Data Science Consultant

E-Solutions; United Kingdom; On-site; GBP 50,000 - 80,000; Full time

Job summary

A technology firm in the United Kingdom is seeking a Data Scientist to solve business challenges using AI. The ideal candidate will have proven experience in AI/ML, a strong understanding of data analytics, and proficiency in programming with Python. This role offers a chance to collaborate on innovative solutions and design scalable AI applications.

Qualifications

• Proven experience as a Data Scientist with a strong track record.
• Experience in building integrated solutions with NLP, Vision, and Predictive Algorithms.
• Understanding of statistical modeling and machine learning algorithms.

Responsibilities

• Analyze raw data for quality assessment, cleansing, and structuring.
• Collaborate with engineering to bring prototypes to production.
• Design accurate and scalable AI solutions.

Skills

Data analytics best practices

Statistical modeling

Machine learning algorithms

Programming in Python

NLP

Cloud computing

Big data technologies

Tools

TensorFlow

PyTorch

scikit-learn

pandas

NumPy

Azure

Docker

Databricks

Spark

Hadoop

Job description

Key responsibilities:

• Using problem-solving mindset to understand business challenges and how to apply AI expertise to solve them.
• Innovation and creativity in data analysis, problem solving and presentation of solutions.
• Collaborate with engineering team to bring analytical prototypes to production.
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing.
• Design accurate and scalable AI solutions.
• Use-case derivation and solution creation from structured/unstructured data.
• Storytelling, Business & stakeholder communication and Documentation.

Required Qualifications:
Proven experience as a Data Scientist, with a strong track record of developing and deploying successful AI/ML models and experience with applying the same to produce high visibility AI solutions / products.

• A strong understanding of data analytics best practices, standards, and guidelines;
• Solid understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and their applications.
• Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms.
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
• Experience with cloud computing platforms (e.g., : Azure, GCP, Databricks, Docker, AzureML, Git)
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus
• Experience in Gen AI Technologies like Generative AI: NLP / others