What Jobs are available for Analysts in Mumbai?

Experience: 6-8years

Looking for Senior Data Science Developers (immediate joiners).

Key Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and opportunities.
• Develop and deploy machine learning models to solve business challenges.
• Communicate findings through data visualizations and reports.
• Collaborate with data engineers, analysts, and product teams to turn insights into action.
• Design and implement A/B tests to evaluate feature performance or business hypotheses.
• Translate business problems to data science problem
• Work with stakeholders to understand data needs and deliver custom solutions.

Must have Skills:

• Proficiency in Python for data analysis and modeling.
• Strong knowledge of SQL and working with relational databases.
• Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc).
• Experience in Forecasting will be added advantage
• Solid understanding of statistics , probability , and hypothesis testing .
• Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
• Working knowledge with cloud platforms like AWS, Databricks (Databricks preferred)
• Experience in MLOP's and CI/CD work flow
• Expeirence in developing end to end pipeline in any of cloud platform (AWS and Databricks)

Hi,

We are having an opening for Manager / Senior Manager 2 Data Science at our Mumbai location

Job Summary :

The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders.

Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners

Areas of Responsibility :

For designated complex and business critical digital and technology based data & AI related projects,

• Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases
• Clear understanding of the expected business outcome, business value and specific outputs / deliverables
• Managing stakeholders and expectations from use of data science and analytics
• Working in tandem with Data guardians from different functions, in-line with their requirements and vision
• Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided
• Planning benefits realization for Data Science projects and execution strategy
• Reusability of data streams, wherever applicable, to eliminate duplication in data foot print
• Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers
• Structuring delivery team organization, managing the engagement with relevant partner ecosystem
• Managing CI-CD pipelines and building ML products for internal teams
• Managing budgets, managing scope, time and quality, measuring and managing change
• Targeted communication, orchestration and governance
• System/solution usage and adoption, benefit realization and measurement

Educational Qualification : B. Tech / MBA

Skills :

• Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment.
• Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users
• Ability to understand and interpret complex datasets and formulate means for merging disparate data sources
• Strong fundamentals in cloud services and data lake architecture.
• Work involves handling sensitive data and confidential information requiring discretion on the role holder's part.
• Ability to work under deadlines and comfortable with certain level of ambiguity
• Ability to multi task, successfully adapt to changes in work priorities.
• Should be comfortable to operate at a strategic level, and also have an eye for detail.
• Should be a self motivated

Experience :

7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute)

Experience in handling data/ data models for different functions

Our client is looking for enthusiastic and bright individuals to join us as Junior Data Science Apprentices in a fully remote setting. This apprenticeship offers an unparalleled opportunity for motivated candidates to gain hands-on experience in the exciting field of data science. You will work alongside experienced data scientists, learning to collect, clean, analyze, and interpret complex datasets to derive meaningful insights. The program is designed to provide a comprehensive understanding of data science principles, tools, and methodologies, preparing you for a successful career in this in-demand field. This is an ideal role for recent graduates or individuals looking to transition into a data-focused career.

What You'll Do:

• Assist in collecting and cleaning large datasets from various sources.
• Learn to perform exploratory data analysis (EDA) to understand data patterns and characteristics.
• Support data scientists in building and validating predictive models using machine learning algorithms.
• Develop data visualizations to communicate findings effectively.
• Gain exposure to programming languages commonly used in data science, such as Python and R.
• Learn about database management and querying using SQL.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Understand and apply statistical methods for data analysis.
• Assist in the documentation of data science processes and findings.
• Collaborate with cross-functional teams to understand business requirements and data needs.
• Learn to deploy and monitor machine learning models in production environments.
• Work with big data technologies and cloud platforms.
• Receive mentorship and guidance from senior data science professionals.
• Develop a strong portfolio of data science projects.
• Contribute to the continuous improvement of data science workflows and tools.
• Understand ethical considerations and best practices in data handling and analysis.
• Gain practical experience in feature engineering and model selection.

What We're Looking For:

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving skills.
• Basic understanding of programming concepts, preferably in Python or R.
• Familiarity with basic statistical concepts.
• Eagerness to learn and a strong passion for data science and machine learning.
• Excellent communication skills, both written and verbal.
• Ability to work independently and as part of a remote team.
• Proactive attitude and a willingness to take on new challenges.
• Basic knowledge of SQL is a plus.
• Experience with data visualization tools is a plus.
• Understanding of data ethics and privacy principles is beneficial.
• A keen interest in uncovering patterns and insights from data.

This apprenticeship is a fully remote opportunity, providing flexibility and the chance to learn and grow from anywhere. Our client is dedicated to nurturing future talent in the data science landscape.

Our client, a cutting-edge technology firm specializing in advanced analytics and AI solutions, is seeking enthusiastic and bright Graduate Trainees to join their Data Science team. This program offers an exceptional opportunity for recent graduates to gain hands-on experience in a dynamic and innovative environment. As a Graduate Trainee, you will work alongside experienced data scientists, contributing to real-world projects involving data collection, cleaning, analysis, and model development. Key responsibilities will include assisting in the exploration of large datasets, performing statistical analysis, developing predictive models, and visualizing data to derive actionable insights. You will gain exposure to various machine learning algorithms, data mining techniques, and programming languages such as Python or R. The ideal candidate possesses a strong academic background in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering), a keen analytical mind, and a passion for data-driven problem-solving. Previous exposure to data science concepts through coursework, personal projects, or internships is highly valued. Excellent communication skills are essential, as you will need to present findings and collaborate with team members. This role is based in our office in Mumbai, Maharashtra, IN , offering a structured training program designed to foster your professional growth. Our client is committed to providing a supportive learning environment, mentorship, and opportunities for career advancement. This internship is ideal for individuals eager to launch their careers in the exciting field of data science and make a meaningful contribution to innovative projects.

Our client, a prestigious academic institution, is seeking a passionate and accomplished Senior Lecturer specializing in Data Science to join their esteemed faculty. This on-campus position is dedicated to shaping the next generation of data scientists through rigorous academic instruction, cutting-edge research, and mentorship. You will be responsible for developing and delivering engaging course content, conducting impactful research, and contributing to the vibrant academic community. We are looking for an individual with a profound understanding of statistical modeling, machine learning, data mining, and big data technologies, coupled with a genuine enthusiasm for teaching and student development. This role offers a unique opportunity to influence curriculum design and contribute to the advancement of data science education.

Responsibilities:

• Develop and deliver high-quality lectures and course materials for undergraduate and postgraduate programs in Data Science.
• Design and implement innovative pedagogical approaches to effectively teach complex data science concepts.
• Conduct independent research in Data Science or a related field, publishing findings in reputable journals and presenting at conferences.
• Supervise student research projects, dissertations, and theses.
• Mentor and advise students on academic and career development.
• Contribute to curriculum development and enhancement for the Data Science programs.
• Engage in academic service, including committee work and program administration.
• Collaborate with faculty members across departments to foster interdisciplinary research and teaching initiatives.
• Stay abreast of the latest advancements and trends in data science, artificial intelligence, and machine learning.
• Promote a positive and inclusive learning environment for all students.
• Participate in departmental and institutional events and initiatives.
• Contribute to the growth and reputation of the Data Science department.

Qualifications:

• Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field.
• A strong publication record in peer-reviewed journals and conferences.
• Minimum of 5 years of teaching experience at the university level, with a proven ability to engage students.
• Demonstrated expertise in core data science areas such as machine learning, statistical modeling, data mining, big data analytics, and data visualization.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) and relevant libraries/frameworks.
• Excellent communication, presentation, and interpersonal skills.
• Ability to inspire and motivate students.
• Experience in curriculum development and academic administration is desirable.
• A passion for research and a commitment to academic excellence.
• Ability to work collaboratively within a faculty team.

This is an exceptional opportunity for an experienced educator and researcher to make a significant impact in the field of Data Science within a supportive and intellectually stimulating environment.

Our client, a forward-thinking technology consulting firm, is looking for enthusiastic and bright recent graduates to join their Data Science team as Graduate Trainees. This is a fully remote, entry-level position designed to provide comprehensive training and hands-on experience in the exciting field of data science. Successful candidates will work alongside experienced data scientists, contributing to real-world projects and developing valuable skills in data analysis, machine learning, and predictive modeling.

Key Responsibilities:

• Assist in collecting, cleaning, and pre-processing large datasets from various sources.
• Support data scientists in developing and implementing machine learning models for classification, regression, and clustering tasks.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Help in creating data visualizations and reports to communicate findings to stakeholders.
• Learn and apply statistical techniques and data mining methods.
• Participate in team meetings, brainstorming sessions, and training workshops.
• Contribute to documentation of data science processes and methodologies.
• Gain hands-on experience with programming languages like Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Support the testing and validation of data models.
• Work collaboratively with a remote team to achieve project goals.

Qualifications:

• Recent graduate (within the last 12 months) with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of programming concepts, preferably with exposure to Python or R.
• Familiarity with basic statistical concepts and machine learning algorithms is a plus.
• Excellent communication skills, both written and verbal, with the ability to work effectively in a remote setting.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Ability to work independently and manage time effectively in a remote environment.
• Must have reliable internet access and a dedicated workspace for remote work.

This internship offers a fantastic opportunity for recent graduates to kick-start their careers in data science within a supportive and innovative remote environment. Our client is dedicated to nurturing talent and providing a pathway for future growth within the organization.

Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing 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.
**Title: Senior Specialist, Global Data Science**
**Brief introduction - Role Summary/Purpose:**
+ The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.
+ The **Data Scientist** position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, **predictive modeling** , simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive
+ The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling
+ Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects
**Responsibilities:**
+ Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases
+ Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business
+ Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations
+ Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built
+ Deploys models using Airflow, Docker on Google Cloud Platforms
+ Own Pricing and Promotion, Marketing Mix from scoping to delivery
+ Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL
+ Present insights in an easy to interpret way to the business teams
+ Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets
+ Ready to work closely with business partners across geographies
**Required Qualifications:**
+ BE/BTECH ( Computer Science, Information Technology is preferred ), MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics
+ 5+ years of experience in building statistical models and driving insights
+ Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.
+ Hands on experience on coding languages Python(mandatory) and SQL
+ Knowledge of using GitHub, Airflow for coding and model deployments
+ Understand visualization frameworks PyDash, Flask, PlotLy
+ Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.
+ Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment
**Preferred Qualifications:**
+ Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models
+ Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
+ Working knowledge of consumer packaged goods industry
+ Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
+ Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)
+ Knowledge of deployment of models in Cloud Environment using Airflow, Docker
**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, color, 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 request form ( should you require accommodation.
#LI-Remote

**Description**
+ Collaborate with end users and the systems team to understand system processes and troubleshoot issues
+ Execute key system processes that support month-end accounting activities
+ Reconcile financial and system data to ensure accuracy and integrity
+ Gather, analyze, and document functional business requirements and processes
+ Configure, test, and support financial systems for enhancements, upgrades, and new implementations
+ Develop and execute detailed test scripts to validate system functionality and performance
+ Accurately manage, prioritize, and resolve support tickets in a timely manner, ensuring effective communication with stakeholders
+ Create comprehensive training materials and deliver training sessions to end users
+ Perform other duties as assigned
**Skills and Abilities:**
+ Experience with Oracle applications, specifically Oracle E-Business Suite or Oracle Cloud, preferred.
+ Strong understanding of system implementation lifecycle and financial application architecture.
+ Strong problem-solving skills with the ability to creatively analyze and independently resolve issues.
+ Quick learner with the capability to adapt to new technologies and processes.
+ Proficiency in with entry-level or higher expertise in SQL, or relevant query technology.
+ Familiarity with Microsoft Office Tools is a plus.Self-motivated, with excellent organizational skills and attention to detail.
+ Strong written and verbal communication skills.
**Qualifications**
+ Bachelor's degree in Accounting or Finance or Information Technology, Computer Science, or a related field.
+ 4 years of experience in Financial Systems Support, with a preference for candidates who have Oracle and SQL or relevant query language experience.
This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
**Job** Accounting/Finance
**Primary Location** India-Maharashtra-Mumbai
**Schedule:** Full-time
**Travel:** No
**Req ID:**
**Job Hire Type** Experienced Not Applicable #BMI N/A