AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients.

AceNets marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms.

With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Summary :

We are looking for a Data Scientist who will be part of a specialised customer-facing AI Labs team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice.

They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.

Key Responsibilities :

- Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.

- Ability to communicate complex technical concepts to non-technical stakeholders & effectively transfer industry knowledge to peers.

- Collaborative mindset with cross-functional teams (Product, Engineering, Data Science).

- You will need to be well-spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders.

- Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.

- You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.

Role Requirements And Qualifications :

- Bachelor's or masters degree/PhD in Statistics, computer science, information technology, or a similar field.

- Experience working closely with other data scientists, data engineers software engineers, data managers and business partners.

- Can carry out data analyses to yield actionable business insights.

- Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.

- Applied knowledge of data science tools and approaches across all data lifecycle stages.

- Understanding of underlying mathematical foundations of statistics and machine learning.

- Development experience in one or more object-oriented programming languages (e.g Python, Go, Java, C++).

- Advanced SQL knowledge.

- Knowledge of experimental design and analysis.

- Customer-centric and pragmatic mindset.

- Focus on value delivery and swift execution, while maintaining attention to detail.

- Expertise in atleast one of the following areas :.

1. Classical ML (Supervised/Unsurpervised learning things like regression, clustering,etc.

2. Deep Learning (if any area needed it's likely to be limited to fine-tuning a model, not creating one from scratch).

3. Optimization (linear, non-linear, etc. LLM/RAGs.)

Why Join Us :

- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.

- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.

- Competitive compensation & benefits, ESOPs and international assignments.

- Supportive environment with healthy work-life balance and a focus on employee well-being.

- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How To Apply :

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.