3017 Data Science Jobs - Page 34

Company Description Wise is a global technology company, building the best way to move and manage the worlds money, Min fees Max ease Full speed, Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money, As part of our team, you will be helping us create an entirely new network for the world's money, For everyone, everywhere, Job Description More about our mission and what we offer, Salary Range: INR 3,406,000 3,926,000 Per Annum + RSU's Your mission will be to deeply understand the needs of Indian customers and help your team to focus on solving their most critical problems, The focus of this team is to ensure that customers in India use Wise in the most seamless, cost-effective, convenient, and fast way The goal for you, in this role will be to focus on and impact parts of our product that will help us scale 10x as we enable core functionality for global money transfers You will also help create a roadmap for Wises expansion in India, and bring more of Wises features to the country, How Youll Contribute Provide data drive insight to inform product decisions, from improving our onboarding flow to reduce friction using one product, Partner with Product Managers and other Analysts to set KPIs for the India team and monitor new product features impact on conversion, stickiness and engagement, Understand customers and the impact of our product on their lives, Build conviction on high-value areas and challenge them if there are faster or more effective ways to grow the market, Develop and execute a strategic roadmap for Wises expansion in India, introducing more of Wises innovative features to the market, Inspire a team environment where ideas are shared and openness is valued, Make contributions to the wider product goals of the company to achieve our Mission: Money without borders, Work cross-functionally with global teams to ensure alignment and integration of regional initiatives with Wises overall strategy, This Role Will Give You The Opportunity To Choose your path to impact we believe people are most empowered when they can act autonomously So rather than telling you what to do, youll work with your team to create a vision of your own Of course, you can always gather feedback from smart, curious people across Wise but youll have the freedom to make your own calls Grow as a Product Analyst Grow and inspire your team and others across Wise Get amazing exposure to the full breadth and depth of our product while working with a group of multi disciplinary teams of amazing, smart and dedicated product analysts, engineers, product managers, researchers, designers and many more The freedom to have real impact The opportunities youll identify are key to Wise reaching future millions of customers and redefining how payments work internationally at scale Qualifications Ideal candidate would have: At least 7 years of experience Strong analytical mind and product intuition, centered around the Indian banking and financial industry, Technical skill-set in Python, advanced SQL, BI tools Experience working with technical teams (PMs, engineers, designers, analysts) Relevant experience in a data driven and complex environment with limited guidance Understanding of events data Mixpanel / Google Analytics / Amplitude or similar Excellent data visualisation and presentation skills Hustler-mentality You can take work beyond the analysis and get things done, Good To Have Knowledge of the fintech ecosystem in India Knowledge of regulations and competitive landscape Knowledge of utilities like Airflow/Github/DBT Experience on funnel optimization Experience in Data Science and Machine Learning Interest in learning new tools Additional Information For everyone, everywhere We're people building money without borders ? without judgement or prejudice, too We believe teams are strongest when they are diverse, equitable and inclusive, We're proud to have a truly international team, and we celebrate our differences, Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers, If you want to find out more about what it's like to work at Wise visit Wise Jobs, Keep up to date with life at Wise by following us on LinkedIn and Instagram,

Job Description - You Will :Focus on ML model load testing and creation of E2E test case sEvaluate modelsscalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the model sEnhance monitoring of model scalability, and handle incident of increased error rat eCollaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional team s You Brin g:Advanced degree (Masters or Ph D ) in Computer Science/Statistics/Data Science, specializing in machine learni ng3+ years of industry experience (pls dont include years in a research group or R&D tea m)Strong programming skills in languages such as Java, Python, Sca laHands-on Experience in Databricks, mlFlow, Seld onExcellent problem-solving skills and analytical skil lsExpertise in recommendation algorith msExperience with software engineering principles, and use of cloud services like A WS Preferred Qualificatio ns:Experience in Kubeflow, Tecton, Jenk insExperience in building and monitoring large-scale online customer-facing ML applications, preferably recommendation syst emsExperience working with custom ML platforms, feature store, and monitoring ML mod elsFamiliarity with best practices in machine learning and software engineeri

About this opportunity: Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally We are seeking a highly skilled and experienced Data Engineer to join our dynamic team at Ericsson As a Data Engineer, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments, What you will do: Experience in analyzing complex problems and translate it into algorithms High customer focus with high accountability for delivering high-quality products Very strong skills in software development using Advanced Python Backend development in RestAPIs using Flask, FastAPI Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Have experience of GCP cloud Solid communication and presentation skills Furthermore, we believe you are curious, innovative, high own self-drive, and collaborative Writing queries to target Casandra, PostgreSQL database Design Principles in application development The skills you bring: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field A Master's degree or PhD is preferred, 2-5 years of experience in Python and in advanced Python preferably within the telecommunications or related industry, Strong programming skills in Python and SQL, Excellent problem-solving skills and ability to work independently as well as part of a team, Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders, Why join Ericsson At Ericsson, you?ll have an outstanding opportunity The chance to use your skills and imagination to push the boundaries of what?s possible To build solutions never seen before to some of the worlds toughest problems You?ll be challenged, but you wont be alone You?ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next, What happens once you apply Click Here to find all you need to know about what our typical hiring process looks like, Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team Ericsson is proud to be an Equal Opportunity Employer learn more, Primary country and city: India (IN) || Noida Req ID: 767973

Founded in April 2018 and headquartered in Zug, AMINA Bank is a pioneer in the financial industry providing a seamless, secure and easy-to-use bridge between digital and traditional assets As a smart bank AMINA Bank offers a fully universal suite of regulated banking services in the emerging digital economy In August 2019, AMINA Bank received a Swiss banking and securities dealer license the first time a reputed, regulatory authority such as FINMA has granted a license to a financial services provider with a core capability in digital assets The broad, vertically integrated spectrum of services combined with the highest security standards, make AMINA Banks value proposition unique CVVC Global Report and CB Insights names AMINA Bank as Top 50 Companies within the blockchain ecosystem, AMINA India is a wholly owned subsidiary of AMINA Bank AG, a FINMA licensed Swiss Bank focused on cryptocurrencies and digital assets AMINA provides custody, trading, credit and investment products on cryptocurrencies and digital assets to institutional and professional investors AMINA Bank is Headquartered in Zug, with presence in Mumbai, Abu Dhabi, Hong Kong and Singapore, AMINA India acts as a virtual extension of the bank supporting activities spanning digital assets research, investment solutions, trading & liquidity management, risk management and more recently mid/back-office and IT operations, We are seeking a highly motivated and detail-oriented Junior eTrading Engineer to join our dynamic eTrading team within the Trading & Treasury department In this role, you will report directly to the Head of eTrading and will be responsible for supporting the team in various trading activities, data analysis, and system management, In the eTrading team, you will be responsible for the following: Work on bank strategic projects within trading This involves analyst, project management, and testing tasks, Support the trading desk with daily run-the-bank tasks This includes client setups for pricing and trading, reporting tasks and ad hoc trade analysis, Development of the eTrading platform for the Spot and Derivatives desks This includes management of exchange connectivity and client eTrading tools, optimizing pricing/auto-hedging setups, and performing data analysis, Programming of algorithmic models for pricing and execution, For you to become part of AMINAs journey, we require the following set of experience: A finished master or completed bachelor certification in Engineering or in Banking & Finance Interest in trading, and technology Experience in markets like FX, Equities or Crypto is a plus Ideally 1-2 yearswork experience, graduates will also be considered, Programming skills in an object-oriented language like Java or Python is a must have Knowledge in Data science is a plus, Strong analytical and problem-solving skills, ability to think quickly and offer alternative solutions with great attention to details An independent, organized, goal-oriented, motivated self-starter who can work well in a creative and enthusiastic business environment Understanding of crypto/blockchain technology and processes is a plus Business fluent English is mandatory Join our skilled team and together redefine finance! We owe our exponential growth to our innovative and collaborate team spirit and talented workforce Every voice counts as we are always committed to learning from diverse perspectives and backgrounds because our people make the difference at AMINA Bank Regardless of your age, gender, belief, and background, at AMINA EVERYONE (E) is welcome!

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree, Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines, Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance, Experience in identifying opportunities for business/product improvement and defining the initiatives, Experience in developing new models, methods, analysis and approaches, About The Job Help serve Google's worldwide user base of more than a billion people Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions You will weave stories with meaningful insight from data You'll make critical recommendations for your fellow Googlers in Engineering and Product Management You relish tallying up the numbers one minute and communicating your findings to a team leader the next, Responsibilities Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences, Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team, Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information, Follow engineering best practice to create data pipelines and models, Develop and automate reports, build and prototype dashboards to provide insights for problem-solving needs, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,

We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field Strong experience in R programming and package development Proficiency with GitHub and unit testing frameworks. Strong documentation and communication skills. A background or work experience in biostatistics or a similar discipline (Preferred). Expert knowledge in Survival Analysis (Preferred) Statistical model deployment, and end-to-end MLOps is nice to have. Having worked extensively on cloud infrastructure, preferably Databricks and Azure. Shiny development is nice to have. Can work with customer stakeholders to understand business processes and workflows and can design solutions to optimize processes via streamlining and automation. DevOps experience and familiarity with software release process. Familiar with agile delivery methods. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key responsibilities include: Evaluate and document R packages, including metadata and user-focused use cases. Develop unit tests aligned with best practices in R package development. Collaborate closely with internal stakeholders. Design and implement technical solutions for Survival Analysis, based on statistical and business requirements Develop professional quality R packages. Provide consultancy on Biostats model development and deployment best practices. Review and optimize code, integrate existing modelling code into packages. Design and implement end to end modelling and deployment process on Databricks. Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution. Continually innovate with the team and the customer on using modern tooling to improve model development and deployment. Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to migrate scripts from Matlab to Python. Also, work on re-creation data visualizations using Tableau/PowerBI. Desired Skills and Experience Essential skills 4-6 years of experience with data analytics Skilled in Python, PySpark, and MATLAB Working knowledge of Snowflake and SQL Hands-on experience to generate dashboards using Tableau/Power BI Experience working with financial and/or alternative data products Excellent analytical and strong problem-solving skills Working knowledge of data science concepts, regression, statistics and the associated python libraries Interest in quantitative equity investing and data analysis Familiarity with version control systems such as GIT Education: B.E./B.Tech in Computer Science or related field Key Responsibilities Re-write and enhance the existing analytics process and code from Matlab to Python Build a GUI to allow users to provide parameters for generating these reports Store the data in Snowflake tables and write queries using PySpark to extract, manipulate, and upload data as needed Re-create the existing dashboards in Tableau and Power BI Collaborate with the firms research and IT team to ensure data quality and security Engage with technical and non-technical clients as SME on data asset offerings Key Metrics Python, SQL, MATLAB, Snowflake, Pandas/PySpark Tableau, PowerBI, Data Science Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Building models using best inclass ML technology. Training/fine tuning modelswith new/modified training dataset. Selecting features, buildingand optimizing classifiers using machine learning techniques Data mining usingstate-of-the-art methods Processing, cleansing, andverifying the integrity of data used for analysis Enhancing data collectionprocedures to include information that is relevant for building analyticsystems Technical skills Mandatory 3 to 8 years of experience as MachineLearning Researcher or Data Scientist Graduate in Engineering,Technology along with good business skills Good applied statistics skills,such as distributions, statistical testing, regression, etc. Excellent understanding ofmachine learning techniques and algorithms including knowledge about LLM Experience with NLP. Good scripting and programmingskills in Python Basic understanding of NoSQLdatabases, such as MongoDB, Cassandra Nice to have Exposure to financial researchdomain Experience with JIRA,Confluence Understanding of scrum andAgile methodologies Experience with datavisualization tools, such as Grafana, GGplot, etc. Soft skills Oral and written communicationskills Good problem solving andnegotiation skills Passion, curiosity andattention to detail

The Lead MLOps Engineer will be responsible for leading technology initiatives aimed at improving business value and outcomes in the areas of digital marketing and commercial analytics through the adoption of Artificial Intelligence (AI) enabled solutions. Working with cross-functional teams across AI projects to operationalize data science models to deployed scalable solutions delivering business value. They should be inquisitive and bring an innovate mindset to work every day, researching, proposing, and implementing MLOps process improvements, solution ideas and ways of working to be more agile, lean and productive. Provide leadership and technical expertise in operationalizing machine learning models, bridging the gap between data science and IT operations. Key responsibilities include designing, implementing, and optimizing MLOps infrastructure, building CI/CD pipelines for ML models, and ensuring the security and scalability of ML systems. Key Responsibilities Architect Deploy: Design and manage scalable ML infrastructure on Azure (AKS), leveraging Infrastructure as Code principles. Automate Accelerate: Build and optimize CI/CD pipelines with GitHub Actions for seamless software, data, and model delivery. Engineer Performance: Develop efficient and reliable data pipelines using Python and distributed computing frameworks. Ensure Reliability: Implement solutions for deploying and maintaining ML models in production. Collaborate Innovate: Partner with data scientists and engineers to continuously enhance existing MLOps capabilities. Key Competencies Experience: A minimum of 5+ years of experience in software engineering, data science, or a related field with experience in MLOps is typically required. Education: A bachelor's or master's degree in Computer Science / Engineering. Soft Skills: Strong analytical and problem-solving skills, excellent communication and collaboration skills, and the ability to work in a fast-paced environment are highly valued. Azure AKS: Deep hands-on experience. IaC CI/CD: Mastery of Terraform/Bicep GitHub Actions. Data Engineering: Advanced Python Spark for complex pipelines. ML Operations: Proven ability in model serving monitoring. Problem Solver: Adept at navigating complex technical challenges and delivering solutions.

Job Purpose We are seeking a Data Operations Engineer to improve the reliability and performance of data pipeline. Successful candidates will work with researchers, data strategists, operations and engineering teams to establish the smooth functioning of the pipeline sourced from an enormous and continuously updating catalog of vendor and market data. Essential Skills and Experience B.Tech/ M.Tech/ MCA with 1-3 years of overall experience Proficient with Python programming language like as well as common query languages like SQL Experience with the Unix platform and toolset such as bash, git, and regex. Excellent English communication: Oral and Writing Experience in the financial services industry or data science is a plus Critical thinking to dive into complex issues, identify root causes, and suggest or implement solutions A positive team focused attitude and work ethic Key Responsibilities Support the daily operation and monitoring of the pipeline Triage issues in timely manner, monitor real time alerts while also servicing research driven workflows Improve the reliability and operability of pipeline components Solve both business and technical problems around data structure, quality, and availability Interact with external vendors on behalf of internal clients. Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards Key Metrics Core Python, Linux Good to have Perl or C++ PromQL Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Job Description Are you interested in joining a dynamic global team that has a great impact on the Collins' organization? If so, then this is the job for you! The Global Technical Solutions (GTS) organization brings employees together across Collins that work on Electronic Computer-Aided Design (ECAD), Mechanical Computer-Aided Design (MCAD), Technical Documentation and Technical Excellence. As a Data Scientist specializing in process improvements for Mechanical Computer-Aided Design (MCAD), Electrical Computer-Aided Design (ECAD), and Technical Publications, you will be integral to enhancing the efficiency, accuracy, and consistency of design and documentation processes within GTS. Leveraging data analytics and automation, youll develop data-driven solutions to streamline workflows, reduce errors, and improve quality across mechanical and electrical design outputs as well as technical publications. Collaborating closely with MCAD and ECAD design teams, technical authors, and cross-functional stakeholders, youll contribute to advanced process optimization and best practices for aerospace engineering documentation. What YOU will do: Develop strategy on data in collaboration with senior leadership team, technology team and Tools leader by implementing innovative data technology to solve difficult business problems. Build and maintain data pipelines to collect, process, and store large volumes of data. Develop ETL/ELT pipelines to move and transform data. Ensure data systems are scalable, fast, and reliable. Work with big data tools like Data Lakes, Apache Spark, Kafka, and cloud platforms. Designing, creating and maintaining dashboards, reports, and other data visualizations for various departments within an organization by developing and implementing data visualization standards and guidelines, and providing technical support and training to other team members on data visualization tools and techniques by staying on top of latest data visualization trends and techniques. Data Analysis & Process Insights for Portfolio of programs: Collect, clean, and analyze data from MCAD and ECAD systems, technical documentations, finance, HR and related tools. Identify inefficiencies, error trends, and bottlenecks across the design-to-documentation lifecycle to drive improvements in process quality and speed. Workflow Optimization for Cross-Disciplinary Design & Documentation: Identify improvement opportunities within product areas of MCAD, ECAD, Technical Documentation and Technical Excellence processes. Develop and implement data-driven solutions to reduce manual steps, improve cross-functional integration, and enhance document consistency and accuracy. Dashboarding & Visualization for Process Monitoring: Build and maintain dashboards to provide real-time monitoring of key metrics for MCAD, ECAD, Technical Documentation and Technical Excellence processes. Enable data-driven insights into process performance, workload management, and error trends for continuous improvement Cross-Functional Collaboration: Work closely with MCAD, ECAD, and technical documentation teams to understand their challenges and requirements. Serve as a data-driven consultant to technical authors, design engineers, and quality teams, ensuring the integration of analytics solutions aligns with the needs of each function. Documentation & Reporting: Document analytical methods, model specifications, and process improvements. Provide regular impact reports and key insights for continuous process optimization across MCAD, ECAD, and technical publications. Process Improvement: Identify and implement improvements using CORE events and engagements. Travel up to 10% of the time per business needs. Qualifications You Must Have: BE/B.Tech or MS/M.Tech or Phd with 8 to 13 Years of experience. 8+ years of experience in data engineering, data science, process improvement, or analytics, preferably within aerospace or a similar industry with a focus on design and documentation 8+ years experience in programming languages and relevant experience developing front end and backend tools (eg, Python, R, SQL, Cloud Platforms, PowerApps, PowerBI, Tableau, etc.) for data engineering, analysis and visualization. 8+ years’ experience creating data visualizations to articulate messaging to executive leadership using tools such as Power BI, Tableau, Alteryx etc. Qualifications We Prefer: Bachelor’s or master’s degree in data science, Engineering, Computer Science, Business or a related field, with a focus on design processes, technical documentation, or process optimization Employee in Global Technical Solutions, effective January 2025 Awareness of MCAD and ECAD tools (e.g., CATIA, SolidWorks, Altium, or Siemens EDA) Ability to explain data-driven insights to both technical and non-technical audiences Ability to collaborate effectively in cross-functional teams and drive alignment across disciplines What We Offer: Some of our competitive benefits package includes: Transportation facility. Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar program Work life balance Car lease program National Pension Scheme LTA Fuel & Maintenance /Driver wages And more! Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that’s redefining aerospace, every day

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

vConstruct , a Pune based Construction Technology company seeks a Project Manager for their AI/ML team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Project Planning & Execution Define and manage AI/ML project scope, timelines, deliverables, and risk profiles. Build detailed project roadmaps with clear milestones and sprint plans. Oversee the complete AI lifecycle from use-case discovery to model deployment. Cross-Functional Collaboration Act as the strategic link between data scientists, ML engineers, ML Ops, domain SMEs, and Initiative Leads. Facilitate agile ceremonies including sprint planning, retrospectives, and stakeholder reviews using GitHub or Azure DevOps. Risk & Dependency Management Anticipate and mitigate risks around data readiness, infrastructure, and cross-team dependencies. Manage change control, escalations, and course corrections proactively. Governance & Documentation Maintain complete project documentation including use case briefs, dashboards, decision logs, and ROI reports. Ensure compliance with internal standards, policies, and AI governance frameworks. Qualification: Bachelors or Masters in engineering, Data Science, Computer Science, or related field. Certifications in PMP, PMI-ACP, or Agile/Scrum methodologies. Relevant PM Degrees in case any. Familiarity with cloud-based AI platforms (Azure ML, AWS Sagemaker, etc.) 8-10 years of professional experience with atleast 4 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Understanding of Python & SQL will be good to have. Proficiency in ML, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, wed like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the companys ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 3+ years of experience solving analytical problems using quantitative approaches Experience communicating quantitative analysis results Knowledge with relational databases and SQL Development experience in any scripting language (PHP, Python, Perl, etc.) Knowledge of statistics (e.g., hypothesis testing, regressions) Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have Programming – Python (Preferred) / R ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect Classification – Bagging & Boosting (Random Forest), Decision tree, SVM Clustering – K-Means, hierarchical, DB-Scan Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM Neural Networks (Deep learning), Naive Bayes Excel and SQL Dimensionality Reduction – PCA, SVD etc. Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – Visualization – Tableau / Power BI / Looker / QlikView Data management – HDFS, Spark, Advanced Excel Agile Tools – Azure DevOps, JIRA Pyspark Big Data/Hive Database IDE: Pycharm

Product Managers at SpotDraft strive to build a highly reliable, fast, secure, and scalable platform. The product team conceptualizes strategy and features that would evangelize it and provides a roadmap for creating thorough, user-centric solutions. The team comprises visionaries, risk-takers, and go-getters who are adept at analyzing fast and analyzing right, identifying and keeping all the variables in consideration. Key Responsibilities: Working closely with the Backend Engineering & Front-end Engineering, Legal Tech, Design, and Customer Success teams to deliver world-class customer-obsessed products and features Be the voice of the customer. Develop a deep understanding of our customers and build the best product user experiences on their behalf. Get onto meetings with the customers to understand their needs and solve their pain points Create knowledge base and training videos to help customers get more value from SpotDraft Set up nudges and tooltips to train and drive product-led adoption Create detailed product requirement documents and user stories with an ability to imagine the user journeys - happy paths, unhappy paths, and edge cases Empathize with dozens of personas and use cases, and think user-first. Have a data-oriented approach and an eye for numbers, insights, and metrics. Ability to think creatively, deal with ambiguity, and manage fast-paced environments and changing priorities. And most essentially, a founder's mindset: is to own initiatives & deliver results. Requirements: 3-5 years of relevant product management experience in a product company Has shipped high impact products consistently, ideally for a SaaS product High energy and high ownership individual with a keen interest in building 0 to 1 systems that have large-scale real-world impact Good understanding of UX Design practices in the SaaS space Ability to think granularly and are hungry to learn and evolve in all things. Bias for action and experience making things happen in a fast-paced, dynamic environment. Strong written and verbal communication skills with a knack for articulating customer challenges clearly. Analyze and synthesize data, including writing SQL Proficient with data analytics tools like Google Analytics, Amplitude, Metabase etc., or the equivalents Working at SpotDraft When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company. An opportunity to work alongside one of the most talent-dense teams. An opportunity to build your professional network through interacting with influential and highly sought-after founders, investors, venture capitalists and market leaders. Hands-on impact and space for complete ownership of end-to-end processes. We are an outcome-driven organisation and trust each other to drive outcomes whilst being audacious with our goals. Our Core Values Our business is to delight Customers Be Transparent. Be Direct Be Audacious Outcomes over everything else Be 1% better every day Elevate each other Be passionate. Take Ownership

Main Responsibilities are: Understand, Define and Articulate the art of possible of AI/ML/MLOps solutions to Business heads. Hands-on in Designing, Development and Production roll-out of AI / ML/ MLOps solutions using data science framework and methodologies (CRISP-DM and TDSP) for complex problems. Must have thorough understanding and hands-on experience of using Statistical Modeling, Classical ML, Bigdata Analytics, Deep Neural Networks, Edge AI, MLOps, Generative AI •. Should have good understanding of functional domain with data, data pipelines, data storage, data lineage and quality data management. Data Analysis and Insights Generation - Perform exploratory data analysis (EDA) on large datasets from manufacturing processes, supply chain, and other verticals to uncover trends, anomalies, and actionable insights. Identify key performance indicators (KPIs) and metrics to monitor operational efficiency, sustainability goals, and process improvements. Write efficient, reusable, and well-documented code in Python for data processing, analysis, and automation of workflows. Leverage the AWS ecosystem (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and integration. Utilize statistical and machine learning techniques to solve business problems. Collaborate with data scientists, engineers, and plant managers to translate business needs into technical solutions. Coordinate with vendors to integrate third-party tools or datasets as required. Work on strategic innovative data science projects (Generative AI/ Video Analytics/ Prescriptive Analytics/ Diagnostic Analytics/ Bigdata Analytics/ Time series Analytics etc.) with transformative vision. Work with Business Head and CFT to understand their requirements, help them understand the Art of possible, and develop innovative AI solutions. Also provide mentorship and guidance to junior Data analysts and Data Science Interns in architecting solutions and developing them.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

Roles and Responsibility Develop and deploy scalable data pipelines using AI/ML techniques. Collaborate with cross-functional teams to identify business problems and develop solutions. Design and implement predictive models to drive business growth. Work with large datasets to extract insights and trends. Develop and maintain technical documentation of data models and algorithms. Stay updated with industry trends and advancements in AI/ML. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with AI/ML frameworks such as TensorFlow or PyTorch. Strong understanding of statistical concepts and machine learning algorithms. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Minimum 3 years of experience in a related field.

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

We are looking for a Lead Machine Learning Engineer to join the Data Science team with the athena.intelligence division. You will be responsible for the end-to-end development and deployment of machine learning models across a variety of healthcare products and domains, develop roadmaps for development and implementation of data science initiatives, and work collaboratively to influence product and engineering stakeholders. About you: You love to own important work and find it difficult to turn down a good challenge. You have a strong track record of development and evaluation of ML models, and leading projects or teams in development of ML models. You excel at building relationships and influencing at senior leadership levels and possess an eagerness to learn and disseminate new knowledge. You have strong communication skills and enjoy working with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a leader of the Data Science team, you are expected to stay abreast and evaluate the latest in data science technologies and determine how to incorporate these into our data science best practices . Integrate with and broadly support the data science team in executing developed roadmaps; identify and document project dependencies; coordinate efforts across the team to ensure completion and effectiveness Contribute to the training and development of junior staff members Develop and follow conventions and best practices for modeling, coding, architecture, and statistics; hold other team members accountable for doing so Contribute to the development of internal tools and data science team standards Work collaboratively across the Infrastructure, Platform, UX, and Product organizations to ensure alignment towards business goals Typical Qualifications: Advanced degree (PHD, MS) in relevant field. For example, but not limited to: math, computer science, computer science, data science 8+ years of professional experience designing, building, training, deploying and evaluating machine learning models in production software environments at scale Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus Experience with training & fine tuning LLMs & GenAI models is a bonus. Experience collaborating with cross functional teams or leading cross functional efforts Proficiency with python strongly preferred Have strong NLP skills or computer vision experience, AWS experience strongly preferred

Data Scientist Mumbai One of the leading Bank mail at manjeet.kaur@mounttalent.com Whatsapp at 8384077438 Roles and Responsibilities Qualifications • 2-4 years experience in Analytics and Machine Learning & Deep learning(Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)). • Good Experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries (like beautifulsoup). • Knowldge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing,etc) • Working knowledge in various DBs(MySQL, HBase, MongoDB), message queues & Web RestFul APIs. • Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPyetc. • Experience of Testing & deployment of Machine learning/deep learning projects in the desired platform. • Strong Logical & Analytical skills with good soft & communication skills Industry Preferably from a Technology, ITES, Shared Services or Banking organization Key Responsibilities • Build, Improve and extend NLP capabilities • Select the proper annotated datasets for supervised learning techniques • Use effective text representation techniques to develop useful features • Identify and utilize the correct algorithms for specific NLP projects • Develop NLP projects in accordance with prescribed requirements • Train developed NLP models and evaluated their effectiveness • Conduct statistical analyses of models, and adjust models where possible • Extend machine learning frameworks and libraries for NLP projects Certifications Certification in Google Tensor Flow, Hadoop, Python, PySpark, SQL, R is desirable Employment Type All positions are on fixed term contract on a full-time basis exclusively for ReBIT, initially for a period of five years, extendable by mutual consent Location Navi Mumba

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : (GenAI is must) Language : Python , PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python. - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : - Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : - Should be able to analyze and manipulate large data sets. - The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : - Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Job Description Key Responsibilities: 1. Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: - Bachelors or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray).

Job Title: Data Scientist Location: Bangalore, India Experience: 3+ Years Role & Responsibilities: We are looking for a highly motivated Data Scientist to join our analytics team in Bangalore. This role is ideal for individuals who possess strong machine learning and data engineering skills and are eager to solve complex problems in the financial technology space. You will work on developing predictive models, building scalable data solutions, and contributing to key decision-making processes. Design, build, and validate machine learning models including Logistic Regression, Random Forests, GBM, and Survival Models. Perform rigorous model evaluation using techniques such as K-Fold Cross Validation, Out-of-Time (OOT) validation, and X-Tab analysis. Utilize Python (via PyCharm/Jupiter), scikit-learn, PyTorch or TensorFlow for end-to-end model development. Analyse large datasets using SQL and Excel to derive actionable insights. Develop and deploy APIs to serve machine learning models in production environments. Apply statistical techniques such as mean/variance analysis, probability distributions, and simulations to drive model accuracy and relevance. (Optional) Work with lending-specific metrics such as vintage curves, roll forward tracking, and bounce rates to enhance financial models. Strong ML skills: Logistic, Random Forest, GBM, survival model, K fold test, OOT, X-Tab etc. Experience using scikit-learn, pytorch or tensor flow. Experience: 3+ Years Python and usage of PyCharm/ Jupiter, SQL, Excel. Well versed in API development - Strong mathematical ability. mean, variance, probability distributions, simulation etc. Understanding of lending metrics such as vintage curve, roll forward, bounces etc. (Good to have not mandatory) Engineering background preferred IIT/NIT plus not must. Prior experience in Lending Fintech preferred.