Data Science-Manager

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Years of Experience: Candidates with 8+ years of hands on experience

Must Have:

● Proficient in developing strategies for Fintech, Payments, and Ecommerce products and services to enhance market performance and customer experience

● Experienced in financial data analysis, including transaction trends, optimization strategies, and customer engagement metrics

● Skilled in developing algorithms/models for financial processes and improving system efficiency and transaction flow

● Hands-on experience in developing models using Log-Log, Log-Linear, Bayesian Regression algorithms as well as machine learning algorithms, like Random Forest, XGBoost. Also familiar with Unsupervised ML, Ensembles & Deep Learning

● Experience in Data analysis for e.g: data cleansing, standardization and data preparation for the machine learning use cases

● Ability to convert problem statements into actionable solutions to derive business outcomes

● Good communication and presentation skills

● Multi-task and manage deadlines, responsible for incorporating client/user feedback into actionable insights

● Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)

● 4+ years of advanced level programming experience in SQL and Python/Pyspark to guide teams

● Expertise with visualization tools for e.g: Tableau, PowerBI, Hydra etc. and MS applications(PowerPoint, Excel etc.) to analyze and communicate insights effectively

 Nice to have:

● Comprehensive understanding of the financial services industry, including trends, consumer behavior, and digital transaction systems globally

● Experience in applying Large Language Models (LLMs) to enhance customer service automation, fraud detection, and transaction analysis within digital payment systems, utilizing NLP techniques for text-based insights and decision-making

● Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker)

● Working knowledge of containerization (e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)

● Experience with model explainability and interpretability techniques

Professional and Educational Background: 

BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date