Concirrus is on a mission to revolutionise the Insurance Industry and were named as Europe’s coolest IoT company by Gartner Group in 2015. With a new Head of Science on board in London we are entering an exciting period of growth and are looking for a Data Scientist / Data Engineer based in Delhi to join our exciting and developing Data Science team. Concirrus is commited both financially and strategically to it’s Big Data initiatives and as such, this is a great opportunity for you to shape not only your own career but also the direction of the business too.
Our company is growing, grow with us.
THE ROLE:
Concirrus are looking for a strong Data Engineer with specific experience in data engineering, Data Analytics, feature generation and feature extraction which is used to implementing complex data transformations in order to allow meaningful insights, prototyping new models, and operating over a variety of business challenges in IoT and InsurTech sectors.
As part of a Data Science Team, you will be required to perform data preparation tasks, actively support exploratory data analysis and predictive data modelling phase. you will have the creative freedom to research new models and apply innovative techniques to create portfolio of intelligent solutions within Data Science repository but most excitingly to work with Product and Software Development teams towards production deployment of your models.
You will join a highly skilled team of Data Scientists, Analysts and Software Engineers, with a passion for developing solutions in modern technologies, to contribute analysis and models to obtain insight from a variety of unstructured and semi-structured data.
Responsibilities:
- Carry out data preparation and exploratory data science projects for a range of verticals.
- Identify new innovative data transformation pipelines and features from a variety of data sources.
- Data and variable re-structuring, pre-processing and transformation across a wide range of data sources and Databases
- Validation and monitoring of various aspects of Data Quality
- Working with Big Data tools and technologies (Scoop, Flume, NiFi) to effectively manage data ingest process into Advanced Analytics Layer of Concirrus Big Data Platform.
KEY SKILLS
- Experience with all stages of a Data Science project.
- ETL processing, Data Preparation, Data Cleansing, Data Transformation
- Data Augmentation with wide a range of sources and formats.
- Expertise in Python and R as well as hands-on experience with Apache Spark (PySpark, Scala, sparkR) and Hadoop tools and ecosystem (Hive, HBase, Scoop, Flume, Oozie)
- Excellent communications and reporting skills including data visualization
- Meticulous approach to data wrangling and cleansing with an attention to details.
- High level of initiatives, an enquiring mind and readiness to advance his/her career into Machine Learning and predictive modelling areas.
- Wants to be part of a high growth start-up company with global ambitions.
SKILLS WE ARE ALSO INTERESTED IN
- Java software development background
- Working knowledge of handling geospatial data, time series analysis and anomaly detection.
- Experience with NoSQL (for example, MongoDB) databases
- Experience with ETL processes and Amazon Web Services Ecosystem
- Machine Learning, Predictive Modelling techniques
- Data Visualisation tools like Tableau, R-Shiny
- Proven ability to communicate results and educate others through reports and presentations as well as other knowledge sharing techniques.
- Understanding of Insurance related risk modelling and underwriting processes.
- Track record of working with cluster computing and distributed systems.
- Creative approach to building test hypothesises and statistical methodology to design experiments and interpret the outcomes.
WHAT WE CAN OFFER YOU:
As well as the opportunity to work on projects that you enjoy in an environment you’ll love, we like to look after our team members at Concirrus. We provide full freedom to our employees and only care about the results as everything else is not that important for e.g.
- We don’t track in or out time of employees so there is no concept of attendance.
- We don’t have leave policy that means you can take as many leave as you need to balanace your personal life.
- We don’t force you to come to office daily and spend x numbers of hours to prove you are adding value, we let you decide when you want to work from office and when you want to go on hills or Goa beach and work from there.
- We don’t have a manager heavy culture so it’s a really flat hierarchy (that why we don’t have Manager title at all in our Delhi office).
- We don’t force you to sit in a cubical, you can grab cozy bean bags and work in a cozy room, we call it “Haveli “
- We are fully aware of the air pollution situation in Delhi so we are setting up another place in Dehradoon for nature lovers who want to go and live/work from there.
by via developer jobs - Stack Overflow
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