Data Science / Analytics Consultant

Job Locations IN-Mumbai
Requisition ID
Job Category
Travel Requirements


Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?” 


If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless. 


What we do  

We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live. 


What you’ll do


    • 7 – 8 years of work experience with a Pre-Sales / Advisory background in Data Science
    • Ability to Interact & Engage with customers to understand focus areas / key priorities
    • Evaluate and propose options / approaches as part of the solution fitment process
    • Design innovative solutions using Data Science / AI /ML to address business problems
    • Conduct POC / POV / Pilot to successfully demonstrate solutions / platform to the client with context to the client’s requirements


    • Ability to engage with stakeholders to understand business requirements and

    convert the same into an analytical framework for model development

    • Knowledge of Data Science / Machine Learning / Deep Learning techniques similar to but not limited to Linear and Logistic Regression, Optimization / Forecasting, Decision Trees, Random Forests, Gradient Boosting, Neural Networks clustering etc. and their applications
    • Awareness of techniques related with RNN/CNN / ANN, Text & Image Analytics, NLG / NLP, GAN, Conversational AI etc.
    • Working knowledge of/experience in (any) SAS /R / Python is a must
    • Basic awareness of concepts around structured / unstructured data / Data Lake / Big Data / Spark
    • Experience of working with key concepts around Data Quality, Building Data Frames, Data Preparation, Feature Engineering, Data and Model Lineage
    • Candidate should have worked hands-on as an individual contributor in developing

    analytical models in business use-case driven projects

    • Working knowledge of integrating models with external applications / web applications via API’s
    • Working knowledge of Model Ops / MLOps and awareness of concepts linked with Dev Ops / CI/CD
    • Basic awareness of cloud computing and related concepts with some exposure to either Azure / AWS or GCP
    • Candidate must be a Strong team player, Strong analytical and problem-solving skills
    • Strong written and verbal communication skills.  – demonstrate an understanding of context and key levers and ability to engage stakeholders
    • Influencing skills – Build relationships with customers / SI’s / partners to achieve execution outcomes.  Ability to persuade with sound reasoning



    • Academics – B. Tech / B.E. Computer Science / M.Sc. Statistics
    • Certifications in the field of Data Science – either on Machine Learning / Cognitive Services / AI


Additional Information:

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