Job Description

About Neudesic

Passion for technology drives us, but it’s innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.

Role Summary

Neudesic is currently seeking a Senior Consultant - Data Scientist for our Data & AI Practice. This role will report to the Regional Director of Data & AI. The role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must.

To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers.

Requirements:

• 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment
• Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred
• Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows
• Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL; experience with R is a plus
• Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs)
• Demonstrated ability to work with large, complex datasets and relational/cloud-based databases (e.g., Azure SQL, Delta Lake)
• Experience operationalizing ML models and pipelines in production environments

Preferred Qualifications

• Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.)
• Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables)
• Experience with data visualization and BI tools (e.g., Power BI, Tableau)
• Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences
• Strong data storytelling skills and ability to drive insights from exploratory and visual analysis
• Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset
• Demonstrated leadership, relationship-building, and mentoring abilities

More about our Predictive Enterprise Service Line:

The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what’s happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include:

· Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking.

· Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources.

· Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets.

· Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems

Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team’s management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location.

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Neudesic is an Equal Opportunity Employer

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here:

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