Data Scientist

About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:
We are seeking a skilled and innovative Data Scientist to join our team and help drive data-informed decision-making across the organization. The ideal candidate will be responsible for collecting, analyzing, and interpreting large and complex datasets to uncover actionable insights and develop predictive models. You will work closely with cross-functional teams to design data-driven solutions that solve real business problems, improve processes, and support strategic initiatives.

Key Responsibilities:
Experience working closely with other data scientists, data engineers software engineers, data managers and business partners.
Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
Can carry out data analyses to yield actionable business insights.
Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough 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. Strong software engineering and ML system design experience.

Role Requirements and Qualifications:
*Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
Strong Python and intermediate SQL skills.
Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design.Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies.Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. Experience with system designs like kNN model, NLP algorithms.A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters.

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.