Data Science & Machine Learning Ops. Enablement Specialist

What you’ll be doing

– your accountabilities
Leads the extraction and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services.
Drives model development, including data exploration, training data, feature extraction, validation and scoring.
Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience.
Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning.
Mentors other Data Science & AI professionals, helping to improve the team’s abilities by acting as a technical resource.
Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.
Design and create analytical data models that deliver value.
Demonstrate the practical use of models and innovate in applying models to deliver value quickly.
Explore and discover data using tools such as Python and SageMaker, and prepare detailed implementation approaches for production.
Act as an AI evangelist, communicating a detailed understanding of how models work and effectively conveying this information to appropriate audiences.
Work collaboratively to achieve consensus and demonstrate value in a team setting.

Experience you’d be expected to have

2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory)

Cloud Platforms - Experience with AWS cloud services for scalable AI & data solutions. (Mandatory)
Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory)
Solid understanding of software architecture, data modeling, and various data structures.
Knowledge of data governance practices to ensure data quality, security, and compliance. 
Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and possesses the capability to develop and implement fair and responsible AI solutions.
Research skills to stay up-to-date with the latest AI trends and continue to learn new techniques.
Excellent communication – the ability to listen and to share ideas clearly to a range of audiences.
Experience in leading, managing and/or coaching others – particularly those in technical roles, whether as a line manager or not. 

Qualifications:

Wide knowledge and up-to-date academic experience, with a focus on the practical application of AI and data science tools.

Strong experience with Python, SageMaker, and other relevant tools.
Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
Proven ability to work collaboratively and achieve consensus within a team.

A FEW POINTS TO NOTE:

Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

DON'T MEET EVERY SINGLE REQUIREMENT?

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.