Principal Data Scientist
London / £90000 - £100000
£90000 - £100000
Principal Data Scientist
London, hybrid working
Up to £100,000 + competitive bonus & benefits
Join a leading Tier 1 bank that is pushing boundaries in data, not only have they continued to grow and build out further capabilities throughout the recent post-pandemic world, but they have also developed a sustainability-first approach, allowing you to uphold your ethics whilst working in one of few financial services companies that leverages cloud infrastructure. This is a rare opportunity to join a globally renowned bank that puts its employees and customers first, you will receive un-rivaled training opportunities from various technology providers, giving you the chance to define and build out your career, whilst leading a highly-skilled team of data scientists and ML specialists!
You will be responsible for leading the highly accomplished ML Model Development Team, driving further work in Deep Learning/Reinforcement Learning, to further push boundaries across the Bank. You will deliver advanced analytical, Python-based, models from concept through to deployment, with Kafka, and maintenance phase within AWS, including complex statistical, Machine Learning or AI models.
- Utilise your experience to successfully lead the data science model development team, coaching and developing those within the team, managing large-scale projects through the whole lifecycle into deployment whilst showing thought leadership and innovation.
- Design and develop innovative modelling approaches, working with the wider business and analytics teams in order to drive innovation across the business with a data science-first approach.
- Work with software and data engineering teams to instil software best practices, ensuring robust and releasable code to create production-ready models.
KEY SKILLS & REQUIREMENTS
- Experience with the full end-to-end ML Model Development life cycle, deploying models into an AWS environment.
- Exposure in large data-driven organisations.
- Ability to build ML/AI models with Python
Competitive Bonus & Benefits
27 days annual leave
Senior exposure across a fast-growing & renowned business
Unmatched training opportunities
Hybrid working/remote options
HOW TO APPLY
Interested? Please register your interest by submitting your CV directly by applying to this advert.
Data Engineer Or Software Engineer: What Does Your Business Need? | Harnham US Recruitment post
We are in a time in which what we do with Data matters. Over the last few years, we have seen a rapid rise in the number of Data Scientists and Machine Learning Engineers as businesses look to find deeper insights and improve their strategies. But, without proper access to the right Data that has been processed and massaged, Data Scientists and Machine Learning Engineers would be unable to do their job properly. So who are the people who work in the background and are responsible to make sure all of this works? The quick answer is Data Engineers!… or is it? In reality, there are two similar, yet different profiles who can help help a company achieve their Data-driven goals. Data Engineers When people think of Data Engineers, they think of people who make Data more accessible to others within an organization. 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Although they might be able to do more than a Data Engineer, Software Data Engineers may not be as strong when it comes to the nitty gritty parts of Data Engineering, in particular querying Data and working within a Data Warehouse. It is always a challenge knowing which type of job to recruit for. It is not uncommon to see job posts where companies advertise that they are looking for a Data Engineer, but in reality are looking for a Software Data Engineer or Machine Learning Platform Engineer. In order to bring the right candidates to your door, it is crucial to have an understanding of what responsibilities you are looking to be fulfilled.That’s not to say a Data Engineer can’t work with Docker or Kubernetes. Engineers are working in a time where they need to become proficient with multiple tools and be constantly honing their skills to keep up with the competition. However, it is this demand to keep up with the latest tech trends and choices that makes finding the right candidate difficult. Hiring Managers need to identify which skills are essential for the role from the start, and which can be easily picked up on the job. Hiring teams should focus on an individual’s past experience and the projects they have worked on, rather than looking at their previous job titles. If you’re looking to hire a Data Engineer or a Software Data Engineer, or to find a new role in this area, we may be able to help. Take a look at our latest opportunities or get in touch if you have any questions.
The Six Steps Of Data Governance | Harnham Recruitment post
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Data Analytics vs. Data Science: Which Should You Pursue? | Harnham Recruitment post
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