Jobs

Data Science & Analytics

Anywhere in India

Agra

Ahmedabad

Ahmednagar

Ajmer

Aligarh

Amritsar

Asansol

Aurangabad

Bareilly

Belagavi

Bengaluru

Bhavnagar

Bhilai

Bhopal

Bhubaneswar

Bikaner

Chandigarh

Chennai

Coimbatore

Cuttack

Dehradun

Delhi-NCR

Dhanbad

Gorakhpur

Guntur

Guwahati

Gwalior

Hubli

Hyderabad

Indore

Jabalpur

Jaipur

Jalandhar

Jamnagar

Jamshedpur

Jodhpur

Kannur

Kanpur

Kochi

Kolhapur

Kolkata

Kota

Lucknow

Ludhiana

Madurai

Malappuram

Mangalore

Meerut

Mumbai

Mysuru

Nagpur

Nashik

Panipat

Patna

Prayagraj

Puducherry

Pune

Raipur

Rajkot

Ranchi

Saharanpur

Salem

Solapur

Surat

Thiruvananthapuram

Trichy

Udaipur

Ujjain

Vadodara

Varanasi

Vijayawada

Visakhapatnam

Warangal

Admin / Back Office / Computer Operator

Advertising / Communication

Aviation & Aerospace

Banking / Insurance / Financial Services

Beauty, Fitness & Personal Care

Construction & Site Engineering

Consulting

Content, Editorial & Journalism

CSR & Social Service

Customer Support

Delivery / Driver / Logistics

Domestic Worker

Energy & Mining

Engineering - Hardware & Networks

Environment Health & Safety

Facility Management

Finance & Accounting

Healthcare / Doctor / Hospital Staff

Human Resources

IT & Information Security

Legal & Regulatory

Maintenance Services

Marketing / Brand / Digital Marketing

Media Production & Entertainment

Operations

Production / Manufacturing / Engineering

Product Management

Project & Program Management

Purchase & Supply Chain

Quality Assurance

Research & Development

Restaurant / Hospitality / Tourism

Retail & eCommerce

Risk Management & Compliance

Sales & BD

Security Services

Shipping & Maritime

Software Engineering

Strategic & Top Management

Tailoring, Apparel & Home Furnishing

Teaching & Training

UX, Design & Architecture

Popular Job Localities

Popular Job Companies

Popular Job Departments

Jobs in Top Cities

Popular Job Type

Start Hiring

ExecutiveJob details

 •Proposed designation 
 Executive


 •Role type 
 Individual contributor


 •Reporting to  
 Senior (D Grade)


 •Geo to be supported 
 UK


 •Work timings 
 9 to 5.30 or 11.30 to 8 – as per business requirement

 Roles &amp; responsibilities

 •Process large data extracts from client ERP systems into the KPMG proprietary tool.


 •Understand ERP systems from Functional or Techno-Functional perspective.


 •Coordinate with engagement teams and external clients to obtain the required data to perform audit D&amp;A solutions.


 •Work with KPMG engagement teams to discuss results from the tool.


 •Debugging issues during on large data set.


 •Audit D&amp;A Solution Delivery – lead and be part of the team that is responsible for Audit D&amp;A service delivery and ensure timely and quality audit deliverables


 •Content &amp; Industry Focus – Build strong domain expertise (Accounting &amp; Auditing), ERP specific and Industry knowledge to enable effective collaboration with International counterparts in KPMG and Clients


 •Coach and mentor, the team in every aspect of project management for effective client service


 •Using analytic &amp; visualization tools (e.g., Data Bricks, SQL, Azure, Power BI, Alteryx, etc.) to perform and present analytic routines to the engagement team in a user friendly and insightful format.


 •Participate in the design, development, and implement fixes and enhancements to existing modules or new modules.


 •Document processes and procedures for use by users / administrators


 •Prepare and maintain related project documentation &amp; process guidance 
  This role is for you if you have  the belowEducational qualifications

 •Btech or Bachelor’s in Computer Application; or


 •ERP/ Data Analytics experience

Work experience

 •Minimum 2+ years of post-qualification experience


 •Experience with Big 4/leading Audit firms or their shared service center would be preferred


 •Proven technical project management skills / debugging skills

Mandatory  technical &amp; functional skills

 •Experience in data &amp; analytics tools (like Data Bricks, Power BI, SQL, Azure, Alteryx, Advanced Excel)


 •Be a critical thinker with strong analytical and problem-solving skills


 •Be comfortable with manipulating and combining large, high dimensional datasets from multiple sources

Preferred technical &amp; functional skills

 •Mix of technical &amp; functional experience or skill is preferred


 •Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations without compromising on quality, and ethical standards and values.


 •Proficient in use of Microsoft Excel, PowerPoint and Word


  

Key behavioural attributes/requirements

 •Excellent written and verbal communication skills.


 •Team player


 •Self-driven


 •Ability to work independently and motivate team players


  

Other information

 •Interview process: 1-2 rounds


 •Does the job role involve travelling: No


 •Does the busy season apply to this role?: Yes (Jan-Mar &amp; 8-10 working hours)

 <h4>Experience Level</h4>Executive Level

Kpmg India Services Llp

Data Analyst

Machine Learning Data Scientist About the Role Join our dynamic team to design, develop &amp; deploy ML models for Time Series/Deep Learning Predictive Modeling, Forecasting. Work with large datasets, optimize models for scale, and drive real-world impact. You’ll Work On: <ul><li>Predictive analytics, classification, Time Series/Deep Learning, Forecasting</li><li>Large-scale data wrangling &amp; model optimization</li><li>Cross-functional collaboration with Data Eng, Product &amp; Business</li><li>Staying ahead with the latest ML tools &amp; techniques</li></ul> You Bring: <ul><li>5 years in ML/Data Science</li><li>Python, SQL, Scikit-learn, TensorFlow/PyTorch</li><li>Time Series/Deep Learning Predictive Modeling, Forecasting</li><li>Strong stats &amp; model evaluation skills</li><li>Cloud Azure along with AWS &amp; GCP</li></ul> <ul><li>5-12 Years Experience</li><li>Immediate Joiners Only (Serving NP or &lt;15 Days)</li></ul> Share your updated resume now.

Xoriant

Data Scientist

Data EngineerProject Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives.
 
Roles &amp; Responsibilities: 
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the design and implementation of data architecture and data models.
- Monitor and optimize data pipelines for performance and reliability.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in PySpark.
- Strong understanding of data processing frameworks and ETL tools.
- Experience with data warehousing concepts and technologies.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of database management systems and SQL.
 
Additional Information: 
- The candidate should have minimum 3 years of experience in PySpark.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

Accenture India Private Limited

Data Engineer

Workforce Services AnalystSkill required: Trust &amp; Safety - Workforce Management (WFM) Designation: Workforce Services Analyst Qualifications:Any Graduation Years of Experience:3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a trusted, innovative, comprehensive, and experienced partner to leading platform companies. The Trust and Safety offering within Accenture Operations helps keep the internet safe and helps platform companies accelerate, scale, and improve their businesses. 
You will be responsible for the quality assurance of Content Moderation whose role includes analyzing and reviewing user profiles, audio, videos, and text-based content and/or investigating, escalating and/or resolving issues that are reported by users or flagged by the system. Due to the nature of the role, the individual and you may be exposed to flashing lights or contrasting light and dark patterns.
Content moderation is meaningful work that helps keep the internet safe. It may also be challenging, at times. In the context of this role, individuals may be directly or inadvertently exposed to potentially objectionable and sensitive content (e.g., graphic, violent, sexual, or egregious). Therefore, any role supporting content moderation needs strong resilience and coping skills. We care for the health and well-being of our people and provide the support and resources needed to perform their role responsibilities. Active participation in Accenture’s well-being support program, designed specifically for the Trust &amp; Safety community, provides valuable skills to promote individual and collective well-being. What are we looking for? •?	Technical:
o	Good understanding and experience of SQL
o	Good understanding of programming (E.g. Macros, JSON etc.)
o	Experience producing high quality dashboards using Excel
o	Advanced user of MS Office Suite and good computer skills. Advanced expertise with Excel and Power Point applications
o	Experience in Tableau, Quick Sight, Power BI is an advantage 
?	Non - Technical: 
o	Good communication skills and should be able to work under pressure
o	Maintaining good relationships with all the stakeholders
o	Demonstrate use of good analytical skills, problem solving and good decision maker
o	Ability to work independently and effectively, prioritize workload by assessing needs and prioritizing tasks. Must be able to work independently with some up-front guidance and supervision, and willingness to be flexible, adapt quickly
o	Clear and concise written, verbal, and presentation skills
o	Strong interpersonal skills; approachable and flexible
o	Work towards improvement of reporting to meet strategic Intent and behavioral change at client end
o	Maintaining and creating process related all the documents
o	Understand different business scenario, automate and create reports
o	Preparing and summarizing conclusions for various ad-hoc requests to support management, Operations and Quality Team in answering business questions 
o	Ability to check own work for data analysis or computational errors Roles and Responsibilities: •?	Support complex reporting process (Scheduled, Ad hoc requests)
?	Development team to build new dashboards leveraging AWS cloud solution
?	Be an SME on Various operational metrics/reporting 
?	Ensure data accuracy and consistent reporting
o	Coordinate with multiple stakeholders (Ops Managers/Leads, Work force management team, PMO team)
o	Provide insights/forecasting to Ops Managers/Leads to make data-driven decisions leveraging ML/Forecasting/Anomaly detection capability of AWS

Human Resources Specialist

Sr. Data Engineer Required Skills &amp; Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field.</li><li>Proven experience as a Data Architect or Sr Data Engineer</li><li>Strong expertise in data modeling, database design (SQL &amp; NoSQL), and ETL processes.</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data ecosystems (Snowflake, Databricks, BigQuery, Redshift, etc.).</li><li>Knowledge of big data technologies (Hadoop, Spark, Kafka) is a plus.</li><li>Proficiency in data governance, data security, and compliance frameworks.</li><li>Strong problem-solving and analytical skills with the ability to handle complex data challenges.</li><li>Excellent communication skills to collaborate with both technical and non-technical stakeholders.</li><li>Experience in data lake and data warehouse</li><li>Experience in data management</li><li>Plus( Certified Data Analytics, Professional Data Engineer, etc.)</li><li>Experience - 7+ Years</li><li>Notice Period - immediate to 15 days</li></ul> Share your resume now.

Team Computers Pvt Ltd

Data Scientist Snr ManagerLeads a team of people who design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Oracle Financial Services Software Ltd

Data Platform EngineerProject Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be actively involved in problem-solving and decision-making processes that impact the data platform's effectiveness and efficiency, ensuring that all components work harmoniously together to support organizational goals.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.
- Monitor and evaluate the performance of the data platform, making recommendations for enhancements and optimizations.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Strong understanding of data modeling and ETL processes.
- Experience with cloud-based data solutions and architectures.
- Familiarity with SQL and data querying techniques.
- Ability to troubleshoot and resolve data-related issues efficiently.
 
Additional Information: 
- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.
- This position is based at our Kolkata office.
- A 15 years full time education is required.

BI Developer

Sales Ex - COE - Client Success Data Science Associate ManagerAbout Accenture:        At Accenture, we believe your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity, and your best true self to your work. Here, you’ll match your ingenuity with the latest technology to do incredible things. Together, we can create positive, long-lasting change.We are:Sales Excellence. Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.The team will be aligned to the Client Success, which is a new function to support Accenture’s approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes we’re the ideal partner to help them create and realize their vision for the future – beyond their expectations.You are:An experienced data scientist with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes.The work:The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability.You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usageYou will:<ul><li>ETL raw data from the source systems across business areas and transform it into structured and usable formats for analysis and modeling purposes.</li><li>Apply statistical, machine learning, and NLP techniques to analyze data, identify patterns, and extract meaningful insights.</li><li>Develop machine learning or deep learning models to solve complex business problems or operations and implement and manage the models in the cloud platform.</li><li>Interpret and present findings to technical as well as non-technical audiences in a clear and actionable manner.</li><li>Identify Gen AI use cases leveraging various LLMs and design and conduct pilot projects to explore their feasibility and value.</li><li>Develop Gen AI-based solutions or capabilities collaborating with cross-functional teams including data engineers and business stakeholders.</li><li>Ensure data compliance with privacy regulations and implement data security measures.</li><li>Stay updated with latest developments in data science and Gen AI.</li></ul>

Software Development LeadProject Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Data Science Good to have skills : AWS Architecture Minimum 12 year(s) of experience is required Educational Qualification : Should be a Graduate Summary: 
As a Software Development Lead, you will engage in the development and configuration of software systems, either managing the entire process or focusing on specific stages of the product lifecycle. Your day will involve collaborating with various teams, applying your expertise in technologies and methodologies to support projects and clients effectively. You will also oversee the implementation of solutions, ensuring that they meet the required standards and contribute to the overall success of the project.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.
- Monitor project progress and make adjustments as necessary to ensure timely delivery.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Science.
- Good To Have Skills: Experience with AWS Architecture.
- Strong analytical skills to interpret complex data sets.
- Experience with machine learning algorithms and statistical modeling.
- Proficiency in data visualization tools to present findings effectively.
 
Additional Information: 
- The candidate should have minimum 12 years of experience in Data Science.
- This position is based at our Gurugram office.
- Should be a Graduate is required.

Senior Software Developer

Associate Analyst,Global Data ManagementNo Relocation Assistance Offered Job Number #167957 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Job Purpose : Global Data Management as a function has the objective to achieve one version of data in core business systems and applications, enabling correct transactional processes and analytics, resulting in use of the information as the asset valued for the Company. Data in scope of the function include reference data, master data, content, analytic data, social data, big data, their definitions, governance processes, metrics, lifecycle and technology. Scope of the data management depends on the current Company’s strategy and what is assessed and considered as key priority to achieve desired business outcome. Purpose &amp; Accountabilities : The Global Data Management (GDM) Analyst position supports business functions by providing master data expertise and managing the master data governance and maintenance processes. Providing support and liaison with the business and the Global GDM Team with related projects and issue resolution of queries. Identify and implement improvements resulting in increased operational and business efficiency. Key Responsibilities:<ul><li>Validate and ensure that all master data is accurate, complete and fully approved during the life cycle, in accordance to external and internal standards. Release/Reject requests and provide feedback on decision</li><li>Monitor data processes to ensure compliance with process cycle times and related performance measures and KPIs,</li><li>Monitors performance indicators/metrics for data within their span of responsibility and regularly reports status to supervisor </li><li>Analyze data in the systems to support business functions when requested</li><li>Support in issues resolution</li><li>Prepares and generates data quality reports and analysis</li><li>Plans and executes data cleansing initiatives</li><li>Participates in related projects</li><li>Ensures internal control and SOX rules are followed along GDM governance process</li><li>Develops and maintains Data Management related documentation (procedures, policies, end-user manuals, training materials, etc),</li><li>Identifies improvement to Data Management governance process, tools or systems and works on their implementation when approved,</li><li>Participates in audits, cooperates with internal and external auditors providing them required information,</li><li>Analyzes data in the systems as a part of gap-fit analysis and/or Data Management standardization projects, identifies use of the certain data elements, attributes fields, proposes standardized values and works on their implementation.</li></ul>  Key Relationships:<ul><li>End-users of GDM solutions from subsidiaries within the functional scope of responsibility</li><li>Business functions representatives from all levels of organization being involved directly in GDM governance processes or being impacted by GDM</li><li>Global GDM Domain Leaders and other regional GDM team members</li><li>Other CBS Centers</li><li>Project Teams</li><li>Global IT Organization</li><li>Other stakeholders required to solve master data issue or master data related conflict</li></ul>  Experience and Education:<ul><li>Bachelor degree minimum</li><li>Experience with Master Data Tool / Technology</li><li>Working knowledge of Machine Learning/Automation tools</li><li>SAP or other ERP tool knowledge</li><li>2 plus years of work experience</li><li>Proficient in Reporting and/or Budgeting</li></ul>  Good to Have:<ul><li>Working knowledge of programming languages SQL, Google App scripts.</li><li>Experience with third-party data i.e., syndicated market data, data anlaysis</li><li>Working knowledge of consumer packaged goods industry</li><li>Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)</li><li>Willingness and ability to experiment with new tools and techniques</li><li>Good facilitation and project management skills</li><li>Ability to maintain personal composure and tactfully handle difficult situations</li></ul> Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank">request form</a> should you require accommodation. #LI-Hybrid<h4>Experience Level</h4>Mid Level

Colgate - Palmolive India Ltd

Data Analyst Intern

Data Scientist, VPJoin us as a Data Scientist<ul><li>In this role, you’ll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions</li><li>Day-to-day, you’ll act as a subject matter expert and articulate advanced data and analytics opportunities, bringing them to life through data visualisation</li><li>If you’re ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for you</li><li>We're offering this role at vice president level</li></ul><h4>What you’ll do</h4>We’re looking for someone to understand the requirements and needs of our business stakeholders. You’ll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our business strategy.You’ll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team.You’ll also be responsible for:<ul><li>Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms</li><li>Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems</li><li>Working with and leading both direct reports and wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes</li><li>Using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics</li><li>Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models</li></ul><h4>The skills you’ll need</h4>To be successful in this role, you’ll need twelve years of expereince in evidence of project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary team. We’ll also expect you to hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience.You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets. And we’ll look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques.Additionally, you’ll need:<ul><li>Extensive experience in data science, analytics, and machine learning</li><li>Proficiency in python and relevant libraries i.e. Pandas, NumPy, Scikit-learn, coupled with experience in data visualisation tools</li><li>Strong understanding of statistical analysis, machine learning models and concepts, LLMs and data management principles</li><li>Experience with AWS Sagemaker preferred</li><li>Extensive work experience, including expertise with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods</li></ul>Hours45Job Posting Closing Date:19/09/2025<h4>Experience Level</h4>Executive Level

NatWest Group

Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

ManagerKey skills needed:<ul type="disc"><li>Model Development: Designing, implementing, and fine-tuning generative models . Experience in building LLM models and deployment in production.</li><li>Machine Learning and AI: Knowledge of machine learning concepts and AI algorithms can be advantageous, especially when dealing with more advanced chatbot capabilities and personalization.</li><li>Data Preprocessing: Handling and preprocessing large datasets for training generative models, ensuring data quality and appropriate formatting.</li><li>Problem-Solving Skills: The ability to analyze complex conversational scenarios and design appropriate AIML-based solutions to address user queries effectively.</li><li>Communication Skills: Effective communication is crucial for collaborating with other team members and stakeholders, as well as explaining technical concepts to non-technical individuals.</li><li>Collaboration: Working closely with cross-functional teams, including data scientists, engineers, and domain experts, to integrate generative models into real-world applications</li><li>Creativity and Innovation: The ability to think creatively and produce innovative solutions to enhance the chatbot's performance and user experience.</li></ul>

EXL SERVICES

Application Development Associate

Senior ManagerJob Title: Machine Learning Modeler Lead – Banking &amp; Financial Services Location: [Hybrid – GGN/BLR, WFH]Department: Data Science / AI &amp; Advanced AnalyticsEmployment Type: Full-time Job Summary - We are seeking a highly skilled and experienced Machine Learning Modeling Lead to join our ML Model Innovation team within the banking domain (both retail transactional and lending). The ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation and personalized financial services. The Individual needs to have strong knowledge of banking business, data and domain, across the customer lifecycle as well as bureau/external data. He/she will collaborate with cross-functional teams and provide technical leadership to other ML modelers and data scientists.Key Roles and Responsibilities -<ul><li>Minimum Years of Experience: 8+ years in Retail banking</li><li>Deep business expertise of the different business lines in the Retail banking Credit risk space across the customer lifecycle. Good hands-on knowledge of Banking strategies around Underwriting, Collection &amp; Recoveries, High-Risk Account Management (HRAM) and ECM Strategies.</li><li>Knowledge of Fraud strategy and analytics in Retail banking domain an added advantage.</li><li>Possesses end-to-end hands-on ML solution development experience, from data exploration, feature engineering, model development to validation, deployment and monitoring. </li><li>Develop robust models to solve across the spectrum business problems and drive business benefits. Support and review junior data scientists’ submissions and share enhancement suggestions</li><li>Responsible for documentation / reviews, model reviews and submission </li><li>Responsible for managing queries raised by the model validation teams and defending the model/solution against internal MRM/audit teams.</li><li>Collaborate with implementation teams to deploy models into production environments (cloud or on-premises).</li><li>Work closely with business stakeholders to translate banking domain challenges into data-driven solutions.</li><li>Guide junior data scientists and engineers on best practices in model development and MLOps</li><li>Continuously evaluate new tools, technologies, and frameworks relevant to ML in finance.</li><li>Publish internal research and promote a culture of innovation and experimentation.</li></ul> QualificationsEducation:<ul><li>Master’s or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.</li></ul>  Experience:<ul><li>Strong business knowledge of banking analytics across the retail banking customer lifecycle.</li><li>8+ years of experience in applied machine learning model development in the banking or financial services domain.</li><li>Hands-on experience leading ML projects and teams.</li><li>Strong experience with model development, deployment and monitoring in production environments.</li><li>Familiarity with underwriting, collections, ECM, fraud and ethical considerations in banking ML models.</li></ul> Skills:<ul><li>Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc.).</li><li>Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, Docker, Kubernetes) is added benefit.</li><li>Strong grasp of statistical modeling, optimization, and deep learning techniques.</li><li>Excellent communication skills and ability to explain complex concepts to non-technical stakeholders</li></ul>

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science & Analytics Jobs - 1957 Verified Vacancies

Data Analyst

Data Scientist

Data Engineer

Human Resources Specialist

Data Engineer

Data Scientist

BI Developer

Data Scientist

Senior Software Developer

Data Analyst Intern

Data Scientist

Data Scientist

Application Development Associate

Data Scientist

Know more about Data Science Analytics Jobs In Ghaziabad