3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
Strong problem solving skills and the ability to articulate really well.
Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
Strong working knowledge of python ML stack is very important here.
Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

GBM
XgBoost
Random Forest
Neural Net
Logistic Regression

3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
Strong problem solving skills and the ability to articulate really well.
Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
Strong working knowledge of python ML stack is very important here.
Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

GBM
XgBoost
Random Forest
Neural Net
Logistic Regression

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Software Engineer, Memorres

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Natural Language Processing (NLP)

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Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
Own the end-end process, from recognizing the problem to implementing the solution.
Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

Skills and Qualification

12 to 15 yrs of experience.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language
Understanding and Neural Language Modeling.
Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
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Responsibilities

Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
Own the end-end process, from recognizing the problem to implementing the solution.
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12 to 15 yrs of experience.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language
Understanding and Neural Language Modeling.
Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
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Data scientist- analytics

at fintech startup

Agency job

via Qrata by Rayal Rajan

Pune

4 - 12 yrs

₹15L - ₹45L / yr

Python

Linear regression

Logistic regression

Machine Learning (ML)

Algorithms

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

Lead Data Scientist

at Spotmentor Technologies

4 recruiters

Posted by Deepak Singh

NCR (Delhi | Gurgaon | Noida)

2 - 5 yrs

₹20L - ₹30L / yr

Python

Machine Learning (ML)

Natural Language Processing (NLP)

NOSQL Databases

Spotmentor is focussed on using the Intelligence-age tools and technologies like AI and Text analytics to create HR technology products which go beyond compliance and ERPs to give HR the power to become strategic, improve business results and increase the competitiveness. The HR and People departments have long sought to become strategic partners with businesses. We are focussed on taking this concept out of the board room meetings and making it a reality and you can be a part of this journey. At the end of it, you would be able to claim that there was an inflection point in History, which changed how business was transacted and you made that happen. Our first product is a Learning and Skill development platform which helps the organisations to acquire capabilities critical for them by helping employees attain their best potential through learning opportunities. Spotmentor was started by 4 IIT Kharagpur alumni with experiences in creating Technology products and Management consulting. We are looking for a Data Scientist who will help discover the information hidden in vast amounts of data, and help us make smarter decisions that benefit the employees of our customer organisations. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high quality prediction systems using structured and unstructured data. Technical Responsibilities: - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Extending the existing data sets with third party sources of information - Processing, cleansing, and verifying the integrity of data used for analysis - Build recommendation systems - Automate scoring of documents using machine learning techniques Salary: This is a founding team member role with a salary of 20 Lacs to 30 Lacs per year and a meaningful ESOP component. Location: Gurgaon We believe in making Spotmentor the best place for the pursuit of excellence and diversity of opinions is an important tool to achieve that. Although as a startup our primary objective is growth, Spotmentor is focussed on creating a diverse and inclusive workplace where everyone can attain their best potential and we welcome female, minority and specially abled candidates to apply.

Data Scientist

at The creator economy with local production. ( GE1)

Agency job

via Multi Recruit by Ashwini Miniyar

Bengaluru (Bangalore), Mumbai, Delhi

5 - 8 yrs

₹30L - ₹40L / yr

Data Science

Data Scientist

You hold an MS/Ph.D. degree in a STEM domain and 5+ years in a relevant position
You share your ideas and continuously improve yourself and the team around you.
Experienced in building and scaling data teams across multiple locations and domains.
You have a good understanding of evolving an organization’s culture based on analytics and data insights
Natural and comfortable leader, have excellent problem-solving, organizational, and analytical skills
Passionate about data improving business and engineering practices like continuous delivery, traceability, and observability
Strong communication skills, high integrity, and great attention to detail

You’ll get to work with:

Consumer-facing, as well as core platform, finance, and distribution business units
Marketing and product teams, across to our engineering teams
Modern infrastructure (Kubernetes, AWS, GCP)

What we offer

We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business.

Some of the highlights of the package include:

Strong technical culture of continuous innovation and improvement
Chance to become a shareholder of Gelato!
Flexible festive holidays, swap days off according to your values and beliefs.
Work at one of our hub city offices or even remotely
And much more!

You hold an MS/Ph.D. degree in a STEM domain and 5+ years in a relevant position
You share your ideas and continuously improve yourself and the team around you.
Experienced in building and scaling data teams across multiple locations and domains.
You have a good understanding of evolving an organization’s culture based on analytics and data insights
Natural and comfortable leader, have excellent problem-solving, organizational, and analytical skills
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Strong communication skills, high integrity, and great attention to detail

You’ll get to work with:

Consumer-facing, as well as core platform, finance, and distribution business units
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What we offer

We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business.

Some of the highlights of the package include:

Strong technical culture of continuous innovation and improvement
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Flexible festive holidays, swap days off according to your values and beliefs.
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Data Scientist

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5 recruiters

Posted by Vipin Kumar

Mumbai

1 - 7 yrs

₹6L - ₹14L / yr

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Python

Data Analytics

Work on the cutting edge FinTech landscape on problems of prediction and analytics.This position will work on internal and external data to draw insights into the bottomline for improving customer experience, credit decisioning and predictive maintainance of the platform.

ETL specialist (for a startup hedge fund)

at GitHub

4 recruiters

Posted by Nataliia Mediana

Remote only

3 - 8 yrs

$24K - $60K / yr

ETL

PySpark

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athena

+9 more

We are a nascent quant hedge fund; we need to stage financial data and make it easy to run and re-run various preprocessing and ML jobs on the data.
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- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena

To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.

If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.

Responsibilities
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Requirements
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Technical Lead- AI

at MTX

2 recruiters

Posted by Himani Jain

Bengaluru (Bangalore), Hyderabad

5 - 10 yrs

₹28L - ₹49L / yr

Artificial Intelligence (AI)

Machine Learning (ML)

Neural networks

MTX Group Inc. is seeking a motivated Technical Lead - AI to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

Extensive research and development of new AI/ML techniques that enables learning

the semantics of data (images, video, text, audio, speech, etc)

Improving the existing ML and DNN models and products through R&D on cutting edge technologies
Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system
Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms
Create POCs to quickly test a new model architecture and create improvement over an existing methodology
Introduce major innovations that can result in better product features and develop strategies and plans required to drive these
Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices

What you will bring:

4-6 years of Experience
Experience in neural networks, graphical models, reinforcement learning, and natural language processing
Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc
In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI
Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
Ability to perform research that is justified and guided by business opportunities
Demonstrated successful implementation if industry grade AI solutions in the past
Ability to lead a team of AI engineers in an agile development environment

What we offer:

Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)

Sum Insured: INR 5,00,000/-
Maternity cover upto two children
Inclusive of COVID-19 Coverage
Cashless & Reimbursement facility
Access to free online doctor consultation

Personal Accident Policy (Disability Insurance) -

Sum Insured: INR. 25,00,000/- Per Employee
Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
Temporary Total Disability is covered
An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
Monthly Internet Reimbursement of upto Rs. 1,000
Opportunity to pursue Executive Programs/ courses at top universities globally
Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

Responsibilities:

Extensive research and development of new AI/ML techniques that enables learning

the semantics of data (images, video, text, audio, speech, etc)

Improving the existing ML and DNN models and products through R&D on cutting edge technologies
Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system
Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms
Create POCs to quickly test a new model architecture and create improvement over an existing methodology
Introduce major innovations that can result in better product features and develop strategies and plans required to drive these
Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices

What you will bring:

4-6 years of Experience
Experience in neural networks, graphical models, reinforcement learning, and natural language processing
Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc
In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI
Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
Ability to perform research that is justified and guided by business opportunities
Demonstrated successful implementation if industry grade AI solutions in the past
Ability to lead a team of AI engineers in an agile development environment

What we offer:

Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)

Sum Insured: INR 5,00,000/-
Maternity cover upto two children
Inclusive of COVID-19 Coverage
Cashless & Reimbursement facility
Access to free online doctor consultation

Personal Accident Policy (Disability Insurance) -

Sum Insured: INR. 25,00,000/- Per Employee
Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
Temporary Total Disability is covered
An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
Monthly Internet Reimbursement of upto Rs. 1,000
Opportunity to pursue Executive Programs/ courses at top universities globally
Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

Machine Learning Engineers

at Ignite Solutions

6 recruiters

Posted by Juzar Malubhoy

Pune

3 - 7 yrs

₹7L - ₹15L / yr

Machine Learning (ML)

Python

Data Science

We are looking for a Machine Learning Engineer with 3+ years of experience with a background in Statistics and hands-on experience in the Python ecosystem, using sound Software Engineering practices. Skills & Knowledge: - Formal knowledge of fundamentals of probability & statistics along with the ability to apply basic statistical analysis methods like hypothesis testing, t-tests, ANOVA etc. - Hands-on knowledge of data formats, data extraction, loading, wrangling, transformation, pre-processing and analysis. - Thorough understanding of data-modeling and machine-learning concepts - Complete understanding and ability to apply, implement and adapt standard implementations of machine learning algorithms - Good understanding and ability to apply and adapt Neural Networks and Deep Learning, including common high-level Deep Learning architectures like CNNs and RNNs - Fundamentals of computer science & programming, especially Data structures (like multi-dimensional arrays, trees, and graphs) and Algorithms (like searching, sorting, and dynamic programming) - Fundamentals of software engineering and system design, such as requirements analysis, REST APIs, database queries, system and library calls, version control, etc. Languages and Libraries: - Hands-on experience with Python and Python Libraries for data analysis and machine learning, especially Scikit-learn, Tensorflow, Pandas, Numpy, Statsmodels, and Scipy. - Experience with R and its ecosystem is a plus - Knowledge of other open source machine learning and data modeling frameworks like Spark MLlib, H2O, etc. is a plus

Data Scientist

at Monexo Fintech

1 video

5 recruiters

Posted by Mukesh Bubna

Mumbai, Chennai

1 - 3 yrs

₹3L - ₹5L / yr

Data Science

Python

R Programming

The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.