Scikit-Learn Jobs in Bangalore (Bengaluru)

Explore top Scikit-Learn Job opportunities in Bangalore (Bengaluru) from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
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at Novo

DP
Posted by Dishaa Ranjan
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Bengaluru (Bangalore), Gurugram
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4 - 6 yrs
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₹25L - ₹35L / yr
SQL
Python
pandas
Scikit-Learn
TensorFlow
+1 more

About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 


We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.


At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  



We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?


About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)


  • Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
  • Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
  • Implements performance optimizations and best practices for scalable data models, pipelines and modelling
  • Resolve blockers and help the team stay productive
  • Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)


  • 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
  • Strong experience in python, SQL and in-depth understanding of modelling techniques
  • Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
  • Prior experience with credit risk modelling will be preferred
  • Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)


  • Expand access to data driven decision making across the organization
  • Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

  • Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
  • Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.


Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

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DP
Posted by Sarumathi NH
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Bengaluru (Bangalore)
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4 - 8 yrs
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Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Neural networks
Scikit-Learn
+2 more

With 30B+ medical and pharmacy claims covering 300M+ US patients, Compile Data helps life science companies generate actionable insights across different stages of a drug's lifecycle. Through context driven record-linking and machine-learning algorithms, Compile's platform transforms messy and disparate datasets into an intuitive graph of healthcare providers and all their activities.

 

Responsibilities:

  • Help build intelligent systems to cleanse and record-link healthcare data from over 200 sources
  • Build tools and ML modules to generate insights from hard to analyse healthcare data, and help solve various business needs of large pharma companies
  • Mentoring and growing a data science team

Requirements:
  • 4-8 years of experience in building ML models, preferably in healthcare
  • Worked with NN and ML algorithms, solved problems using panel and transactional data
  • Experience working on record-linking problems and NLP approaches towards text normalization and standardization is a huge plus
  • Proven experience as an ML Lead, worked in Python or R; with experience in developing big-data ML solutions at scale and integration with production software systems
  • Ability to craft context around key business requirements and present ideas in business and user friendly language
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DP
Posted by Nikitha Muthuswamy
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Remote, Indore, Ujjain, Hyderabad, Bengaluru (Bangalore)
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5 - 8 yrs
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₹5L - ₹15L / yr
pandas
NumPy
Data engineering
Data Engineer
Apache Spark
+6 more
  • Does analytics to extract insights from raw historical data of the organization. 
  • Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
  • Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
  • Tests the short/long term impact of productized MV models on those trends.
  • Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 
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Bengaluru (Bangalore)
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2 - 7 yrs
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₹4L - ₹20L / yr
Statistical Modeling
Data Science
TensorFlow
Python
Machine Learning (ML)
+5 more
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore
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