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AceNet Consulting
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Data Scientist

Data Scientist

AceNet Consulting

5 years

0 Lacs

bengaluru karnataka

Posted:9 hours ago| Platform: SimplyHired logo

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Job Description

Experience: 5 to 8 years
Location: Bengaluru, Gurgaon, Pune
Job code: 101391
Posted on: Dec 22, 2025

About Us:
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. AceNet’s 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 master’s 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...) 4.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.

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Data Scientist