Senior / Principal Data Scientist

at Energy Exemplar

Posted by Sagar Soni
5 - 10 yrs
Best in industry
Full time
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Deep Learning

About Role:

Want to shape the future of Energy through Data Science? We have the data and if you have got the skills to unlock the patterns behind how a little change in one input parameter can have so much impact on the optimized Energy output parameters, like energy price. 

The Energy Exemplar (EE) data team is looking for an experienced Applied ML Data Scientist to join our Pune office. The data team is committed to helping EE customers keep a check on how heat rate, capacity expansion and daily unit commitment are subject to variations in demand, renewables, gas price, etc. There are lots of such use cases. By continuously gathering and analysing data, and by working with organizations inside and outside EE, the data team stays agile to combat evolving challenges. Our mission is to help advice customers and systems with industry-leading proactive optimal predictions and engage in valuable partnerships.

As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our intelligent systems to predict and provide proactive advice. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide value additions for hundreds of EE customers.

At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering - you get to do the fun stuff.) We also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at EE.


  • Monitor and analyze data to uncover optimization gaps
  • Develop high-performance algorithms, machine learning models, or other methodologies to close optimization gaps.
  • Identify performant features and models and make them universally accessible to our teams across EE.
  • Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models.
  • Act as a resident expert for machine learning, statistics, and experiment design.


  • 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets.
  • Proficiency in Python, Azure ML, or other statistics/ML tools.
  • Proficiency in Deep Neural Network, Python based frameworks.
  • Proficiency in Azure DataBricks, Hive, Spark.
  • Proficiency in deploying models into production (Azure stack).
  • Moderate coding skills. SQL or similar required. C# or other languages strongly preferred.
  • Outstanding communication and collaboration skills. You can learn from and teach others.
  • Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services.
  • Experience with prediction in adversarial (energy) environments highly desirable.
  • Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable.
  • A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable
Read more

About Energy Exemplar

Energy Exemplar is the Market Leader in Energy Simulation Software; trusted forecasting and analysis for mission-critical financial decisions.

We are currently expanding our product team in Pune & Bengaluru.

Read more
100-500 employees
View full company details
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
Matches delivered
Network size
Companies hiring

Similar jobs

Senior AI Researcher

at Tvarit

Founded 2019  •  Products & Services  •  20-100 employees  •  Raised funding
Machine Learning (ML)
Data Science
Artificial Intelligence (AI)
Time series
User Research
recommendation algorithm
2 - 10 yrs
₹10L - ₹30L / yr

Key work responsibilities

  • Supporting company mission by understanding complex business problems through data-driven solutions.

  • Developing end-to-end ML production-ready solutions and new algorithms.

  • Designing and developing machine learning techniques using Python

  • Implementing prototypes using suitable statistical tools and artificial intelligence algorithms.

  • Preparing high quality research papers and participating in conferences to present and report experimental results and research findings.

  • Driving innovation and efficiency by analysing the data insights ranging from data exploration and feature engineering for actionable insight.

  • Leading research and innovation and collaborating with internal team and facilitating review of ML-systems for innovative ideas to prototype new models.

  • Managing interns and new hires in developing research pipelines

Your background

  • Ph.D. / (Masters with 2+) years of industrial experience in Computer Science, Industrial or Electrical Engineering, Machine Learning, Mathematical Optimization, Statistics or Mathematics.

  • Practical experience with ML in research and development projects

  • Ability to work on multiple projects. Must have strong design and implementation skills.

  • Experience with large-scale production code development is a plus.

  • Ability to conduct research based on complex business problems.

  • Strong presentation skills and the ability to collaborate in a multi-disciplinary team.

  • Must have programming experience in Python.

  • Familiarity with Docker, ML Libraries like PyTorch, sklearn, pandas, SQL is a plus

  • Excellent in English communication skills, both written and verbal.

Read more
Job posted by
Soumya Sahadevan

Data Scientist - Kofax Accredited Developers

at a global provider of Business Process Management company

Agency job
via Jobdost
Machine Learning (ML)
Data Science
Statistical Analysis
Natural Language Processing (NLP)
Mumbai, Pune, Bengaluru (Bangalore), Gurugram, Nashik, Chennai
7 - 11 yrs
₹18L - ₹25L / yr

Job Description:

Role Summary:

The Robotics Process Automation Business Analyst helps define the business case for the proposed automation of the business processes by reviewing the current process, identifying the automation potential of the process, and the potential FTE takeout. The process architect working with the customer subject matter experts, and the technical architect designs the steps in the process that can be automated (with or without reengineering), and which serves as a basis for the development team to implement the robotics.

The business analyst will also review the design at the design stage, validates the developed automation to ensure it meets the intended design and the business benefits.


B1 – Data Scientist - Kofax Accredited Developers


Total Experience – 7-10 Years

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders , like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes


Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services


Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA with 15+ years of full time education


Read more
Job posted by
Saida Jabbar

Data Scientist

at CarWale

Founded  •   •  employees  • 
Data Science
Data Scientist
R Programming
Machine Learning (ML)
Amazon Web Services (AWS)
Navi Mumbai, Mumbai
3 - 5 yrs
₹10L - ₹15L / yr

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.


Read more
Job posted by
Vanita Acharya

AI Architect

at mavQ

Founded 2020  •  Product  •  100-500 employees  •  Raised funding
Artificial Intelligence (AI)
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Deep Learning
Remote, Hyderabad
6 - 13 yrs
₹42L - ₹65L / yr

What You’ll Do:

  • Accurate translation of business needs into a conceptual and technical architecture design of AI models and solutions
  • Collaboration with developers and engineering teams resolving challenging tasks and ensuring proposed design is properly implemented
  • Strategy for managing the changes to the AI models (new business needs, technology changes, model retraining, etc.)
  • Collaborate with business partners and clients for AI solutioning and use cases. Provide recommendations to drive alignment with business teams
  • Define and implement evaluation strategies for each model, demonstrate applicability and performance of the model, and identify its limits
  • Design complex system integrations of AI technologies with API-driven platforms, using best practices for security and performance
  • Experience in languages, tools & technologies such as Python, Tensorflow, Pytorch, Kubernetes, Docker, etc
  • Experience with MLOps tools (like TFx, Tensorflow Serving, KubeFlow, etc.) and methodologies for CI/CD of ML models
  • Proactively identify and address technical strengths, weaknesses, and opportunities across the AI and ML domain
  • Strategic direction for maximizing simplification and re-use lowering overall TCO

What You’ll Bring:

  • Minimum 10 years of hands-on experience in the IT field, at least 6+ years in  Data Science/ ML / AI implementation based Products and Solutions 
  • Experience with Computer Vision - Vision AI  & Document AI
  • Must be hands-on with Python programming language, MLOps, Tensorflow, Pytorch, Keras, Scikit, etc.,
  • Well versed with deep learning concepts, computer vision, image processing, document processing, convolutional neural networks and data ontology applications
  • Proven track record at execution of projects in agile & cross-functional teams
  • Published research papers and represented in reputable AI conferences and the ability to lead and drive research mindset across the team
  • Good to have experience with GCP / Microsoft Azure / Amazon Web Services
  • Ph.D. or Masters in a quantitative field such as Computer Science, IT, Stats/Maths


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 Google Cloud, Amazon & others.
Read more
Job posted by
Prakash Guptha

ML Engineer

at MNC

Agency job
via Fragma Data Systems
Machine Learning (ML)
Deep Learning
Load Testing
Performance Testing
Stress Testing
Test Planning
Bengaluru (Bangalore)
3 - 7 yrs
₹15L - ₹20L / yr

Primary Responsibilities

  • Understand current state architecture, including pain points.
  • Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
  • Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
  • Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
  • Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
  • Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
  • Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
  • Make recommendations and assess proposals for optimization.
  • Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

  • 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
  • Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
  • Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
  • Strong programming skillset with high proficiency in Python, R, etc.
  • Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
  • Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
  • Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
  • Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
  • Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
  • Willing to flex daily work schedule to allow for time-zone differences for global team communications
  • Strong interpersonal and communication skills
Read more
Job posted by
Harpreet kour

Machine Learning Engineer

at Aikon Labs Private Limited

Founded 2009  •  Product  •  20-100 employees  •  Bootstrapped
Natural Language Processing (NLP)
Machine Learning (ML)
Data Structures
Deep Learning
0 - 5 yrs
₹1L - ₹8L / yr
About us
Aikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.
Get in touch If you are interested. 

Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.

Main Duties
● Quickly research the latest innovations in Machine Learning, especially with respect to
Natural Language Understanding & implement them if useful
● Train models to provide different insights, mainly from text but also other media such as Audio and Video
● Validate the models trained. Fine-tune & optimise as necessary
● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers
● Build preprocessing pipelines for the models that are bieng served as a REST API
● Periodically, test & validate models in use. Update where necessary

Role & Relationships
We consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEO

Educational Qualifications
We don’t discriminate. As long as you have the required skill set & the right attitude

Upto two years of experience, preferably working on ML. Freshers are welcome too!

● Strong understanding of Java / Python
● Clarity on concepts of Data Science
● A strong grounding in core Machine Learning
● Ability to wrangle & manipulate data into a processable form
● Knowledge of web technologies like Web server (Flask, Django etc), REST API's
Even better
● Experience with deep learning
● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, Keras
● Knowledge of NLP libraries such as NLTK, spacy, gensim.
● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext
● An aptitude to solve problems & learn something new
● Highly self-motivated
● Analytical frame of mind
● Ability to work in fast-paced, dynamic environment


Once we meet, we shall make an offer depending on how good a fit you are & the experience you already have
Read more
Job posted by
Shankar K
Data Science
Machine Learning (ML)
Deep Learning
Bengaluru (Bangalore)
4 - 7 yrs
₹10L - ₹20L / yr
Work-days: Sunday through Thursday
Work shift: Day time

  •  Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
Read more
Job posted by
Priyanka U

Data Science Software Engineer

at StatusNeo

Founded 2020  •  Products & Services  •  100-1000 employees  •  Profitable
Data Science
Computer Vision
Natural Language Processing (NLP)
Machine Learning (ML)
Amazon Web Services (AWS)
Deep Learning
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.


Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.


Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
Job posted by
Yashika Sharma
Data Science
Natural Language Processing (NLP)
R Programming
Text mining
Bengaluru (Bangalore)
5 - 9 yrs
₹14L - ₹20L / yr
The Sr. NLP Text Mining Scientist / Engineer will have the opportunity to lead a team, shape team
culture and operating norms as a result of the fast-paced nature of a new, high-growth
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support  Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.
Read more
Job posted by
geeti gaurav mohanty

Data Scientist

at Jiva adventures

Founded 2017  •  Product  •  20-100 employees  •  Profitable
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Bengaluru (Bangalore)
1 - 4 yrs
₹5L - ₹15L / yr
Should be experienced in building Machine learning pipelines.   Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework
Read more
Job posted by
Bharat Chinhara
Did not find a job you were looking for?
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at Energy Exemplar?
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort