Data Scientist

Avance Consulting; Milton Keynes; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in consulting seeks a skilled Machine Learning Engineer with expertise in AWS services such as SageMaker and Lambda. The ideal candidate will be proficient in OCR technologies and statistical analysis, equipped to translate business requirements into actionable insights. Join a dynamic team focused on innovative data-driven solutions. Flexibility and collaboration are key.

Qualifications

• Hands-on experience with AWS services for machine learning.
• Strong coding skills in Python and related libraries.
• Ability to translate business needs into data solutions.

Responsibilities

• Develop OCR use-cases and document parsing pipelines.
• Collaborate with stakeholders to design KPIs and metrics.
• Work in Agile teams to deliver impactful ML solutions.

Skills

SageMaker

Lambda

Step Functions

S3

Athena

Python

pandas

NumPy

scikit-learn

PyTorch

Hugging Face Transformers

SQL

Tools

Jira

Azure DevOps

Job description

Hands-on experience with SageMaker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS.

OCR Use-Case Development:

Proficiency with Amazon Textract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rules.

Strong coding skills: Using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code.

Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment.

Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights.

Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional teams.

Familiarity with SQL and big data processing tools: e.g., Amazon Athena.

A/B testing, statistical analysis, and performance metrics.

Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR).

Agile Methodologies: Experience working in Agile/Scrum teams using tools like Jira or Azure DevOps.

* Free services are subject to limitations