Senior Consultant Data Science

Description

Key responsibilities involve leading data identification, merging, and quality assurance across unstructured sources like PDFs, DOCX, and images, and designing scalable data‑engineering workflows on cloud environments. The role also entails developing reusable, version‑controlled code, building large‑scale data processing solutions with Hadoop, Spark, or Databricks, and driving OCR and advanced NLP techniques to extract actionable insights. Additionally, the incumbent will create and monitor high‑accuracy statistical and ML models, document design choices, and collaborate closely with business domain experts to deliver measurable value.

• Development of reusable, version‑controlled code and large‑scale data processing solutions (Hadoop, Spark)
• Creation, monitoring, and documentation of high‑accuracy statistical and ML models
• Collaboration with business domain experts to drive key value initiatives

Requirements

The role requires a minimum of eight years of experience as a Data Scientist or Data Engineer, with proven expertise in data engineering and cloud computing. Candidates must demonstrate exceptional communication, interpersonal, and technical writing skills, along with strong organizational abilities and the capacity to work both independently and collaboratively. Flexibility to adapt to varying work hours and a client‑focused mindset are also essential.

Technical proficiency includes advanced Python programming, extensive exposure to natural language processing and image‑processing concepts, and hands‑on experience with OCR, machine‑learning model training, and transfer learning. The candidate should be skilled in version control (Git) and have an in‑depth understanding of Azure deployments as well as familiarity with other cloud platforms such as AWS and GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery. Experience with data pipeline tools such as Apache Airflow, PySpark, Databricks, and Snowflake is required.

• Minimum 8 years of Data Scientist/Engineer experience with data engineering and cloud expertise
• Strong communication, interpersonal, and technical writing abilities
• Advanced Python proficiency and experience with NLP and image processing
• Hands‑on OCR, ML model training, and transfer learning skills
• Expertise in version control using Git
• In‑depth knowledge of Azure deployments and familiarity with AWS/GCP services
• Skilled in building data pipelines with Apache Airflow, PySpark, Databricks, and Snowflake
• Ability to design and deploy scalable cloud‑based data architectures
• Experience extracting and processing unstructured data (PDFs, DOCX, images) via OCR and NLP

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance