Job Description
Data Scientist
Consulting firm
London UK
£50k - £60k
About Them
Part of the digital innovation and data division within a leading global consultancy, they create fresh ventures and products for clients in the professional services space. Their efforts are focused on propelling forward exciting and innovative growth opportunities. With the team experiencing significant growth in both size and service offerings in recent years, you'll be at the forefront of shaping this vibrant expansion.
About You
You will serve as a Data Scientist within their growing AI & Data Studio. Responsibilities include contributing to new and ongoing projects, providing actionable insights to clients, and harnessing data to enhance decision-making processes. You'll spearhead data mining endeavours, conduct statistical analyses, implement state-of-the-art machine learning methodologies, and derive insights while constructing predictive models from both structured and unstructured data sets. You will actively participate in the delivery of pivotal data science-driven services and transformation initiatives.
You will be:
- Actively seeking out external structured and unstructured data sets to enrich services and insights.
- Conducting data processing, cleansing, and validation to ensure data integrity for analysis.
- Performing ad-hoc analyses and presenting findings from a business-oriented perspective.
- Developing innovative models for classifying and predicting tax and legal data using cutting-edge machine learning and deep learning methodologies
- Creating, testing, and refining data pipelines for machine learning that are reliable, scalable, and easily deployable, while also continuously monitoring performance.
About You
- Proficiency in machine learning methodologies and algorithms
- Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow
- Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques
- Experience handling unstructured data sets
- Familiarity with software engineering principles and collaborative programming best practices, including version control, testing, and deployment
- Knowledgeable in DevOps/MLOps methodologies and practices, with experience in cloud environments like Google Cloud Platform or Microsoft Azure
- Deep passion for data and analytics
- Proven track record in developing and validating predictive algorithms
- Hands-on expertise in researching and prototyping with cutting-edge technologies such as generative AI
We are committed to helping our clients build diverse teams and we promote & practice inclusive recruiting. All applicants will be considered without discrimination.