Data Scientist

Belfast, County Antrim
£40000 - £45000 per annum + Yes

Data Scientist

Belfast, Ireland

Data Scientist role just in, join a growing solutions consultancy that is using advanced analytics, Machine Learning, and real life technologies to build Machine Learning models that will have a positive impact.

THE COMPANY

Thi company is looking to continually expand through the experts that join the team, it is very important for the company to work with innovative individuals who would like to help create a sustainable future through ML and DS.

THE ROLE

This role will require you to work on Full Stack Data analysis, you will be required to work on descriptive, predictive and dashboards projects. The aim of this company being to provide insurance solutions and drive business value. Further details of the role are as follows;

  • Improve and build advanced models within ML
  • Explore R&D
  • Work out what can be improved within renewable energy
  • Create algorithms to tackle future problems
  • Improve Data Science platforms
  • Work with forecasting and real time analytics
  • Work on the evolution of existing strategies
  • Work well with stakeholders
  • Communicate conclusions and results effectively
  • Build applications to guide decisions and trading

YOUR SKILLS AND EXPERIENCE

  • Commercial experience
  • Experience applying analytics in data intensive environments such as energy, tech, finance, consumer goods etc
  • Problem solving skills
  • Experience working with large volumes of data, experience with forecasting and time series data
  • A innovative mindset
  • Good verbal and written communication skills
  • BA in AI, ML, DS or quantitative discipline
  • Machine Learning experience
  • Excellent understanding of Data Science

HOW TO APPLY

Please register your interest by sending your CV Charlotte York via the apply link on this page

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67016/CW
Belfast, County Antrim
£40000 - £45000 per annum + Yes
  1. Permanent
  2. Data science

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Is Computer Vision at the Core of the New Normal?

Computer Vision is one of the fastest growing markets in Data & Analytics. While it was on a trajectory prior to the pandemic, the needs we have now have amped up the role Computer Vision plays in our day-to-day lives and businesses who want to keep up or get ahead are paying attention.  Unexpected Businesses Using Computer Vision Some unusual players leaning on these technologies are grocery stores. While some have pivoted to pickup and delivery, others have remained stagnant with yesterday’s shopping habits changed only to individuals in store wearing masks. For those who made the leap to the "new normal", they’re using things like shelf sensors and Machine Learning to automate ordering and determine best placement of a product. Though retail stores are no stranger to video analytics, the rise of Deep Learning and AI offer a more rapid analysis of video for real-time threat assessment. Teaching the machine to watch for crowding, erratic movement, or potential conflict allows for quick reaction or proactive measures to stop a conflict in play. Yet, behind all this Machine Learning and Computer Vision elements are people. Real live humans. And it’s their new normal which is a strong part of the world’s new normal as most everyone shifts and remains online, working remotely. Behaviours are changing and many businesses have differentiated themselves from others by staying ahead of the game.        Five Ways Businesses Are Moving Forward in the New Normal Remote work is here to stay. A jump of 18% of remote working after the pandemic is expected to remain key to many businesses. And nearly three quarters of executives, plan to increase their remote workers. Key components of this new change will be to bring onboard those with strong digital collaboration skills, ability to manage virtually, and reassess how goals and objectives are to be decided. How will businesses keep remote employees engaged, enthused, and feel part of the team when they could be miles or countries apart?Gig Workers as Cost-Saving Measure. As employees move out of office and online, gig workers are a go-to for businesses hoping to move forward and keep costs low. Performance management systems will need to be re-evaluated. After all, if the idea is to keep costs low (read: overhead), then how does the debate about whether or not to offer benefits fit in to the mix?Definitions are Changing. Whether the definition includes ‘critical skills,’ ‘critical role,’ or something similar. What these meant once are changing. Now, the focus is on how to encourage, mentor, or coach employees in professional development skills which can open up a variety of opportunities versus one set path to one set role.Keeping Track Virtually. Though most businesses tend to follow the model of ‘productivity and performance’ over simply hours worked, some organisations passively track their remote workforce. This keeping track can include timeclock software virtually managed to computer usage to monitoring communications. Several benefits of data tracking in this manner could be a boon to HR Managers as it could help to understand employee engagement. But it’s a fine line to traverse.Organisational Redesign Done with Efficiency in Mind. As everything from products to people move online, it’s more important than ever to ensure things like logistics, supply chains, and workflows are designed with efficiency in mind. Computer Vision AI models can help take these systems to the next level as things like grocery shopping, retail, and legacy businesses find their business must go online or pivot in the new normal to survive. In our recently released 2020 Salary Guide we discuss each specialism. What’s working. What isn’t. And how businesses can hire and retain top talent to keep their projects on track and their businesses running smoothly.If you’re interested in Data & Technology, Risk or Digital Analytics, Life Sciences Analytics, Marketing & Insight, or Data Science, check out our current opportunities. Alternatively, you can contact one of our expert consultants if you’d like to learn more. 

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