Full Stack Data Scientist
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About Brickendon Consulting
Brickendon is an award-winning transformational consultancy specialising in innovative solutions that solve our clients’ challenges quickly and efficiently.
Focused on three practice areas of digital, data and automation, our aim is to disrupt the market with the latest machine learning, automation, data analytics advisory and programme delivery.
Since inception in London in 2010, Brickendon has rapidly grown and has established additional offices in the Poland, India and Australia. Core to our success is how we foster a culture of innovation and lateral thinking and encourage our people to develop new approaches and techniques.
Our specialist digital arm, Brickendon Digital, focuses on disrupting and challenging the digital landscape with daring, cutting-edge products, including Hybrid-Hero and EUCplus. We use the latest software and techniques to create rapid, technology-led solutions and visionary products to help our clients excel.
We are a member of the Women in Finance charter and are committed to working together to build a balanced and fair industry.
Overview of Initial Assignment
As a Full Stack Data Scientist at Brickendon Consulting, you will be a key member of our multidisciplinary team, combining the expertise of a Data Scientist, ML Ops Engineer, Software Engineer, and Data Engineer. You will work on cutting-edge projects that span the realms of data science, machine learning, software development, and data engineering.
Key Responsibilities
• Data Science: Apply advanced data science techniques to extract valuable insights from structured and unstructured data (text, visual, or audio data). Develop machine learning models to solve complex business problems.
• Machine Learning Operations (MLOps): Implement and maintain ML pipelines, model deployment, and monitoring. Ensure the scalability and reliability of machine learning models in production environments.
• Software Engineering: Design, develop, and maintain the Middle and back-end components of our applications. Proficiency in Python, Django, Flask, Node.js, and related frameworks is essential.
• Front-End Development: Knowledge of React.js and Vue.js for building user-friendly front-end interfaces is a plus. Collaborate with front-end developers to create seamless end-to-end solutions.
• Model Building: Leverage your experience in model building to create innovative solutions that address complex business challenges. Develop and fine-tune machine learning models, including deep learning models, to provide actionable insights and predictions.
• Data Engineering: Understand the intricacies of data storage, extraction, and transformation within various databases, with a focus on MongoDB. Ensure data pipelines are efficient and reliable.
• Machine Learning Libraries: Proficiency in sci-kit-learn is a mandatory requirement for developing and fine-tuning machine learning models.
• MS Power Platforms: Have a strong understanding of MS Power Platforms for data visualization, reporting, and integration within our solutions.
• Database Knowledge: Familiarity with Big Query Enterprise Data Warehouse and Cosmos DB is advantageous, as it complements our database ecosystem.
• Cloud Platforms: Exposure to multiple cloud platforms, including Google Cloud Platform (GCP),
• Amazon Web Services (AWS), and Microsoft Azure, are necessary to ensure seamless deployment and integration of our solutions.
Skills & Requirements
• Bachelor’s or master’s degree in a relevant field (Computer Science, Data Science, etc.).
• Proven experience in data science, machine learning, software development, and data engineering.
• Strong programming skills in Python, and proficiency in Django, Flask, and Node.js.
• Experience with front-end development using React.js and Vue.js.
• Knowledge of MongoDB and other database systems.
• Proficiency in sci-kit-learn and other machine-learning libraries.
• Understanding of MS Power Platforms.
• Familiarity with BigQuery and Cosmos DB is a plus.
• Experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
Submit your application
Show your interest in the position listed above by inputting your details & uploading your resume in the form.
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