data scientist

data scientist (quant research) - gm data & ai lab Jobs in Mumbai

data scientist (quant research) - gm data & ai lab

data analyst

data engineer

senior data engineer

senior data scientist

Dholakia Lab Grown Diamond

<div>
 
 
 Job Title:
 
 Data Scientist &ndash; Jewellery Manufacturing &amp; Retail Analytics
 
 
 
 
 
 
 Experience:
 
 2&ndash;6 years
 
 
 
 Location:
 
 Surat / Mumbai
 
 
 
 Industry:
 
 Diamond and Jewellery Manufacturing &amp; Retail
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist with a strong business mindset
 
 to solve real-world problems in the jewellery value chain &mdash; not just build models.
 
 
 This role sits at the intersection of
 
 data, finance, supply chain, and leadership
 
 . You&rsquo;ll work on demand forecasting, pricing, inventory optimisation, and margin analysis while accounting for
 
 gold price volatility, seasonality, festivals, promotions, and regional demand patterns
 
 .
 
 
 
 
 
 If you enjoy turning messy, operational data into clear business decisions, this role is for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain
 
 demand forecasting models
 
 considering seasonality, festivals, promotions, and regional trends
 </li>
 <li>
 Develop
 
 pricing and margin models
 
 factoring gold rate volatility, labour costs, and BOM structures
 </li>
 <li>
 Optimise
 
 inventory planning
 
 for weight-based SKUs (grams, carats, designs, variants)
 </li>
 <li>
 Perform
 
 profitability and contribution analysis
 
 at SKU, category, and channel levels
 </li>
 <li>
 Partner closely with
 
 finance, supply chain, sales, and senior leadership
 
 to translate insights into actions
 </li>
 <li>
 Create clear dashboards, analyses, and narratives that support
 
 executive decision-making
 
 </li>
 <li>
 Continuously improve data quality, assumptions, and model performance based on real business feedback
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 2&ndash;6 years of experience as a
 
 Data Scientist / Analytics professional
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 (Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Solid knowledge of
 
 statistics, regression, and time-series forecasting
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and working with large, imperfect datasets
 </li>
 <li>
 Ability to explain complex analysis in
 
 simple business language
 
 </li>
 </ul>
 
 
 
 
 
 Good to Have (Strong Advantage)
 
 
 <ul>
 <li>
 Experience in
 
 retail, manufacturing, jewellery, FMCG, or consumer goods
 
 </li>
 <li>
 Exposure to
 
 weight-based inventory
 
 , costing, pricing, or BOM analytics
 </li>
 <li>
 Understanding of
 
 gold pricing, wastage, making charges, or multi-component SKUs
 
 </li>
 <li>
 Experience working directly with
 
 CXOs or business heads
 
 </li>
 </ul>
 
 
 
 
 
 What We Value
 
 
 <ul>
 <li>
 Business-first thinking over theoretical perfection
 </li>
 <li>
 Curiosity and ownership &mdash; you ask
 
 why
 
 , not just
 
 what
 
 </li>
 <li>
 Comfort working in ambiguity and evolving data environments
 </li>
 <li>
 Strong collaboration across non-technical teams
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on
 
 high-impact, real-world jewellery problems
 
 , not sandbox datasets
 </li>
 <li>
 Direct exposure to
 
 leadership decision-making
 
 </li>
 <li>
 Opportunity to shape how data drives pricing, inventory, and profitability at scale
 </li>
 <li>
 Fast-growing organisation with a strong focus on
 
 analytics-led growth
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 </ul>
 
 
</div>

Data Scientist

Unilever

<div>
 
 Job Title:
 
 Data Scientist
 
 
 
 Function:
 
 Supply Chain
 
 
 
 Location:
 
 Mumbai HO
 
 
 
 Req ID:
 
 R-1171037
 
 
 
 Overview
 
 
 
 We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insights: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.
 </li>
 <li>
 Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.
 </li>
 <li>
 Supply Chain Optimization: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.
 </li>
 <li>
 Dashboard Development: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.
 </li>
 <li>
 Innovation &amp; Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s degree in data science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data science, preferably in FMCG or e-commerce
 </li>
 <li>
 Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Experience with machine learning frameworks
 </li>
 <li>
 Solid understanding of supply chain, retail, or FMCG business models
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills
 
 
 </li>
 </ul>
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding
</div>

LTIMindtree

<div>
 
 
 Skill:
 
 Data Scientist
 
 
 
 Location: Mumbai
 
 
 
 
 Experience:
 
 10 to 16 Years
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Mandate Skills:
 
 
 
 Statistical &amp; Machine Learning
 
 : Proficient in building
 
 supervised learning models
 
 (e.g., regression, classification, decision trees, ensemble methods).
 
 <ul>
 <li>
 Skilled in
 
 unsupervised learning
 
 techniques (e.g., clustering, dimensionality reduction, anomaly detection).
 </li>
 <li>
 Ability to apply
 
 statistical methods
 
 for hypothesis testing, feature engineering, and model evaluation (
 
 ROC, AUC, precision-
 
 recall, etc.).
 </li>
 </ul>
 
 
 Programming &amp; Tools
 
 :
 
 Python, Jupyter Notebook
 
 s, and libraries such as
 
 scikit-learn
 
 ,
 
 pandas, NumPy
 
 .
 
 
 
 
 
 Primary Skills &ndash; Good To have
 
 <ol>
 <li>
 
 Teradata Expertise
 
 : Strong hands-on experience with
 
 Teradata SQL, ClearScape Analytics
 
 , and
 
 ModelOps
 
 for deploying and managing models at scale.
 </li>
 <li>
 
 Domain Knowledge
 
 : Insurance industry processes, risk modelling, and customer analytics.
 </li>
 </ol>
 
 
 
 
 Responsibilities:
 
 
 <ol>
 <li>
 Analyze large datasets and develop predictive models within Teradata Data Lake/Lakehouse environments.
 </li>
 <li>
 Write simple, efficient SQL queries and collaborate with data engineering teams to build and validate data pipelines with robust data checks.
 </li>
 <li>
 Prepare, clean, and standardize data for analysis and modelling.
 </li>
 <li>
 Build supervised and unsupervised ML models using Python and Jupyter Notebooks.
 </li>
 <li>
 Communicate insights through clear reports and visualizations
 </li>
 <li>
 Document processes and ensure data quality standards.
 </li>
 <li>
 Stay updated on emerging technologies to improve model performance and reliability.
 </li>
 </ol>
 
 
 
 
 
 
 
 Interested candidates, please share resumes on Shubhadha.Naik@ltimindtree.com
 
</div>

LTIMindtree Hiring for Data Scientist- Mumbai

Tata Consultancy Services

<div>
 
 The JD for Python Data Scientist are as follows:
 
 <ul>
 <li>
 The objective of this role is to use statistical computer languages (Python) to manipulate data and draw insights from large data sets.
 </li>
 <li>
 Develop predictive analytics solution using ML algorithms such as regression, classification and random forest.
 </li>
 <li>
 Build concept and category model using text mining algorithms.
 </li>
 <li>
 Conduct Peer review and offer recommendations on other people&rsquo;s code
 </li>
 <li>
 Work with back/front-end developer to create sustaining pipelines for web applications
 </li>
 <li>
 Document the requirement to development process
 </li>
 <li>
 Skillset required for this role is Strong communication and interpersonal skills and ability to multi-task, prioritize and manage projects independently in an environment with competing priorities.
 </li>
 <li>
 Working closely with technical teams, and other organizations to understand the product and data
 </li>
 <li>
 Finding and interpreting large data sets to help predict costs
 </li>
 <li>
 Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use.
 </li>
 <li>
 Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture
 </li>
 <li>
 Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support
 </li>
 <li>
 Ensuring data collected, analyzed and presented result in actionable insights for negotiation support
 </li>
 <li>
 Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations
 </li>
 <li>
 Understanding high-level business objectives and continually align those objectives to meet the needs of the business.
 </li>
 <li>
 Able to multi-task, prioritize and project manage independently in an environment with competing priorities
 </li>
 <li>
 Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities
 </li>
 <li>
 Diverse functional experience, with a desire to use data in negotiations
 </li>
 <li>
 Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player.
 </li>
 </ul>
 
 
</div>

BNP Paribas

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

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

WSP in India

<div>
 
 Job Description
 
 
 
 WSP&rsquo;s BC/Yukon Environmental Management team in Canada is seeking a Senior Air Quality Scientist to join our growing air quality practice through the International Centre of Resource &amp; Capability (iCRC) in India. You will play a key role in delivering air quality consulting services across a wide range of industrial and regulatory projects in British Columbia and Western Canada.
 
 
 The successful applicant will operate within a team of environmental professionals in Noida and will be part of WSP Canada&rsquo;s Earth and Environment business, delivering the highest standards of technical work and aiding the continued success of the air quality team by being an integral part of our client focused delivery of projects.
 
 
 You will be joining a well-respected, large and dynamic team with a wide range of clients across different markets and sectors including national and local government, industrial, commercial and scientific sectors. There will be opportunities for the applicant to develop their consultancy skills and undertake air quality modelling, providing input to technical reports and the costing and writing of proposals and other more complex tasks.
 
 
 
 Responsibilities
 
 
 
 The successful applicant would be responsible for many of the following:
 
 
 <ul>
 <li>
 Conduct air emissions inventory and dispersion modelling assessments (e.g., using CALPUFF, or AERMOD) for regulatory and permitting projects.
 </li>
 <li>
 Preparing data inputs for modelling and processing the results from such modelling
 </li>
 <li>
 Perform quality review and statistical analysis of meteorological and ambient air quality data.
 </li>
 <li>
 Assist in preparing permit application packages (e.g., Form D series) and environmental submissions for Canadian regulators.
 </li>
 <li>
 Peer-review and support junior team members within the iCRC on modelling and documentation tasks.
 </li>
 <li>
 Collaborate with the Canadian team on a daily basis to define scope, share feedback, and meet project timelines.
 </li>
 <li>
 Contribute to internal tools, QA/QC templates, and modelling documentation processes.
 </li>
 <li>
 Assist in preparing high-quality technical figures, charts, and maps using Excel and GIS software.
 </li>
 <li>
 Actively promoting knowledge sharing with an inclusive nature, developing working relations with all aspects of WSP, gaining internal clients along the way.
 </li>
 <li>
 Preparation of material supporting marketing and bidding
 </li>
 <li>
 Supporting more senior colleagues with ad-hoc project tasks
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 We&rsquo;d love to hear from you if you have these essential skills:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in an environmental, scientific, engineering or related discipline
 </li>
 <li>
 Have at least 5 years&rsquo; experience in in air quality consulting, emissions assessment, or environmental permitting.
 </li>
 <li>
 Expertise with air dispersion models (e.g., AERMOD, CALPUFF) and emissions estimation tools (e.g., AP-42, SCREEN3).
 </li>
 <li>
 Strong English communication skills, including technical writing and reporting.
 </li>
 <li>
 Willingness to work partially aligned with the Pacific Time Zone (Canada) to support real-time collaboration with Canadian teams.
 </li>
 <li>
 Advanced proficiency in Microsoft Excel and data QA/QC workflows.
 </li>
 <li>
 Are skilled and experienced in statistical and spatial data analysis
 </li>
 <li>
 Proficiency in GIS tools (ArcGIS, QGIS) or data scripting languages (Python, R).
 </li>
 <li>
 Are ambitious and appreciate the responsibilities associated with undertaking work in highly technical subject areas
 </li>
 <li>
 Ability to mentor junior team members and ensure consistency and quality of deliverables.
 </li>
 <li>
 Are a good team worker with excellent and demonstrable attention to detail
 </li>
 <li>
 Are confident and highly motivated, with good and proactive communication skills and the ability to work independently as well as part of a team
 
 
 
 </li>
 </ul>
 
 Desirable Skills
 
 
 
 <ul>
 <li>
 Knowledge and experience preparing Canadian regulatory submissions (e.g., BC ENV, Metro Vancouver)
 </li>
 <li>
 Understanding of Canadian air quality regulations and permitting pathways.
 </li>
 <li>
 Familiarity with Canadian ambient air monitoring programs or AQMS data.
 </li>
 <li>
 Experience working for a Global Environmental Consultancy
 </li>
 <li>
 Knowledge of air pollution chemistry
 
 
 
 </li>
 </ul>
 
 BGV
 
 
 
 <ul>
 <li>
 Employment with WSP India is subject to the successful completion of a background verification (&ldquo;BGV&rdquo;) check conducted by a third-party agency appointed by WSP India.
 </li>
 <li>
 Candidates are advised to ensure that all information provided during the recruitment process &mdash; including documents uploaded &mdash; is accurate and complete, both to WSP India and its BGV partner&rdquo;.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation &amp; Infrastructure, Property &amp; Buildings, Earth &amp; Environment, Power &amp; Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
 
 
 With approximately
 
 4,000 talented people
 
 across 3 locations (Noida, Bengaluru &amp; Mumbai offices) in India and more than
 
 73,000 globally
 
 , in 550
 
 offices across 40 countries
 
 , we engineer projects that will help societies grow for lifetimes to come.
 
 
 At &ldquo;WSP&rdquo; we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Uni&filig;ed under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones:
 
 Our People, Our Clients, Our Operational Excellence and Our Expertise.
 
 
 
 
 www.wsp.com
 
 
 
 
 We are
 
 
 
 <ul>
 <li>
 Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
 </li>
 <li>
 A collaborative team that thrives on challenges and unconventional thinking.
 </li>
 <li>
 A network of experts channeling our curiosity into creating solutions for complex issues.
 
 
 
 </li>
 </ul>
 
 
 Inspired by diversity, driven by inclusion, we work with passion and purpose.
 
 
 
 
 
 Working with Us
 
 
 
 At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
 
 
 
 Our Hybrid Working Module
 
 
 
 With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
 
 
 <ul>
 <li>
 Maximize collaboration.
 </li>
 <li>
 Maintain product quality and cultural integrity.
 </li>
 <li>
 Balance community, collaboration, opportunity, productivity, and efficiency.
 
 
 
 </li>
 </ul>
 
 Health, Safety and Wellbeing
 
 
 
 Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our &ldquo;Making Health and Safety Personal&rdquo; initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
 
 
 
 Inclusivity and Diversity
 
 
 
 WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
 
 
 
 Imagine a better future for you and a better future for us all.
 
 
 
 Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
 
 
 
 With us, you can.
 
 
 Apply today.
 
 
 
 
 NOTICE TO THIRD PARTY AGENCIES:
 
 
 
 
 WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation &ndash; no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.
 
</div>

Senior Consultant Air Quality Specialist

Explore 251+ Senior data scientist in Mumbai this December. Find roles across top companies and apply now to boost your career.

251 senior data scientist jobs IN Mumbai

Data Scientist

Data Scientist

LTIMindtree Hiring for Data Scientist- Mumbai

Data Scientist

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

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

Senior Consultant Air Quality Specialist