification B.Tech/B.E CERTIFICATION No data available Working Language English Job Description Data Analyst with AI/ML expertise responsible for leveraging advanced data analytics, statistical techniques, and machine learning (ML) methodologies to provide actionable insights, optimize business processes, and support data-driven decision-making. The role requires strong collaboration with IT leadership to align analytics initiatives with organizational goals, as well as mentoring junior team members in data analysis and AI/ML practices

Company: Blubridge Technologies Pvt Ltd Role: Data Scientist - R&D Vacancies: 15 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Analyze and preprocess large-scale datasets to ensure data quality and reliability. Develop and implement statistical and machine learning models, including transformer-based algorithms. Conduct exploratory data analysis to derive meaningful insights for research projects. Systematically explore and optimize hyperparameters and scaling laws to enhance model accuracy and efficiency. Collaborate with cross-functional teams to develop and refine experimental workflows. Implement comprehensive data collection strategies, scraping publicly available multi-domain sources for diverse content. Perform advanced preprocessing and deduplication, ensuring data is cleaned, normalized, and consistent. Design and manage rigorous quality assurance pipelines to validate data quality, diversity, and representativeness. Employ innovative multilingual tokenization and document packing techniques for efficient and cohesive context learning. Document methodologies, results, and contribute to research publications. Stay updated on the latest research methodologies, tools, and techniques in data science and AI. Requirements: Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistical inference. Excellent analytical and logical reasoning skills. Bachelors/Masters/PhD in Data Science, Statistics, Computer Science, AI, Machine Learning, or related fields. Added Advantage: Proficiency in Python and familiarity with relevant data science libraries (NumPy, Pandas, SciPy, Matplotlib, Scikit-learn). Good understanding of machine learning concepts and techniques. Demonstrated ability to work effectively within a collaborative research environment. Experience or familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Knowledge of distributed computing and optimization for GPU-based environments. Prior research experience or publications in data science or related fields. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Access to high-performance computing resources for data analysis and modeling. Access to the latest tools and technologies in AI.

* Strong programming skills in Python, including knowledge of libraries like NumPy, Pandas, Matplotlib, and Seaborn. * Proficiency in AI/ML frameworks: scikit-learn, TensorFlow, Keras, or PyTorch. *LLM

Job Description Responsibilities: Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analyzing disaggregated data utilizing modeling, statistics, and machine learning. Work with diverse data sets to clean, manipulate, and analyze data using tools such as R, Python, and SQL Apply a range of statistical techniques and modeling processes to transactional and attitudinal data to help answer our clients business questions Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clients Share analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniques Simplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiences Support the continuous improvement and development of our advanced analytical techniques and how we run them Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-class Requirements: Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not required Technical Skills: Proficiency in R and Git is essential. Knowledge of SAS, SQL, Python and Shiny are desirable. Analytical Mindset: Strong interest in understanding consumer behaviour and how brands can grow through data-driven insights. Strong analytical thinking ability Data Handling: Hands-on experience in working with large datasets, performing statistical analyses, running machine learning models, and visualizing results using the R ecosystem Industry Knowledge: Experience working with panel or survey data is an advantage but not mandatory Experience working with relevant modeling techniques clustering techniques, regression, probability modeling, and others Highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions Critical thinking and genuine passion for consumer behaviour. Possesses outstanding communication and interpersonal skills to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner Fluency in spoken and written English is mandatory

Artha India Ventures is looking for Data Analytics & Research Intern to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

ClanX is looking for Senior Machine Learning Engineer - Web3 to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

We re hiring a Senior AI Engineer to lead the development and deployment of cutting-edge AI systems, with a focus on large language models (LLMs), real-time conversational agents, multimodal intelligence, and multilingual capabilities This role bridges deep ML expertise, system design, and hands-on implementation ideal for someone excited to turn AI innovation into real world product impact You ll work across open-source and commercial models, cloud platforms, and global user contexts to shape the future of AI-driven user experiences *** This is a hybrid position - working 3 days a week from our Bangalore office

Hiring for AIML Engineer - Bangalore Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions that solve real-world problems and add value to our products and services. Key Responsibilities: Design and implement machine learning models and algorithms for classification, regression, clustering, NLP, or computer vision tasks. Work with large datasets, perform data preprocessing, cleaning, and feature engineering. Collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems. Continuously monitor and improve the performance of AI/ML solutions. Research and stay up to date with the latest trends and advancements in AI/ML. Write efficient, reusable, and well-documented code. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras. Experience with data manipulation tools like Pandas, NumPy, and SQL. Understanding of supervised, unsupervised, and reinforcement learning algorithms.

We are seeking a Senior Data Scientist with strong engineering skills and hands-on experience in Python , FastAPI , and asynchronous programming , along with a deep understanding of LLM orchestration frameworks like LangChain and LangGraph . The ideal candidate should have proven experience designing and deploying agentic AI systems using frameworks such as A2A and CrewAI . This role combines data science expertise with backend development and generative AI innovations, driving impactful solutions across domains. Key Responsibilities: Design and deploy intelligent applications using LLMs with LangChain and LangGraph. Build and orchestrate agentic workflows using A2A, CrewAI, or similar frameworks. Develop robust, scalable APIs using FastAPI and async programming. Implement end-to-end pipelines that integrate AI agents with external APIs, databases, and tools. Conduct prompt engineering, memory management, retrieval augmentation, and tool integration. Evaluate and improve model performance through experimentation and fine-tuning. Collaborate with ML engineers, product managers, and backend developers to deliver AI-powered features. Stay abreast of the latest advancements in the LLM, agentic AI, and multi-agent system space. Required Skills & Experience: Strong Python programming expertise (6+ years). Experience building REST APIs with FastAPI and handling async/await operations. Deep understanding of LLM frameworks like LangChain , LangGraph , or custom agent frameworks. Experience with multi-agent orchestration frameworks like AutoGen , A2A , CrewAI , etc. Experience in prompt engineering , RAG (retrieval-augmented generation) , and vector DBs (e.g., FAISS, Pinecone). Good grasp of architectural patterns for scalable AI applications. Knowledge of common LLM APIs (e.g., OpenAI, Anthropic, Cohere).

You will be at the forefront of dunnhumby s research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation What we expect from you Degree or equivalent in a statistical or mathematical subject. 5 to 7 Years of experience in Data Science Good understanding of statistics and mathematical methodologies used - especially forecasting, regression, linear models, time series, hypothesis tests and optimisation Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets Good understanding of machine learning techniques, with applications to classification, prediction and clustering Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects Good working knowledge of databases, including SQL, relational and non-relational data models Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost Research the latest machine learning approaches Good grasp of Object-Oriented Programming Stakeholder Management Ability to quickly learn open-source statistics and machine learning packages - Pandas, SciPy, Scikit - learning, Tensor flow. Experience in developing solutions related to Market Mix Modelling, Causal AI and Generative AI

About us Bain & Company is a global management consulting that helps the worlds most ambitious change makers define the future Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry, In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies BCN is an integral and largest unit of (ECD) Expert Client Delivery ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property The BCN comprises of Consulting Services, Knowledge Services and Shared Services, Who you will work with Bain & Company is the leading consulting partner to the private equity industry and its stakeholders PEG (Private Equity Group) in Bain provides comprehensive advisory services to investors across the entire investment lifecycle PEG expertise spans from pre-investment strategy and due diligence to post-acquisition value creation and portfolio management, PIT is a specialized division dedicated to supporting the private equity sector and its stakeholders A key area of focus is harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making By integrating expertise in due diligence, operational improvement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market, What youll do This is an opportunity to be a part of BCN Data business expanding science capability area This position will be part of the PIT (PEG Innovation Team) Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bains DD2030 (Due Diligence 2030) initiative, Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space, Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages, The person in this role will need to: Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks, Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI, About you A Bachelors or Masters degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3-5 years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration, Proficiency with data wrangling in either R or Python is required Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must, Experience with Micrsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience, What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years We believe that diversity, inclusion and collaboration is key to building extraordinary teams We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents,

Embark on a transformative journey as a Data Science Decision Analyst Assistant Vice President at Barclays, where you'll play a pivotal role in shaping the future In this role, you will be responsible to provide guidance to other team members on all aspects of coding, including efficiency, work with Big Data Join us in our mission to safeguard our business and customers from financial risks With competitive benefits and opportunities for career advancement, Barclays is a great place to grow your career in the banking industry, Key Critical Skills Required For This Role Include Ability to work dedicated shifts in the range of 12 Noon IST to 12 AM IST, Minimum 6 Years experience in Data Science Domain (Analytics and Reporting), Ability to write and study and correct Python, SQL code is mandatory, Ability to work with Big Data, Ability to articulate a Value Proposition and Enhancement opportunity, Visualization Tools exposure like Power BI, Tableau, AWS Services exposure, Machine Learning Operations Py Spark exposure You may be assessed on key essential skills relevant to succeed in role, such as strong knowledge on Python, SQL, Big Data, Power BI, Tableau strategic thinking as well as job-specific technical skills, This role is based out of Noida, Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources, Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, Execution of data cleansing and transformation tasks to prepare data for analysis, Designing and building data pipelines to automate data movement and processing, Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems, Documentation of data quality findings and recommendations for improvement, Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions, Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes, Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues, Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda, Take ownership for managing risk and strengthening controls in relation to the work done, Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy, Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively, Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience, Influence or convince stakeholders to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

ABOUT US: Bain & Company is a global consultancy that helps the worlds most ambitious change makers define the future Across 61 offices in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry, In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies BCN plays a critical role in supporting Bain's case teams globally to help with analytics and research across all industries, for corporate cases, client development, private equity diligence or Bain intellectual property The BCN comprises of Consulting Services, Knowledge Services and Shared Services, WHO YOULL WORK WITH: This role is based out of the People & ORG CoE which sits in the broader Data & Tech cluster at the BCN People & ORG CoE works on building and deploying analytical solutions pertaining to Operating Model and Organization Practice The team primarily helps Bain case teams, across geographies and industries, solve critical client issues by applying battle-proven diagnostics/ solutions that can identify client pain points related to org, culture, and talent The team also plays a significant role in creating, testing, and contributing to the proprietary products and Bain IP within the Org domain This role will focus on development, maintenance and evolution of the state-of-the art org tool and data assets, WHAT YOULL DO: Become an expert and own, maintain and evolve advanced internal tools (Python focused) as well as help develop new tools with LLMs and GenAI, in individual capacity Be responsible for end-to-end handling of the entire tool process, i-e , developing Python scripts, troubleshooting errors, etc Help with case delivery related to those tools and generate meaningful insights for Bain clients Potentially build and maintain internal web applications using front-end technologies (HTML, CSS, JavaScript) and frameworks like Streamlit; ensure compatibility across devices and browsers Work under the guidance of a Team Manager / Sr Team Manager, playing a key role in driving the teams innovation, especially on GenAI topics identifying areas for automation and augmentation, helping team create efficiency gains Lead internal team calls and effectively communicate data, knowledge, insights and actionable next steps on tool development, relaying implications to own internal team where necessary Keep abreast of new and current statistical, database, machine learning, and advanced analytics techniques ABOUT YOU: Candidate should be a Graduate/ Post-graduate from top-tier college with strong academic background Must-have relevant experience of 4+ years on Python, with experience using/ building tools using GenAI, LLMs or Machine Learning will be preferred Advanced understanding of database design and Azure/ AWS servers functioning would be preferred Good to have experience in SQL, Git, and hands-on experience with statistical and machine learning models (e-g , regression, classification, clustering, NLP, ensemble methods), including practical application in business contexts Good to have experience of HTML, CSS, JavaScript (ES6+), pgadmin and low-code development tools such as Streamlit, Mendix, Power Apps Experience with data science/ data analytics and ETL tools such as Alteryx, Informatica, will be a plus Must be able to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Must be willing to own and maintain high visibility and high impact product Experience in managing productized solutions will be helpful Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines WHAT MAKES US A GREAT PLACE TO WORK: We are proud to beconsistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years We believe that diversity, inclusion and collaboration is key to building extraordinary teams We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work fordiversity and inclusion, women, LGBTQ and parents,

Role & responsibilities: : Define and own the AI transformation strategy across the enterprise, aligned with business priorities and Group ITs digital roadmap. Identify, prioritize, and drive AI use cases that deliver measurable value across functions (e.g., R&D, supply chain, commercial, operations). Establish governance and standards for responsible AI development and usage (e.g., ethical frameworks, data privacy, model lifecycle management). Lead cross-functional teams to design, pilot, and scale AI solutionspartnering with data scientists, engineers, business analysts, and IT delivery teams. Act as a trusted advisor to senior leaders on AI trends, capabilities, and value potential, translating complex concepts into actionable insights. Develop and mature AI capabilities across the organization, including platform selection, talent development, and operating model evolution. Foster a culture of innovation and experimentation, championing AI literacy and embedding agile, data-driven thinking into the organization. Monitor industry trends and emerging technologies, bringing external perspective to shape internal AI innovation. Preferred candidate profile: Proven experience in leading AI, data science, or digital transformation programs at scale. Strong understanding of AI/ML technologies, enterprise IT environments, and data ecosystems. Demonstrated ability to bridge strategy and execution, with a track record of delivering business outcomes through AI. Excellent stakeholder management and communication skills, especially with non-technical audiences and executive leadership Experience in regulated industries (e.g., life sciences, finance, healthcare) is an advantage. Bachelor's or masters degree in computer science, Data Science, Engineering, or related field. MBA or equivalent business qualification is a plus.

ECMS# * 529575 Number of openings 3 Job Title* Python Developer Work Location (with ZIP code for US) Bagmane Constellation Business Park, Ferns City, Doddanekkundi, Bengaluru, Karnataka 560048 Vendor Rate* 8500 INR per day Contract duration (in months)* 6 - 12 months Job Description Mandatory Skill: 5+ years development experience in Python Good knowledge in software development & Testing Ready to work from Google Bangalore office Python development Experience 5+ Years

Amazon Fulfillment Technologies (AFT) is seeking an innovative and results-driven manager to join our team. AFT is the backbone of Amazons global operations, developing cutting-edge software, hardware, and processes that power our vast network of fulfillment centers that move billions of units of inventory, employs tens of thousands of people, and ensures that customers get what they want when promised. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Were looking for an experienced software development maanger with a proven track record in delivering complex distributed software systems. The ideal candidate should have a comprehensive understanding of the entire software development and deployment lifecycle, including: system design and architecture, development, comprehensive documentation, rigorous testing methodologies and efficient operations. You must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. Youll be joining a team responsible for a wide range of receive services that form the foundation of Amazons Inbound Fulfillment operations. In this role, youll contribute to our mission of optimizing automation for tasks best suited to technology while leveraging human expertise where its most valuable. Your work will directly impact the efficiency and effectiveness of Amazons global fulfillment network, ensuring we continue to meet and exceed customer expectations. Manage a two pizza team in AFT Inbound Create and deliver roadmap to increase receive accuracy Design and Maintain multiple Tier-1 Services Manage operational and business metrics Work closely with worldwide stakeholders in product, data science and fulfilment operations and peer AFT teams A day in the life We are looking for highly motivated managers who are able to innovate in a fast paced, mission critical software eco system to change the landscape of Amazon Fulfilment. About the team AFT Inbound is at the center of Amazons fulfilment operations and ensures our end customers have great product selection, while our vendors and suppliers have a bar raising experience with Amazon. In this role, you will develop and manage multiple critical Tier-1 services that are at the heart of Amazon Fulfilment. 7+ years of engineering experience 3+ years of engineering team management experience 8+ years of leading the definition and development of multi tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Job Summary As a Data Scientist at Bluphlux, you will play a pivotal role in leveraging advanced data analytics and machine learning techniques to enhance our recruitment processes. You will work closely with our innovative team to develop and implement models that improve the accuracy and efficiency of candidate selection, ensuring that our clients receive the best possible matches for their job openings. Key Responsibilities Develop and implement machine learning models to improve recruitment processes. Analyze large datasets to extract meaningful insights and trends. Collaborate with cross-functional teams to integrate data-driven solutions into our recruitment platform. Continuously evaluate and refine algorithms to enhance performance and accuracy. Stay updated with the latest advancements in data science and machine learning to ensure our solutions remain cutting-edge. Required Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist or similar role. Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks and libraries. Excellent analytical and problem-solving skills. Preferred Skills Experience in the recruitment or HR tech industry. Familiarity with natural language processing (NLP) techniques. Knowledge of cloud platforms and big data technologies.

Associate Director / Director - Marketing (Head of In-App Growth) Associate Director / Director - Marketing About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview We are seeking a seasoned growth leader to take ownership of our in-app growth at Junglee Games. This role will focus on increasing share of organic conversions by optimizing referral programs , social sharing features and cross-sell initiatives across all Junglee Games titles. The ideal candidate combines a strong analytical mindset with product sensibility and cross-functional leadership skills to drive initiatives at scale. Job Location Gurgaon Key Responsibilities Referrals & Virality: Design, launch, and scale effective referral and incentive programs that drive user acquisition and retention. Coordinate with all game stakeholders to own and understand the test pipeline and move the needle on the core KPIs Social Sharing: Develop in-app social constructs that encourage users to share game experiences, achievements, and rewards by understanding their intrinsic motivation to increase player engagement and liquidity across games. Cross-Sell Strategy: Build frameworks to promote relevant games and features to the right users at the right time, ensure players are aware of all games in the ecosystem and their ARPUs and lifetime values increase at an overall level. Growth Experimentation: Define and run a robust pipeline of A/B tests and growth experiments to drive user engagement and conversions across games. Qualifications & Skills Required 6-10 years of experience in growth, product or user acquisition roles preferably in consumer tech, gaming and social platforms. Proven track record of driving measurable growth through in-app strategies and user behaviour optimisation. Strong understanding of growth funnels, user segmentation, and retention strategies. Experience working with data platforms, product analytics tools (e.g., MMP platforms, CX platforms), and A/B testing frameworks. Ability to balance high-level strategy with hands-on execution. Exceptional communication and stakeholder management skills. Passion for gaming and a user-first mindset. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee

Job Title: Senior Data Scientist Location: Bangalore Experience: 8 - 12 Years Job Summary We are seeking a highly skilled and experienced Senior Data Scientist to join our team in Bangalore. The ideal candidate will have a deep understanding of Machine Learning (ML) and Artificial Intelligence (AI), with a strong focus on Azure Fabric within the banking and finance domain. In this role, you will develop and implement advanced data-driven solutions that enhance decision-making, optimise processes, and contribute to the success of our client s financial objectives. Mandatory Skills Proven experience in traditional Machine Learning (ML) and Artificial Intelligence (AI). Strong experience in Azure Fabric and its integration with various banking systems. Expertise in Data Science methodologies, predictive modelling, and statistical analysis. Solid understanding of the Finance domain with a focus on banking processes and challenges. Hands-on experience with big data technologies and cloud platforms (Azure, AWS). Proficiency in Python-related data science libraries (e.g., Pandas, NumPy, Scikit-learn). Experience in data processing, ETL pipelines, and data engineering. Familiarity with SQL and NoSQL databases. Key Responsibilities Design and implement Machine Learning (ML) and Artificial Intelligence (AI) models to solve complex business problems in the finance sector. Work closely with business stakeholders to understand requirements and translate them into data-driven solutions. Develop and deploy ML models on Azure Fabric, ensuring their scalability and efficiency. Analyze large datasets to identify trends, patterns, and insights to support decision-making. Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and banking systems. Maintain and optimise deployed models and ensure their continuous performance. Keep up to date with industry trends, technologies, and best practices in AI and ML, specifically within the finance industry. Qualifications Education: Bachelor s/Master s degree in Computer Science, Data Science, Engineering, or related field. Certifications: Relevant certifications in Data Science, Azure AI, or Machine Learning is a plus. Technical Skills Expertise in Machine Learning (ML) algorithms (Supervised and Unsupervised). Strong experience with Azure Fabric and related Azure cloud services. Proficient in Python, R, and data science libraries (Pandas, Scikit-learn, TensorFlow). Experience in AI and Deep Learning models, including neural networks. Working knowledge of big data technologies such as Spark, Hadoop, and Databricks. Experience with version control systems (Git, GitHub, etc.). Soft Skills Excellent problem-solving and analytical skills. Strong communication skills, with the ability to present complex data insights clearly to non-technical stakeholders. Ability to work effectively in a collaborative, cross-functional environment. Strong attention to detail and ability to manage multiple tasks simultaneously. A passion for continuous learning and staying updated on new technologies. Experience in the banking or financial services industry. Familiarity with DevOps practices for ML/AI model deployment. Knowledge of cloud-native architecture and containerization (Docker, Kubernetes). Familiarity with Deep Learning and Natural Language Processing (NLP) techniques. 8-12 years of experience in Data Science, with hands-on experience in ML, AI, and working within the finance or banking industry. Proven track record of designing and deploying machine learning models and working with Azure Fabric. Experience with client-facing roles and delivering solutions that impact business decision-making. Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Retirement savings plans and tax savings plans. Work-Life Balance: Flexible work hours Timely and effective delivery of ML/AI models that solve complex business problems. Continuous improvement and optimisation of deployed models. High-quality insights and data-driven solutions delivered for business stakeholders. Client satisfaction with AI/ML solutions implemented within the banking domain. Number of successful ML/AI models deployed and their performance post-deployment. Model accuracy and predictive capability (based on business goals). Client feedback on AI-driven solutions. Completion time for delivering actionable data-driven insights. Team collaboration and mentoring effectiveness with junior data scientists. Click here to upload your CV / Resume We accept PDF, DOC, DOCX, JPG and PNG files Verification code successfully sent to registered email Invalid Verification Code! Thanks for the verification! Our support team will contact you shortly!.

Data Engineer I (F Band) About the Role: As a Data Engineer, you will be responsible for implementing data pipelines and analytics solutions to support key decision-making processes in our Life & Health Reinsurance business. You will become part of a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re. You will be expected to gain a full understanding of the reinsurance data and business logic required to deliver analytics solutions. Key responsibilities include: Work closely with Product Owners and Engineering Leads to understand requirements and evaluate the implementation effort. Develop and maintain scalable data transformation pipelines Implement analytics models and visualizations to provide actionable data insights Collaborate within a global development team to design and deliver solutions. About the Team: Life & Health Data & Analytics Engineering is a key tech partner for our Life & Health Reinsurance division, supporting in the transformation of the data landscape and the creation of innovative analytical products and capabilities. A large globally distributed team working in an agile development landscape, we deliver solutions to make better use of our reinsurance data and enhance our ability to make data-driven decisions across the business value chain. About You: Are you eager to disrupt the industry with us and make an impactDo you wish to have your talent recognized and rewardedThen join our growing team and become part of the next wave of data innovation. Key qualifications include: Bachelors degree level or equivalent in Computer Science, Data Science or similar discipline At least 1-3 years of experience working with large scale software systems Proficient in Python/PySpark Proficient in SQL (Spark SQL preferred) Palantir Foundry experience is a strong plus. Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred) Experience with JavaScript/HTML/CSS a plus Experience working in a Cloud environment such as AWS or Azure is a plus Strong analytical and problem-solving skills Enthusiasm to work in a global and multicultural environment of internal and external professionals Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments About Swiss Re If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134086