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3.0 - 7.0 years

0 Lacs

navi mumbai, maharashtra

On-site

You will be responsible for developing and implementing predictive models and machine learning algorithms to address logistics-related challenges like demand forecasting, route optimization, inventory prediction, and shipment delay analysis. This involves analyzing large volumes of structured and unstructured logistics data from systems like TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP platforms. Your role will also include designing and maintaining dashboards and visualizations to monitor supply chain KPIs, operational performance, and model outputs using tools such as Power BI, Tableau, or similar platforms. Collaboration with logistics, operations, procurement, and IT teams will be essential to comprehend business challenges and translate them into data science solutions. You will utilize SQL, Python, R, and big data tools to extract, clean, and prepare datasets for analysis and modeling purposes. Additionally, deploying models into production and monitoring their performance to ensure accuracy and reliability over time will be part of your responsibilities. In this position, you will contribute to strategic initiatives like logistics network design, warehouse automation, and sustainability optimization. Conducting A/B testing and causal inference to evaluate changes in supply chain processes and logistics strategies will also be a key aspect of your role. This is a full-time position with benefits including health insurance and provident fund. The work schedule is during day shifts and the work location is in person.,

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8.0 - 12.0 years

0 Lacs

pune, maharashtra

On-site

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data, understanding fraud patterns, and developing fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. You will be expected to conduct hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and monitor strategy performance. Proficiency in Logistic Regression/ ML Model development, regardless of the programming language, is essential. Your role will require thought leadership in designing, developing, and implementing Machine Learning solutions. Having a holistic view of retail banking products, best practices, and integrating analytical thinking with business knowledge is crucial. Experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling are necessary. Strong skills in SAS, SQL, Hive, Impala, and Excel are expected, with knowledge in Python being desirable. Previous experience in Fraud Analytics and familiarity with Tableau or other data visualization tools are advantageous. Stakeholder management across various functions and regions, translating data into consumer insights, effective communication with business partners and senior leaders, and delivering clear presentations are key aspects of the role. You will also be responsible for project management, including creating project plans, assigning responsibilities, completing projects in a timely manner, and supporting regulatory/audit activities and risk control efforts when required. Qualifications: - 8+ years of analytics experience, including model development, with prior Fraud analytics experience preferred - Good knowledge of Python, SQL, and Big Data, with familiarity in ML/DL applications like Keras, TensorFlow, Python Scikit - Advanced analytical and business strategy skills - Effective communication and presentation skills - Project and process management abilities - Experience in financial services analytics - Strong organizational and multitasking skills - Self-starter with a collaborative team spirit Education: - Bachelors/University degree or equivalent experience, Masters degree preferred In this role, you will be part of the Decision Management job family, focusing on Specialized Analytics (Data Science/Computational Statistics) on a full-time basis. If you require accommodation due to a disability, review the Accessibility at Citi guidelines. For information on Citi's EEO Policy Statement and Know Your Rights, refer to the provided resources.,

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3.0 - 4.0 years

5 - 6 Lacs

Gurugram

Work from Office

Manager, Data Scientist, Pricing Strategy - Gurugram, Haryana, India Manager, Data Scientist, Pricing Strategy Manager, Data Scientist, Pricing Strategy About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What youll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What youll need: Masters degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter ( Agency ). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing. Alert me about jobs like this Upon clicking Apply, you will be redirected to the Klook Workday application form. Please do not close your browser. We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox. Please enter your validation code: Hold on, youre being redirected to the application form. About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Hong Kong SAR Hong Kong SAR About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox.

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15.0 - 19.0 years

0 Lacs

karnataka

On-site

As a data and analytics engineering professional at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and ultimately driving business growth. In the realm of artificial intelligence and machine learning, your responsibilities will involve developing and implementing advanced AI and ML solutions to foster innovation and enhance business processes. Your work will encompass designing and optimizing algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with 15+ years of hands-on experience are preferred for this role. Essential requirements for this position include familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges. You should also possess a solid understanding of conversational data (chats, emails, and calls) to train Conversational AI systems. In-depth knowledge of CCaaS platforms such as NiceCX, Genesys, and Cisco, including their architecture, functionalities, and integration capabilities, is crucial. Proficiency in contact center metrics like average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) is necessary. Additionally, familiarity with sentiment analysis, topic modeling, and text classification techniques, as well as proficiency in data visualization tools like Tableau, Power BI, and Quicksight, is required. An understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics is essential. Expertise in NLU verticals such as ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI is highly valued. You will also be expected to apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms to enhance contact center performance. Preferred qualifications include proficiency in programming languages such as Python, Pyspark, R, and SQL, as well as a strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling, along with skills in techniques like regression analysis, time series forecasting, clustering, and NLP techniques, is advantageous. Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data is beneficial. An understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data is also preferred. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), as well as an understanding of ethical considerations in data science and responsible AI practices, will be beneficial. The ideal educational background for this role includes a degree in BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.,

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3.0 - 7.0 years

0 Lacs

karnataka

On-site

As a Data Scientist focused on Manufacturing Data Solutions at PwC, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. In this role, your key responsibilities will include developing predictive models using advanced statistical and machine learning techniques, conducting time series analysis, classification, and regression to support business objectives, and utilizing Spark, Databricks, or cloud platforms like Azure/AWS for data processing. You will ensure seamless data flow from various sources into analytical models and create compelling visualizations using Tableau to convey data insights. Additionally, you will work with cross-functional teams to identify business challenges, develop data-driven solutions, and lead projects to implement innovative data science methodologies. To excel in this position, proficiency in Python, R, SQL, TensorFlow, and PyTorch is mandatory. Experience with time series analysis, predictive modeling, classification, and regression is essential, along with familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. Expertise in creating visualizations with Tableau to convey data insights is also required. While not mandatory, having an interest in exploring new data science trends and technologies, as well as experience working with cross-functional teams to develop data-driven solutions, would be beneficial for this role.,

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5.0 - 9.0 years

0 Lacs

karnataka

On-site

We are looking for a highly experienced SAP IBP Functional Expert to join our team at Yara. As the SAP IBP Functional Expert, your primary responsibility will be to optimize the functional aspects of our SAP Integrated Business Planning (IBP) system. You will collaborate closely with business stakeholders to align SAP IBP functionalities with organizational objectives, manage complex configurations, and resolve critical issues. Your role will involve driving strategic initiatives to enhance efficiency and effectiveness across the supply chain. Key Responsibilities: - Lead the functional design, configuration, and enhancement of SAP IBP modules, with a focus on Demand and Supply Planning. - Serve as the primary point of contact for SAP IBP functional issues and escalations. - Utilize advanced analytics and predictive modeling techniques to analyze demand and supply data, identifying opportunities for improvement. - Collaborate with business leaders to translate requirements into system functionalities. - Monitor key performance indicators (KPIs) related to demand planning accuracy and inventory levels, providing actionable insights for continuous improvement. - Drive continuous improvement initiatives and system optimization strategies. - Provide leadership and mentorship to the SAP IBP functional team. - Coordinate with technical teams to ensure seamless integration and performance. - Develop and maintain documentation and best practices for SAP IBP processes. - Manage transport management processes. - Work closely with internal and third-party technical teams to analyze, troubleshoot, and resolve production issues. - Review Quarterly SAP IBP Upgrades and assess their impact on the platform. Profile: Experience: Experience in Demand, Inventory, Supply & Response Modules with an understanding of Integration & S4 Extractors. Experience with advanced analytics and machine learning models in the context of supply chain planning is preferred. Certification in SAP IBP is a plus. Education: Bachelor's degree in supply chain management, Information Systems, or a related field. Master's degree is preferred. Skills: Deep expertise in SAP IBP, including configuration, customization, and optimization. Strong understanding of demand and supply planning processes. Experience leading SAP IBP implementation and upgrade projects. Excellent problem-solving skills and ability to manage complex functional issues. Strong communication skills for interaction with senior management and stakeholders. Leadership experience in mentoring and developing junior team members. Join us at Yara for an innovative work environment that encourages creativity and out-of-the-box thinking. We offer career growth opportunities through tailored training programs, mentorship, and clear pathways for advancement. With flexible working hours, remote work options, and a generous vacation policy, we prioritize work-life balance. Your work will have a direct impact, and our strong company values reflect our commitment to diversity and inclusion. Apply now to be part of a dynamic team at Yara, where your professional development and well-being are our priorities.,

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5.0 - 9.0 years

0 Lacs

thane, maharashtra

On-site

As a Senior Data Scientist at AjnaLens in Thane (Maharashtra, India), you will play a crucial role in the Product Intelligence team. Your responsibilities will include delving deep into complex data, shaping product strategy, mentoring junior data scientists, and influencing strategic decisions. Your expertise in transforming data into actionable insights will contribute to the development of AI-powered experiences and wearable technologies, shaping the future of technology. In this leadership role, you will lead data analysis efforts to uncover insights that drive product and business strategy. Developing and implementing advanced predictive models will be a key aspect of your role, enabling long-term forecasting of customer retention and revenue impacts. Additionally, you will mentor and guide junior data scientists, fostering a data-driven culture within cross-functional teams. With a minimum of 5 years of experience in data science, you are expected to have a proven track record in predictive modeling, A/B testing, and driving data strategy within product teams. Your top skills should include expertise in advanced predictive modeling techniques, statistical analysis, and leading data-driven initiatives. Experience with A/B testing frameworks, customer behavior analytics, and effective communication skills are essential for translating complex findings into actionable recommendations for leadership and product teams. Your primary tasks will involve leading the design and implementation of data models to predict product performance, retention rates, and revenue growth. Conducting advanced statistical analysis to optimize AI features and interactions, mentoring junior data scientists, collaborating with cross-functional teams, and creating insightful dashboards and visualizations will be part of your daily responsibilities. Join us at AjnaLens as we co-create the future of conscious technology with our strategic investor Lenskart.,

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2.0 - 6.0 years

0 Lacs

haryana

On-site

The Economic Analyst, North America (NAM) position at Mastercard Economics Institute (MEI) involves engaging in data analytics and economic research for the U.S. and Canada. Reporting to the VP, Lead Economist for North America at MEI, you will be responsible for supporting client and stakeholder engagements, collaborating with external clients and partners, and generating initial insights to create impactful storylines and visuals. You will also be involved in synthesizing analyses into clear recommendations, writing reports and client presentations, enhancing existing products, and proactively seeking new knowledge to improve productivity. The role requires a Bachelor's degree in Economics, Statistics, or Mathematics, with experience in statistical modeling, quantitative analysis, and R development, focusing on economic research. Proficiency in SQL and Hadoop is essential, along with expertise in R, Python, or other statistical packages. Experience with Tableau is preferred, and knowledge of JavaScript for data visualization is a plus. Familiarity with econometric and statistical techniques such as predictive modeling, regression analysis, time series modeling, and data mining methods is necessary. A willingness to learn additional statistical applications and software is expected. Candidates with prior experience in the financial services industry will be given preference. Strong communication and writing skills are essential for this role, along with the ability to actively participate in thought leadership activities and contribute to the continuous improvement of quality and productivity within the organization.,

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5.0 - 9.0 years

0 Lacs

maharashtra

On-site

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

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6.0 - 11.0 years

8 - 12 Lacs

Bengaluru

Work from Office

About the job : Zeta Global is looking for an experienced ML Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organization. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning best-practices and industry standards. Be able to design and execute experiments to measure the impact of new features and machine learning models on business outcomes. Empower the product and engineering teams to make data-driven decisions. What you need to succeed 46 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelors degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred. Solid experience with ML infrastructureincluding model deployment, evaluation, data processing, and debuggingwith a track record of building scalable ML solutions from business requirements. Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API. Hands-on experience with LLMs like GPT or Claude is highly desirable. Strong background in building, deploying, and integrating AI agents using LLMs is a big plus. Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment. Committed to high code quality, with an emphasis on thorough code reviews and testing. Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders. Our technology runs on the Zeta Marketing Platform, which powers end to end marketing programs for some of the worlds leading brands. With expertise encompassing all digital marketing channels Email, Display, Social, Search and Mobile Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

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3.0 - 5.0 years

1 - 4 Lacs

Pune, Bengaluru

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Job Title:Data Analyst Experience: 3-5 Years Location:Pune and Bangalore Job Description : For Data Analyst role please look for candidates only from Pune and Bangalore locations. It is observed that later candidates deny to shift cities and then its a challenge to take up next steps. Pyspark, Banking domain are MUST have for DA role. Atleast 3 years of experience is needed. Even for Tech BA roles resumes are not relevant. Guess Aditi has already spoken to you on this. Please look for candidates who can join in maximum 20 days.

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1.0 - 2.0 years

3 - 6 Lacs

Chennai

Work from Office

platform and business data to drive strategic decisions and optimize performance. Conduct in-depth analysis of user behavior and engagement, translating insights into actionable recommendations for product, marketing, and customer service teams.Monitor KPIs, identify trends, and ensure data accuracy to improve service delivery and user experience across all verticals. Key Responsibilities Collect data from diverse sources. Clean and preprocess data to ensure accuracy, completeness, and integrity. Perform EDA to identify trends, patterns, and correlations within platform and business data. Utilize data visualization tools for effective data presentation. Conduct in-depth analysis of user behavior, engagement metrics, and customer feedback across platforms and verticals. Identify areas for improvement based on analysis. Inform strategic decision-making. Track performance over time. Identify opportunities for optimization. Collaborate with product development, marketing, and customer service teams. Translate data insights into actionable recommendations and initiatives for each business vertical. Monitor key performance indicators (KPIs) and metrics related to service delivery, user experience, and business performance across verticals. Employ supervised learning for predictive modeling (churn, behavior). Employ unsupervised learning for user segmentation. Use NLP for sentiment analysis and topic extraction from text. Explore deep learning for complex data like images or sequences, enhancing analytical capabilities and insights. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or related field. 1-2 years experience in data analysis. Proficiency in SQL, Python or R, and data visualization tools. Strong analytical and problem-solving skills, with ability to translate data into actionable insights. Excellent communication and collaboration skills. Experience with EDA and KPI monitoring. Experience in Data Modeling would be an advantage.

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5.0 - 10.0 years

7 - 12 Lacs

Bengaluru

Work from Office

We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you ll create algorithms and conduct statistical analysis. Overall, you ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. Responsibilities Analyse and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Impact Youll Make: Requirements and skills Previous experience as a data engineer or in a similar role GCP experience is a must for this role Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must Good hands on experience in programming languages ( e.g. Java and Python) \ Technical expertise with data models, data mining, and segmentation techniques Hands-on experience with SQL and NoSQL database design Great numerical and analytical skills GCP Data engineering certification is a plus This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Lead Engineer, Data Development

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2.0 - 3.0 years

4 - 5 Lacs

Noida

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Data Scientist for Market Research Job Description : Role Overview: We are seeking a highly skilled Data Scientist with strong analytical programming capabilities and experience working with large-scale datasets The role involves driving analytics-led market estimations, model development using LLMs, and supporting new product initiatives Key Responsibilities: Clean, process, and analyze large datasets for actionable insights and market extrapolations Develop and deploy AI/ML models, including use of LLMs for market intelligence automation and new product development Support the development of analytics modules and tools aligned to business and client needs Apply statistical and predictive modeling to generate actionable insights for client decision-making Candidate Profile : Required Qualifications: Bachelor s degree in Statistics, Computer Science, Data Science, or related fields 2-3 years of relevant experience a must Strong programming skills in Python and SQL Experience with AI/ML frameworks such as TensorFlow, PyTorch, and LLM-based workflows Familiarity with cloud platforms (AWS, GCP) and model deployment practices Tier 1/Tier 2 academic background preferred

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0.0 - 4.0 years

2 - 6 Lacs

Bengaluru

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Aragen is looking for Junior Research Associate to join our dynamic team and embark on a rewarding career journeyAs a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects.Conduct research studies and analyze data using a variety of research methods and tools.Analyze and interpret data using statistical software and other analytical tools.Prepare reports and presentations summarizing research findings and conclusions.

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3.0 - 8.0 years

5 - 10 Lacs

Mumbai, Hyderabad, Pune

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We are eagerly seeking candidates with 3 to 12 years’ experience for a Data Scientist to join our dynamic team. The ideal candidate will play a pivotal role in data analysis, statistical modeling, and machine learning to extract valuable insights from data Role: Data Scientist Location: Pune/Hyderabad/Mumbai Experience: 3 to 12 years Job type: Full time Work type: Hybrid Impact you will realize: Job Responsibilities Individuals will be responsible for leveraging their expertise in data analysis, statistical modeling, and machine learning to extract valuable insights from data Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL. Develop solutions using Machine Learning and Generative AI Develop and apply statistical models to gain insights and make predictions based on historical data. Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc. Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization. Deploy machine learning models into production systems and make necessary updates or improvements. Ensure data privacy and compliance with relevant regulations Documentation of analytical methods, data pipelines, and model workflows Key skills you will require: Primary Skills Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL. Develop solutions using Machine Learning and Generative AI Develop and apply statistical models to gain insights and make predictions based on historical data. Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc. Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization. Deploy machine learning models into production systems and make necessary updates or improvements. Ensure data privacy and compliance with relevant regulations Documentation of analytical methods, data pipelines, and model workflows

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6.0 - 11.0 years

8 - 14 Lacs

Bengaluru

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GCP Cloud Architecture. Model Deployment Lifecycle Knowledge of creating Training & Serving Pipeline Familiar with any one of workflow: Kubeflow, Airflow, ML Flow, Argo etc" Strong in Python Adequate SQL skill Must have skill : Python, SQL, ML Engineer (Model Deployment/MLOPS), ML Pipeline-(Kubeflow, Airflow Flow, Argo etc,) Preferred Skill: Pytorch, TensorFlow, Exp in hiper scaler/Cloud Service, Deep learning framework,

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1.0 - 5.0 years

4 - 8 Lacs

Pune

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Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally

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3.0 - 6.0 years

10 - 20 Lacs

Chennai

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Job Description: We are looking for a talented and experienced Senior Data Scientist with a minimum of 4 years of professional experience in model development and expertise in Gen AI projects. As a Senior Data Scientist, you will be responsible for developing advanced machine learning models, conducting exploratory data analysis (EDA), performing feature selection/reduction, and utilizing cutting-edge technologies to deliver high-quality solutions. The ideal candidate should possess strong programming proficiency in Python and experience with cloud platforms like GCP or equivalent, as well as visualization tools like Qliksense, Power BI, Looker Studio, or Tableau. Job Responsibility: Data Scientists 4+ Year (Mandatory Skills) Model development (regression and classification), should have strong experience in performing EDA, Feature selection/Feature Reduction, building models and evaluate its performance Should have worked on Gen AI project Strong programming proficiency in python with mastery of data science libraries Pandas, numpy and scikitlearn GCP (BQ, Vertex AI) or other equivalent cloud Visualization (Qliksense / Looker Studio / Power BI / Tableau) Skills: GenAI Model development (regression and classification) EDA Python GCP / other equivalent cloud Visualization Data Scientist We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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2.0 - 5.0 years

4 - 7 Lacs

Gurugram

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Job Summary: We are looking for a results-driven and detail-oriented Assistant Manager Advanced Analytics to support data-driven decision-making across key business functions. This role involves working closely with cross-functional teams to deliver actionable insights through advanced data analysis, statistical modeling, and data visualization. Key Responsibilities: Partner with business stakeholders to understand challenges and translate them into analytical solutions. Conduct advanced data analysis to identify trends, patterns, and opportunities for business growth and process optimization. Build dashboards, KPIs, and visualizations using tools like Power BI, Tableau, or Looker. Work on predictive modeling and statistical techniques to support initiatives in marketing, operations, finance, and product. Assist in building scalable data models and pipelines in collaboration with data engineering teams. Present analytical findings and recommendations clearly to senior management. Monitor performance metrics and drive continuous improvement based on insights. Required Skills: Strong analytical and problem-solving capabilities with business acumen. Proficiency in SQL and hands-on experience with Python or R for data analysis. Experience with data visualization tools such as Power BI , Tableau , or Qlik . Solid understanding of statistical modeling , predictive analytics , and machine learning techniques . Familiarity with cloud platforms (AWS, GCP, Azure) and working with large datasets. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelors/Masters degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Prior experience in retail, BFSI, e-commerce, or consumer tech analytics. Experience working with tools like Excel, Jupyter, Git , and collaborative platforms (e.g., Jira, Confluence).

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2.0 - 6.0 years

6 - 10 Lacs

Pune

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AI Ops Engineer2 Job TitleAI Ops EngineerExperience35 yearsAbout the RoleWe are seeking a hands-on and proactive AI Ops Engineer to operationalize andsupport the deployment of large language model (LLM) workflows, including agentic AIapplications, across Marvells enterprise ecosystem.This role requires strong prompt engineering capabilities, the ability to triage AI pipelineissues, and a deep understanding of how LLM-based agents interact with tools,memory, and APIs. You will be expected to diagnose and remediate real-time problems,from prompt quality issues to model behavior anomalies. Key ResponsibilitiesDesign, fine-tune, and manage prompts for various LLM use cases tailored to Marvellsenterprise operations.Operate, monitor, and troubleshoot agentic AI applications, including identifying whetherissues stem from:Prompt quality or structureModel configuration or performanceTool usage, API failures, or memory/recall issuesBuild diagnostics and playbooks to triage LLM-driven failures, including handling fallbackstrategies, retries, or re-routing to human workflows.Collaborate with architects, ML engineers, and DevOps to optimize agent orchestrationacross platforms like LangGraph, CrewAI, AutoGen, or similar.Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, orConfluence using REST APIs, webhooks, and adapters.Implement observability and logging best practices for model outputs, latency, and agentperformance metrics.Contribute to building self-healing mechanisms and alerting strategies for production-gradeAI workflows.Required Qualifications 36 years of experience in software engineering, DevOps, or ML Ops with exposure toAI/LLM workflows.Strong foundation in prompt engineering and experience with LLMs like GPT, Claude,LLaMA, etc.Practical understanding of AIOps platforms or operational AI use cases (incident triage,log summarization, root cause analysis, etc.).Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc.Familiarity with scripting (Python), RESTful APIs, and basic system debugging.Strong analytical skills and the ability to trace issues across multi-step pipelines andasynchronous agents. Good-To-HaveGleanDevRevCodiumCursorAtlassian AIDatabricks Mosaic AI

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1.0 - 4.0 years

9 - 15 Lacs

Pune

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Function/Craft: Analytics Position Title: Senior Associate Marketing Sciences Position Overview We are seeking a skilled and driven professional to join our Analytics Team. The ideal candidate will be analytically minded, hands-on, and possess a strong academic background, an entrepreneurial spirit, and a genuine interest in data analytics. This role requires the ability to leverage analytics to present information in a clear and impactful manner that supports fact-based decision-making. This role is based in Pune but will be supporting teams around the world. Responsibilities Accurately assess the effectiveness and performance of paid advertising campaigns by collecting, aggregating, processing, and analyzing large datasets from multiple sources, including proprietary agency analytics platforms. Pull data from multiple sources using automated methods; clean and validate data using standard processes and perform regular data quality checks. Support data processes such as ETL (extract, transform, load); write scripts to automate or process data with guidance, leveraging databases to store and harmonize large datasets for analysis. Build analytical models (e.g., marketing mix, brand awareness, marketing attribution ) and perform analysis with minimal guidance, using standard tools and applications with the ability to investigate non standard results. Load models into optimization platforms and run simulations and optimizations as directed. Create and update presentations, analytical dashboards, and simulation tools to support clients and internal teams. Coordinate with internal and external clients for projects and workflows to ensure high-quality deliverables and timely execution with good degree of independence. Participate in client meetings and present analytical insights to internal teams and stakeholders, communicating complex findings clearly and confidently. Foster a mindset of continuous improvement by identifying opportunities to enhance processes and increase efficiency. Handle ad hoc assignments within the scope of the role; apply technical knowledge and judgment to solve problems in straightforward situations. Document processes and establish best practices. Support multiple projects with complex scope and tight deadlines. Establish relationships with clients and stakeholders and train associates or new joiners in the organizations. Qualification - Required Skills Bachelors degree in Statistics, Mathematics, Econometrics, Quantitative Finance, Actuarial Science, Engineering, or a related field from a reputable university 3 to 5 years of experience in analytics, with a focus building statistical models or predictive modelling Strong proficiency with Microsoft Office, particularly Powerpoint and Excel, including its advanced features Fluency in data management, statistical and optimization languages, ideally one of these: R/SQL/PYTHON Strong knowledge of Statistics and Econometrics (e.g., R-square, MAPE, Hypothesis Testing) Excellent verbal and written English communication skills, with the ability to present data-driven insights effectively and simplify complex ideas to peers and senior leaders within agencies and with clients Proven track record of collaborating across teams to deliver actionable insights and enhance client deliverables. Excellent problem-solving skills, attention to detail and strong time management and organizational skills and open-minded with desire to self-develop and face new challenges Qualifications - Desired Skills Ability to thrive and enthusiasm to work in a fast-paced, ambiguous, and dynamic environment, with the capability to manage multiple priorities under pressure. Experience in the marketing domain and media measurement, marketing mix and ROI measurement, simulation or optimization Experience with industry tools such as Syndicated Consumer (Simmons, MRI), Syndicated Sales (Nielsen Polk, JD Powers), Media Consumption (Nielsen, Arbitron, Comscore), Paid Media Monitoring (Kantar, AdViews) and Social Media Monitoring (NetBase, Sysomos) Prior project management experience is a plus

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3.0 - 5.0 years

9 - 13 Lacs

Chennai

Work from Office

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Mandatory Skills: Data Analysis. Experience: 3-5 Years.

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5.0 - 8.0 years

6 - 12 Lacs

Mohali

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Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Must know Artificial Intelligence

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2.0 - 5.0 years

6 - 8 Lacs

Navi Mumbai

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Job Summary: We are seeking a Data Scientist with strong Data Engineering skills to bridge the gap between raw data and actionable insights. In this hybrid role, you will work on building robust data pipelines, enabling large-scale data processing, and applying machine learning models to solve real-world business problems. Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines to process structured and unstructured data from various sources. Collaborate with data scientists and analysts to build data infrastructure that supports modeling, experimentation, and advanced analytics. Clean, transform, and organize large datasets for use in machine learning models and statistical analysis . Build and deploy ML pipelines in production environments using MLOps principles . Optimize data workflows for scalability, performance, and cost-efficiency. Monitor and troubleshoot data quality issues, implementing solutions to ensure reliability and accuracy.

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