Data Science Analyst

London
£50000 - £60000 per annum

Data Scientist
Insurance
London
£50,000 - £60,000 + Benefits

THE COMPANY

This is an opportunity to join a leading UK insurer as a Data Scientist in their London office.

The team has grown at a rapid rate over the past 18 months and you will join a team of 25 like-minded individuals. You will work on a range of projects across digital and marketing, using your knowledge of machine learning to help build high-impact products for the business.

There is a great team culture, with regular hackathons, meet-ups and learning opportunities to be had. You will also have 1 day per month dedicated solely to personal learning, where you can choose the project and what you want to do!!

NB - there is also a great new office based in the heart of London's technology district with a start-up feel to it!

THE ROLE

As a Data Scientist you will be:

  • Utilising machine learning techniques to deliver insights
  • Delivering a business critical and high-impact projects for the company from conception through to completion
  • Carrying out existing projects in relation to: customer segmentation, recommender systems, NLP / sentiment analysis and more!
  • 1x day every month to work on your own research and projects

SKILLS AND EXPERTISE

To be considered for this position you must have the following:

  • Hands-on experience with R or Python for machine learning
  • Masters degree or equivalent qualification in a Statistical or numerate degree
  • Experience in delivering effective insights and influencing stakeholders

HOW TO APPLY

To be considered for this exciting opportunity, please submit your details using the Apply button on this page. For more information please contact Nick Mandella at Harnham.

KEYWORDS

R, Python, SQL, Tableau, Machine Learning, SQL, Modelling, Machine Learning, Algorithmic Development, Algorithm, Data Scientist, Data Science, Big Data, Insight, Customer lifetime value models, retention, churn, cross sell, up sell, stakeholder management.

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VACOIH
London
£50000 - £60000 per annum
  1. Permanent
  2. Data science

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Visit our Blogs & News portal or check out our recent posts below.

Harnham's 2019 Salary Guide: The Launch Event

The 2019 Harnham Salary Guides are nearly here. Last night saw a hundred of Data & Analytics' top professionals gather to get their hands on an advanced copy and hear from some of the best in the industry.  With talks from Tom Spencer (Aviva), Mark Ainsworth (Schroders), and Anna Decoudu (118 118 Money), attendees were treated to insights into some of the world's best Data teams.  A huge thank you to everyone who came along, we hope you found the evening as enlightening as we did.  Our UK, US and European Salary Guides will all launch online mid-June. To be one of the first to get your hands on a copy, sign up to our mailing list here. 

The Advantages And Disadvantages Of Computer Vision

The Advantages And Disadvantages Of Computer Vision

“Don’t judge a book by its cover”. We use this adage to remind ourselves to go deeper and to look beyond the superficial exterior. Except, sometimes, we can’t, or won’t. Sometimes, our perceptions are pre-programmed. Think family, peer pressure, and social influences. But what about computers? What do they see? In a digital landscape that demands privacy but needs information, what are the advantages and disadvantages of Computer Vision? The Good: Digital Superpowers  Let’s be clear, Computer Vision is not the same as image recognition, though they are often used interchangeably. Computer Vision is more than looking at pictures, it is closer to a superpower. It can see in the dark, through walls, and over long distances and, in a matter of moments, rifle through massive volumes of information and report back its findings. So, what does this mean? First and foremost, it means Computer Vision can support us in our daily activities and business. It may not seem like it at first glance, but much of what the computer sees is to our advantage. Let’s take a deeper look into the ways we use Computer Vision today. Big Data: From backup cameras on cars to traffic patterns, weather reports to shopping behaviours and everything in between. Everything we do, professional to personal, is being watched, recorded, and used for warning, learning, saving, spending, and social. Geo-Location: Want to know how to get from Point A to Point B? This is where Geo-location comes in. In order to navigate, the satellite must first pinpoint where we are and along the way, it can point out restaurants, shops, and services to ease us on our way.Medical Imaging: X-rays, ultrasounds, catheterisations, MRIs, CAT Scans, even LASIK are already in use. Add telemedicine and the possibilities are endless. The application of these functions will allow faster and more accurate diagnoses and help save lives.Sensors: Motion sensors that only turns a light on when a heat signature is nearby are already saving your home or business money on your electric bill. Now, during a shop visit when you are eyeing an intriguing product, your phone may buzz with a coupon for that very item. Computer Vision sensors are now tracking shopper movements to help optimize your shopping experience.Thermal Imaging: Heat signatures already help humans detect heat or gas and avoid dangerous areas, but soon this function will be integrated into every smart phone. Thermal imaging is no longer used just to catch dangerous environments, it’s used in sport. From determining drug use to statistics and strategy, this is yet another example . The Bad: Privacy Will Forever Change  Google is 20 years old this year. Facebook is 15. Between these two media tech giants, technological advances have ratcheted steadily toward the Catch-22 of both helping our daily lives, whilst exposing our data to our employers, governments, and advertisers. Computer Vision will allow them to see you and what you’re doing in photos and may make decisions based on something you did in your school or university days. We’re already pre-wired to make snap judgements and judge books by their cover, but what will these advancements do to our daily lives? Privacy will change forever.  We document our lives daily with little regard to the privacy settings on our favourite social media apps. GDPR has been a good start, but it’s deigned to protect businesses and create trust from consumers, rather than truly offer privacy. So far, the impact on our privacy has been limited as it still takes such a long time to sift through the amount of data available. However, the time is coming soon, where we’ll need to perhaps think of a privacy regulation businesses, employers, and governments must follow to protect the general population. Fahrenheit 451, 1984, and Animal Farm were once cautionary tales of a far-off future. But Big Brother is already watching and has been for quite some time. Police monitor YouTube videos. Mayors cite tweets to justify their actions. And we, thumb through our phones tagging friends and family without discretion.  Like every new technological advancement there are advantages and disadvantages. As Computer Vision becomes increasingly prevalent, we’ll all need to be aware of the kind of data we supply from to text to image. We can’t go back to the way things were, but we can learn about ourselves through the computer’s lens. And when it comes to computers and their capabilities, don’t judge a book its cover. If you’re interested in Data & Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants for more information. 

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