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Predictive analytics Jobs in Mumbai

11+ Predictive analytics Jobs in Mumbai | Predictive analytics Job openings in Mumbai

Apply to 11+ Predictive analytics Jobs in Mumbai on CutShort.io. Explore the latest Predictive analytics Job opportunities across top companies like Google, Amazon & Adobe.

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Quantiphi Inc.

at Quantiphi Inc.

1 video
10 recruiters
Bhavisha Mansukhani
Posted by Bhavisha Mansukhani
Mumbai
1 - 5 yrs
₹3L - ₹15L / yr
skill iconData Science
Decision Science
Data modeling
Statistical Modeling
skill iconPython
+3 more
About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
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Fatakpay

at Fatakpay

2 recruiters
Ajit Kumar
Posted by Ajit Kumar
Mumbai
2 - 5 yrs
₹8L - ₹15L / yr
skill iconPython
Risk analysis
credit card

Job Title: Credit Risk Analyst

Company: FatakPay FinTech

Location: Mumbai, India

Salary Range: INR 8 - 15 Lakhs per annum

Job Description:

FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.

Key Responsibilities:

  • Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
  • Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
  • Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
  • Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
  • Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
  • Prepare comprehensive reports on credit risk analyses and present findings to senior management.
  • Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
  • Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
  • Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
  • Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.

Qualifications:

  • Minimum qualification: B.Tech or Engineering degree from a reputed institution.
  • 2-4 years of experience in credit risk analysis, preferably in a fintech environment.
  • Proficiency in data analysis, statistical modeling, and machine learning techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, with the ability to present complex data insights clearly.
  • A proactive approach to work in a fast-paced, technology-driven environment.
  • Up-to-date knowledge of financial regulations and compliance standards.


We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!





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Top IT MNC

Top IT MNC

Agency job
Chennai, Bengaluru (Bangalore), Kochi (Cochin), Coimbatore, Hyderabad, Pune, Kolkata, Noida, Gurugram, Mumbai
5 - 13 yrs
₹8L - ₹20L / yr
Snow flake schema
skill iconPython
snowflake
Greetings,

We are looking out for a Snowflake developer for one of our premium clients for their PAN India loaction
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liquiloans

at liquiloans

5 recruiters
Dhirendra Singh
Posted by Dhirendra Singh
Mumbai
4 - 8 yrs
₹20L - ₹25L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+4 more
 Role: AVP Analytics
 The AVP Analytics will have the following responsibilities:
 • Analyze data across all verticals in the organization to come up with actionable insights and recommendations 
• Conceptualize and define key metrics to track for all functions within the organization
 • Create strategic roadmap and business cases to enter into new products/lines of business
 • Build, develop and maintain dashboards and performance metrics support that support key business decisions. 
• Lead cross-functional projects using advanced data analytics to discover insights that will guide strategic decisions and uncover optimization opportunities. 
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. 
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
 • Recruit, train, develop and supervise analyst-level employees. 
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. 
 
 Founding Team
 1. Achal Mittal (https://www.linkedin.com/in/achal-mittal-8a95993a/" target="_blank">https://www.linkedin.com/in/achal-mittal-8a95993a/): NMIMS Alum, Ex ICICI and HSBC and co-founded Rentomojo 
 2. Gautam Adukia (https://www.linkedin.com/in/gautam-adukia-415a0650/" target="_blank">https://www.linkedin.com/in/gautam-adukia-415a0650/): IIM Alum, Ex IIFL
 Funding: Raised Seed Round funding from Matrix Partners  
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CarWale

at CarWale

5 recruiters
Vanita Acharya
Posted by Vanita Acharya
Navi Mumbai, Mumbai
3 - 5 yrs
₹10L - ₹15L / yr
skill iconData Science
Data Scientist
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
+1 more

About CarWale: CarWale's mission is to bring delight in car buying, we offer a bouquet of reliable tools and services to help car consumers decide on buying the right car, at the right price and from the right partner. CarWale has always strived to serve car buyers and owners in the most comprehensive and convenient way possible. We provide a platform where car buyers and owners can research, buy, sell and come together to discuss and talk about their cars.We aim to empower Indian consumers to make informed car buying and ownership decisions with exhaustive and un-biased information on cars through our expert reviews, owner reviews, detailed specifications and comparisons. We understand that a car is by and large the second-most expensive asset a consumer associates his lifestyle with! Together with CarTrade & BikeWale, we are the market leaders in the personal mobility media space.About the Team:We are a bunch of enthusiastic analysts assisting all business functions with their data needs. We deal with huge but diverse datasets to find relationships, patterns and meaningful insights. Our goal is to help drive growth across the organization by creating a data-driven culture.

We are looking for an experienced Data Scientist who likes to explore opportunities and know their way around data to build world class solutions making a real impact on the business. 

 

Skills / Requirements –

  • 3-5 years of experience working on Data Science projects
  • Experience doing statistical modelling of big data sets
  • Expert in Python, R language with deep knowledge of ML packages
  • Expert in fetching data from SQL
  • Ability to present and explain data to management
  • Knowledge of AWS would be beneficial
  • Demonstrate Structural and Analytical thinking
  • Ability to structure and execute data science project end to end

 

Education –

Bachelor’s degree in a quantitative field (Maths, Statistics, Computer Science). Masters will be preferred.

 

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Railofy

at Railofy

1 video
1 recruiter
Manan Jain
Posted by Manan Jain
Mumbai
2 - 5 yrs
₹5L - ₹12L / yr
skill iconData Science
skill iconPython
skill iconR Programming

About Us:

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience:

  • Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
  • 2+ years of data science experience working with large datasets
  • Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
  • Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
  • Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
  • Good knowledge of Machine Learning and Statistical time series analysis (optional)
  • Unparalleled logical ability making you the go to guy for all things related to data
  • You love coding like a hobby and are up for a challenge!

 

Cultural:

  • Assume a strong sense of ownership of analytics : Design, develop & deploy
  • Collaborate with senior management, operations & business team
  • Ensure Quality & sustainability of the architecture
  • Motivation to join an early stage startup should go beyond compensation
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Network Science
Leena Shirsale
Posted by Leena Shirsale
Mumbai, Navi Mumbai
5 - 8 yrs
₹20L - ₹25L / yr
ETL
Informatica
Data Warehouse (DWH)
Data engineering
skill iconData Science
+4 more
  • Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
  • Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
  • Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
  • Design, develop and maintain the framework for the analytics solutions pipeline
  • Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
  • Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
  • Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives
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Aideo Technologies

at Aideo Technologies

2 recruiters
Akshata Alekar
Posted by Akshata Alekar
Mumbai, Navi Mumbai
3 - 8 yrs
₹4L - ₹22L / yr
Tableau
Natural Language Processing (NLP)
Computer Vision
skill iconPython
RESTful APIs
+3 more

We are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users. 

 

Required Experience 

  • Implementation of interactive visualizations using Tableau Desktop  
  • Integration with Tableau Server and support of production dashboards and embedded reports with it 
  • Writing and optimization of SQL queries  
  • Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis 
  • 3  years of experience working as a Software Engineer / Senior Software Engineer 
  • Bachelors in Engineering – can be Electronic and comm , Computer , IT  
  • Well versed with Basic Data Structures Algorithms and system design 
  • Should be capable of working well in a team – and should possess very good communication skills 
  • Self-motivated and fun to work with and organized 
  • Productive and efficient working remotely 
  • Test driven mindset with a knack for finding issues and problems at earlier stages of development 
  • Interest in learning and picking up a wide range of cutting edge technologies 
  • Should be curious and interested in learning some Data science related concepts and domain knowledge 
  • Work alongside other engineers on the team to elevate technology and consistently apply best practices 

 

Highly Desirable 

  • Data Analytics 
  • Experience in AWS cloud or any cloud technologies 
  • Experience in BigData technologies and streaming like – pyspark, kafka is a big plus 
  • Shell scripting  
  • Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark 
  • Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational 
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Square Panda India LLP

at Square Panda India LLP

1 recruiter
Luisa Fernandes
Posted by Luisa Fernandes
Mumbai
6 - 8 yrs
₹12L - ₹15L / yr
Analytics
skill iconData Analytics
skill iconData Science

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

 

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

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Paysense Services India Pvt Ltd
Pragya Singh
Posted by Pragya Singh
NCR (Delhi | Gurgaon | Noida), Mumbai
2 - 7 yrs
₹10L - ₹30L / yr
skill iconPython
skill iconData Analytics
Hadoop
Data Warehouse (DWH)
skill iconMachine Learning (ML)
About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.
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A Fintech startup in Dubai

A Fintech startup in Dubai

Agency job
via Jobbie by Sourav Nandi
Remote, Dubai, Bengaluru (Bangalore), Mumbai
2 - 18 yrs
₹14L - ₹38L / yr
skill iconData Science
skill iconPython
skill iconR Programming
RESPONSIBILITIES AND QUALIFICATIONS The mission of the Marcus Surveillance Analytics team is to deliver a platform which detects security incidents which have a tangible business impact and actionable response. You will work alongside industry leading technologists from who have recently joined Goldman from across consumer security, technology, fintech, finance and quant firms. The role has a broad scope which will involve interacting with senior leaders of Goldman and the Consumer business on a regular basis. The position is hands-on and requires a driven and “take ownership” oriented individual who is intently focused on execution. You will work directly with developers, business leaders, vendors and partners in order to deliver security assets to the consumer business. Develop a team, vision and platform which identifies/prioritizes actionable security & fraud risks which have tangible businesses impact across Goldman's consumer and commercial banking businesses. Develop response and recovery technology and programs to ensure resilience from fraud and abuse events. Manage, develop and operationalize analytics which discover security & fraud events and identifies risks for all of Goldman's consumer businesses. Partner with fraud / abuse operations and leadership to ensure consumer fraud rates are within industry norms and own outcomes related to fraud improvements. Skills And Experience We Are Looking For BA/BS degree in Computer Science, Cybersecurity, or other relevant Computer/Data/Engineering degrees 2+ years of experience as a security professional or data analyst/scientist/engineer Python, PySpark, R, Bash, SQL, Splunk (search, ES, UBA) Experience with cloud infrastructure/big data tool sets Visualization tools such as Tableau or D3 Research and development to create innovative predictive detections for security and fraud Build a 24/7 real-time monitoring system with long term vision for scaling to new lines of consumer businesses Strong focus on customer experience and product usability Ability to work closely with the business, fraud, and security incident response teams on creating actionable detections
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