Careers Prescience Decision Solutions November 6, 2022
If you understand data like the back of your hand and are adept at making data talk through insights, visualization, predictive analytics and all that data can do, you have come to just the right place. Our belief in Foresight for Business stems from our approach towards our engagements with our clients - we bring our technology and consulting prowess to surface insights that were not seen earlier from the same data that was available earlier. As you look to scale your career in the fields of data analytics, data consulting, visualization, predictive analytics, data governanance and a whole lot more, we provide you the playground an dthe means to further your ambitions. Apply to open positions so that you can grow with us and we can grow with you.

At Prescience, we are building an institution where everyone is inspired to build the finest solutions for our customers using the best of technologies, imagination and teamwork. We encourage our colleagues to continuously challenge themselves, keep learning and broaden their perspectives so that their professional development is always ON.

  • Direct access to founders for tech guidance, life goals & more
  • Work on latest technologies, platforms and systems
  • Client-facing roles to get you a hang of the real business scenarios
  • A fun bunch of people to hang out with
  • Transformational experience that’s beyond the code
Current Job Openings at Prescience Decision Solutions
Prescience is a place that you had always imagined to work at.
  • As a Data Engineer, you will be required to select and integrate any Big Data tools and frameworks required to provide requested capabilities. Will also be involved in implementing the data ingestion & ETL/ELT processes in modern data systems.
Required Skills, Competencies & Experience:
  • 4+Years of Experience.
  • Expert level proficiency in SQL. Proficiency in any of the programming language: Python/ Scala/ Java
  • Experience with Cloud infrastructure like AWS / Azure.
  • Expertise in building data pipelines, efficient ETL design, implementation, and maintenance.
  • Hands on experience on Hadoop tools/technologies like Spark / Databricks, Map Reduce, Hive, HDFS.
  • Expertise and excellent understanding of big data toolset such as Sqoop, Spark-streaming, Kafka, NiFi
  • Good working knowledge in NoSQL DB (Mongo, HBase, Casandra) desired.
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  • As a Data Scientist, you will be working with senior executive clients to understand the business requirements, define the correct problem statement and come up with a framework for the solution. You will also work on the solution and, at times, guide a small team to deliver the same.
  • In addition to this, you will also be involved in developing solutions in the areas of Natural Language Processing, Conversational Interfaces, Text Mining, etc.
Required Skills, Competencies & Experience:
  • Good skills in applied statistics, such as distributions, statistical testing, regression, etc.
  • Exposure to common data science business problems such as clustering, classification, anomaly detection, prediction, etc.
  • Good understanding of machine learning techniques and algorithms
  • Experience in Natural Language Processing and Computer Vision
  • Experience with common data science toolkits such as Python, R and SAS
  • Proficiency in using query languages such as SQL, Hive, etc. and experience with NoSQL databases
  • Good scripting and programming skills
  • Great communication skills
  • Data-oriented personality and excellent business analysis skills
  • Experience in building solutions for data science related problems, and working with business stakeholders to define right problem statement and solutions.
  • Master’s in computer science / statistics / any related field or Bachelor’s with equivalent experience
  • You must possess an overall work experience of 5-8 years. We are open to applications from professionals who have data analytics / BI background and have then moved to Data Scientist roles.
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  • As a Senior Business Analyst, you will work closely with business teams and support data-driven decision making as your key responsibility area. You will work in a fast-paced business environment to deliver ad-hoc analyses, spot trends, build automation frameworks and machine learning models when necessary.
Required Skills, Competencies & Experience:
  • 2+years of experience in Business Analytics
  • Strong SQL and Advanced Excel
  • Automation and Data wrangling in Python / R
  • Expertise with BI Tools Tableau / Power BI / R Shiny based visualization
  • Hold on Statistical techniques of data analysis
  • Knowledge in Teradata, Hadoop/ Spark environment
  • Good verbal and written communication skills.
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