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software engineer, technology & data

machine learning engineer

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Gurgaon, Haryana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP.
 </li>
 <li>
 Experience programming in C, C++, Java, or Python.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or advanced degree in Computer Science or Computer Engineering, or a related field.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
 
 
 Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, conceive, and develop software applications to extend and improve on Google's product offering.
 </li>
 <li>
 Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
 </li>
 <li>
 Collaborate on scalability issues involving access to data and information.
 </li>
 <li>
 Solve challenges/problems that you are presented with.
 
 
 
 </li>
 </ul>
 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 .
</div>

Software Engineer, University Graduate, 2026

IDFC FIRST Bank

<div>
 
 Job Requirements
 
 
 
 
 Job role:
 
 Data Analyst
 
 
 
 Department:
 
 New Age &ndash; Data &amp; Analytics
 
 
 
 Purpose
 
 
 
 The position is in the Fraud &amp; Operational Analytics Team. This team is mainly responsible for creating, Machine Learning/ AI solutions for effective fraud prevention and driving operational scalability to improve customer experience, reduce operational cost, risk mitigation, etc. The role will focus on building cutting edge ML solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large amounts of data to derive business insights and create innovative solutions Understanding business nuances and associated fraud patterns.
 </li>
 <li>
 Develop advanced ML models for fraud identification.
 </li>
 <li>
 Innovate with a focus on better and newer approaches.
 </li>
 <li>
 Explore alternate data sources which can add value on top of traditional data sources.
 </li>
 <li>
 The role requires exhibiting a high level of expertise in data strategy and model training pipelines.
 </li>
 <li>
 S/He will drive insights in generating data driven actionable strategies.
 </li>
 <li>
 Supporting the business and risk teams with bespoke and strategic analysis
 
 
 </li>
 </ul>
 
 Functional And Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency and experience in econometric, statistical and machine learning techniques.
 </li>
 <li>
 Proficiency in Python, SQL, Pandas, Numpy, Sklearn, TensorFlow/PyTorch etc
 </li>
 <li>
 Strong understanding of statistical concepts and modelling techniques for regression,
 </li>
 <li>
 classification and anomaly detection.
 </li>
 <li>
 Good understanding of evaluation metrics
 </li>
 <li>
 Logical thought process, ability to scope out an open-ended problem into data driven solution.
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
 
 
 Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)
</div>

Data Scientist

Tech Consulting

<div>
 
 About the Role:
 
 
 We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent.
 
 
 ________________________________________
 
 
 Key Responsibilities:
 
 
 &bull; Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques.
 
 
 &bull; Train, mentor, and support junior data science engineers in coding, model development, and best practices.
 
 
 &bull; Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications.
 
 
 &bull; Translate complex business problems into actionable data science projects and deliver measurable results.
 
 
 &bull; Design and lead internal workshops, code reviews, and learning sessions to upskill the team.
 
 
 &bull; Collaborate with engineering and product teams to deploy models and insights into production environments.
 
 
 &bull; Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable.
 
 
 ________________________________________
 
 
 Desired Skills &amp; Qualifications:
 
 
 &bull; Experience: 6+ years in Data Science/Machine Learning with at least 1&ndash;2 years of team mentoring or leadership experience.
 
 
 &bull; Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.
 
 
 ________________________________________
 
 
 Technical Expertise Required:
 
 
 &bull; Strong proficiency in Python and SQL; R is a plus.
 
 
 &bull; Solid hands-on experience with Deep Learning and Neural Networks, particularly in Natural Language Processing (NLP), Generative AI, and Computer Vision.
 
 
 &bull; Familiarity with frameworks and libraries such as TensorFlow, Keras, PyTorch, OpenCV, SpaCy, NLTK, BERT, ELMo, etc.
 
 
 &bull; Experience developing Chatbots, OCR, and Face Recognition systems is preferred.
 
 
 &bull; Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
 
 
 &bull; Experience applying statistical and data mining techniques such as GLM, regression, clustering, random forests, boosting, decision trees, etc.
 
 
 &bull; Strong understanding of model validation, performance tuning, and deployment strategies.
 
 
 ________________________________________
 
 
 
 
 
 Soft Skills:
 
 
 &bull; Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences.
 
 
 &bull; Demonstrated ability to mentor, train, and lead junior team members effectively.
 
 
 &bull; Strong analytical and problem-solving mindset with a detail-oriented approach.
 
 
 ________________________________________
 
 
 What We Offer:
 
 
 &bull; Competitive salary and benefits
 
 
 &bull; A collaborative and intellectually stimulating environment
 
 
 &bull; Career growth and leadership development opportunities within a fast-paced team
 
</div>

Kotak Mutual Fund

<div>
 
 
 Location:
 
 Kotak Mutual Fund
 
 
 
 Department:
 
 Data Science &amp; Analytics
 
 
 
 Reports To:
 
 Lead- Analytics
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for a forward-thinking and impact-driven
 
 Senior Data Scientist
 
 to lead the development of advanced analytics solutions that directly enhance the
 
 productivity and profitability
 
 of our
 
 Digital Business, Marketing, and Operations
 
 functions using data science and analytics.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 AI/ML Development:
 
 </li>
 <li>
 Design, develop, and deploy machine learning models including LLMs, predictive analytics, and fault detection systems using Python, Scikit-learn, XGBoost, and other frameworks. Also, manage the GenAI solutions using LLMs, LangChain for operational and business efficiency.
 </li>
 <li>
 
 Data Integration &amp; Visualization:
 
 </li>
 <li>
 Build and maintain interactive dashboards using Power BI, integrating data from SQL and AWS.
 </li>
 <li>
 
 Project Management:
 
 </li>
 <li>
 Lead cross-functional projects, manage timelines, and ensure successful delivery of analytics solutions. Experience with tools like JIRA and Bitbucket is a plus.
 </li>
 <li>
 
 Business Impact:
 
 </li>
 <li>
 Collaborate with stakeholders to identify opportunities, define KPIs, and deliver data-driven insights that enhance decision-making and operational efficiency.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer/data science or related field (Master&rsquo;s preferred).
 </li>
 <li>
 3+ years of experience in data science, machine learning, and analytics.
 </li>
 <li>
 Strong programming skills in Python, Pyspark, SQL, and AWS analytics services.
 </li>
 <li>
 Experience with LLMs, LangChain is a plus
 </li>
 <li>
 Proficiency in Power BI, Power Platform, and automation tools.
 </li>
 </ul>
</div>

Senior Data Scientist

BNP Paribas

<div>
 
 About BNP Paribas Group
 
 
 
 
 BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees
 
 . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking &amp; Services) and Corporate &amp; Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate &amp; Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region.
 
 
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About Business Line/Function
 
 
 
 GM Data &amp; AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai.
 
 
 
 Job Title
 
 
 
 Data Scientist (Quant Research)
 
 
 
 Date
 
 
 
 Department:
 
 
 Front Office Support
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 Global Markets &ndash; Data &amp; AI Lab
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 (Functional)
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation.
 
 
 As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects.
 
 
 At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research &amp; industry to drive innovation and to make a real impact on our businesses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain AI models on time series &amp; financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring.
 </li>
 <li>
 Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
 </li>
 <li>
 Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality.
 </li>
 <li>
 Documenting each step of the development and informing decision makers by presenting them options and results.
 </li>
 <li>
 Ensure the integrity and security of data.
 </li>
 <li>
 Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics)
 </li>
 <li>
 Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
 </li>
 <li>
 Knowledge of Monte Carlo Simulations, Bayesian modelling &amp; Causal Inference.
 </li>
 <li>
 Experience with Machine Learning &amp; Deep Learning concepts including data representations, neural network architectures, custom loss functions.
 </li>
 <li>
 Proven track record of building AI models on time-series &amp; financial data.
 </li>
 <li>
 Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels).
 </li>
 <li>
 Ability to write clear and concise code in python.
 </li>
 <li>
 Intellectually curious and willing to learn challenging concepts daily.
 
 
 </li>
 </ul>
 
 Skills Referential
 
 
 
 Behavioural Skills:
 
 
 Ability to collaborate / Teamwork
 
 
 Critical thinking
 
 
 Communication skills - oral &amp; written
 
 
 Attention to detail / rigor
 
 
 
 Transversal Skills
 
 
 
 Analytical Ability
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent
 
 
 Experience Level
 
 
 At least 2 years
</div>

Data Scientist (Quant Research) - GM Data & AI Lab

Cipla

<div>
 
 
 PURPOSE OF THE ROLE
 
 
 
 To lead the development and implementation of data-driven strategies to enhance procurement, planning, third-party manufacturing, and distribution processes. This role aims to leverage advanced analytics and Artificial Intelligence / Machine Learning to optimize operations, drive efficiencies, and support Cipla&rsquo;s commitment to delivering high-quality healthcare solutions.
 
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 
 
 
 
 Data Strategy Development for Procurement and Planning and Distribution
 
 
 <ul>
 <li>
 Develop and execute a comprehensive Supply Chain data science and AI strategy to optimize supply chain operations that aligns with procurement and planning and distribution objectives, focusing on service levels and cost to serve models
 </li>
 <li>
 Identify and integrate key data sources (internal and external) to enhance visibility and accuracy in procurement decisions and planning &amp; distribution processes.
 </li>
 <li>
 Evaluate and implement emerging technologies and tools (e.g., GenAI, IoT, digital twins) that enhance data collection, analysis, and visualization capabilities.
 </li>
 <li>
 Collaborate with procurement and planning and distribution teams to prioritize data science initiatives that drive operational efficiencies and cost savings.
 </li>
 </ul>
 
 
 
 
 
 Advanced Analytics and Modeling for Supply Chain Optimization
 
 
 <ul>
 <li>
 Lead the initiative to deploy scientific (based on secondary stock and sales data) replenishment strategies in Trade (India and Global markets)
 </li>
 <li>
 Design and implement predictive AI/ML models to enhance demand forecasting accuracy, optimize inventory levels, distribution planning and improve supplier performance evaluation.
 </li>
 <li>
 Drive innovation by exploring and implementing advanced analytics techniques, machine learning models, and AI algorithms to derive insights and create value from large, complex datasets.
 </li>
 <li>
 Utilize machine learning algorithms to analyze historical data and identify trends that inform procurement strategies and planning cycles.
 </li>
 <li>
 Develop advanced analytics solutions to assess the performance of third-party manufacturers and optimize distribution logistics.
 </li>
 </ul>
 
 
 
 
 
 Collaboration and Stakeholder Engagement Across Functions
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including procurement, supply chain, planning, and IT, to identify data needs and ensure alignment on data initiatives.
 </li>
 <li>
 Support initiatives like Control Towers, Predictive Analytics, and Agentic Process Automation (APA) in alignment with GSCM&rsquo;s roadmap.
 </li>
 <li>
 Facilitate workshops and training sessions to educate stakeholders on data science methodologies and the value of data-driven decision-making in procurement and supply chain operations.
 </li>
 <li>
 Act as a liaison between data science team and business units to ensure that data solutions meet operational requirements and enhance overall performance.
 </li>
 <li>
 Communicate findings, recommendations, and project updates to senior management and key stakeholders as and when required.
 </li>
 </ul>
 
 
 
 
 
 Master Data Governance and Quality Assurance
 
 
 <ul>
 <li>
 Develop and implement master data governance frameworks to ensure data integrity, quality, and security across all data science initiatives related to procurement, planning, and distribution.
 </li>
 <li>
 Design and oversee data quality checks and validation processes to maintain high standards of data accuracy and reliability in analytics outputs.
 </li>
 <li>
 Ensure that all data science and AI initiatives comply with industry regulations, data privacy laws, and internal policies to safeguard sensitive procurement and supply chain information.
 </li>
 <li>
 Develop strategies to protect sensitive data and ensure compliance with data protection regulations, including monitoring and responding to potential data breaches.
 </li>
 <li>
 Ensure robust documentation, model governance, and audit-readiness of all analytics solutions.
 </li>
 </ul>
 
 
 
 
 
 Team Leadership and Development in Data Science
 
 
 <ul>
 <li>
 Lead and mentor a team of data scientists and analysts, machine learning engineers and AI experts fostering a culture of innovation, collaboration, and continuous learning focused on procurement and supply chain challenges.
 </li>
 <li>
 Set clear performance expectations and provide regular feedback to team members to support their professional development in data science applications.
 </li>
 <li>
 Encourage knowledge sharing and best practices within the team to enhance overall capabilities and effectiveness in addressing procurement and supply chain needs.
 </li>
 <li>
 Work closely with the SCM Academy to build data literacy and analytics capability across the function.
 </li>
 </ul>
 
 Represent the function in external forums, awards, and academic collaborations.
 
 
 
 
 
 
 Performance Measurement and Reporting for Continuous Improvement
 
 
 <ul>
 <li>
 Develop key performance indicators (KPIs) to measure the impact of data science initiatives on procurement, planning, third-party manufacturing, and distribution performance.
 </li>
 <li>
 Regularly report on the progress of analytical projects and their outcomes to senior leadership and stakeholders, highlighting successes and areas for improvement.
 </li>
 <li>
 Conduct post-implementation reviews to assess the effectiveness of data-driven solutions and identify opportunities for further optimization in supply chain processes.
 </li>
 </ul>
 
 
 
 
 
 Stake holder Management
 
 
 <ul>
 <li>
 Internal - Global Head of Digital Transformation and Operational Excellence, Procurement Team, Supply Chain Management Team, Planning Team, Finance Team, IT and Data Engineering Teams, Cipla Leadership Group
 </li>
 <li>
 External - Third-party manufacturers and suppliers, Stockists, Logistics service providers, Data analytics vendors and consultants, Regulatory bodies
 </li>
 </ul>
 
 
 
 
 
 ROLE PROFILE REQUIREMENTS
 
 
 
 
 Education
 
 
 
 Master&rsquo;s degree or PhD in Data Science, Statistics, Engineering, Computer Science, or a related field
 
 
 
 Experience
 
 
 
 12-15 years of experience in data science, analytics, or related fields, with a focus on procurement, planning, third-party manufacturing, or distribution and proven experience in leading digital transformation and AI/ML deployment at scale in the pharmaceutical or healthcare industry.
 
 
 
 
 
 
 Functional / Behavioral Skills required to execute the role
 
 
 
 TECHNICAL / FUNCTIONAL COMPETENCIES
 
 
 
 
 <ul>
 <li>
 Proficiency in data science tools, data warehouses and programming languages (e.g., Python, R, SQL, Agentic AI (MCP), AWS, Azure etc.).
 </li>
 <li>
 Experience with machine learning algorithms, statistical modeling, and data visualization tools (e.g., Tableau, Power BI, Gen AI).
 </li>
 </ul>
 
 
 
 
 BEHAVIORAL COMPETENCIES
 
 <ul>
 <li>
 Strong understanding of supply chain processes, procurement strategies, and planning methodologies.
 </li>
 <li>
 Excellent leadership and team management skills.
 </li>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Effective communication and interpersonal skills, with the ability to influence stakeholders at all levels.
 </li>
 <li>
 Strategic thinking and a results-oriented mindset.
 </li>
 </ul>
 
 
</div>

Lead – Supply Chain Digital transformation & Analytics

Experian

<div>
 
 Company Description
 
 
 
 Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish &ndash; and we're not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Delivering high quality analytical and value-added services for clients while adhering to timelines
 </li>
 <li>
 Build next in class risk Models for our Clients leveraging bureau and alternate data
 </li>
 <li>
 Provide subject matter expertise on acquisition and limit assignment strategies
 </li>
 <li>
 You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
 </li>
 <li>
 You will have the opportunity to use analysis and customer insights to develop value propositions for customers
 </li>
 <li>
 Manage the delivery of multiple, complex analytics projects
 </li>
 <li>
 Flexible and expertise to perform hands-on modelling work
 </li>
 <li>
 Motivate project team to ensure quality deliverables and achieve milestones
 </li>
 <li>
 Mentor and coach junior team members in model development process
 </li>
 <li>
 Develop industry best practice on model development/validation
 </li>
 <li>
 Drive high standards of customer service and proactive client communication throughout the project term
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8-12 years' experience in credit risk modelling across customer life cycle
 </li>
 <li>
 A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
 </li>
 <li>
 Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
 </li>
 <li>
 Experience working on large data sets using Modern languages like Python
 </li>
 <li>
 Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques
 </li>
 <li>
 Good applied statistics skills, such as distributions, statistical testing, regression etc.
 </li>
 <li>
 Understanding of decisioning and portfolio management in banking and financial services would be added advantage
 </li>
 <li>
 Understanding of credit bureau would be an added advantage
 </li>
 <li>
 Extensive experience of managing large projects
 </li>
 <li>
 Experience of working in a financial services environment or Modelling department of International Banks
 </li>
 <li>
 Able to interpret technical features into commercial benefits
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Benefits package includes:
 
 
 
 <ul>
 <li>
 Great compensation package.
 </li>
 <li>
 Core benefits include, Group mediclaim Insurance, Sharesave scheme and more!
 </li>
 <li>
 25 days annual leave &amp; 10 sick leaves.
 </li>
 <li>
 Car Lease policy
 
 
 </li>
 </ul>
 Role Location: Mumbai
 
 
 Experian is an equal opportunities employer
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
 
 
</div>

Senior Analytics Consultant

Explore 94+ Machine learning engineer in Mumbai this October. Find roles across top companies and apply now to boost your career.

94 machine learning engineer jobs IN Mumbai

Software Engineer, University Graduate, 2026

Data Scientist

Data Scientist

Senior Data Scientist

Data Scientist (Quant Research) - GM Data & AI Lab

Lead – Supply Chain Digital transformation & Analytics

Senior Analytics Consultant