UPLOAD YOUR CV
We help the best talent in the Digital analytics market to find rewarding careers.
Upload your CV and select your preferred disciplines so we can ensure your CV goes to one of our relevant specialist recruitersSend us your CV
Director of Data Science
$160,000-180,000 + bonus + benefits
This is an opportunity for an innovate Director of Data Scientist to cut their teeth in a data-first environment at one of the fastest growing fintech businesses. You will work in one of United States' most innovative fintech startups where they have designed a unique credit risk and fraud detection platform. They are looking for a Director of Data Science to partner directly with their executive team on problems across the business in analytics, risk and sales. This position will have a high level of visibility and be responsible for technical strategy and direction of the data science team. If you are looking for the chance to take your skills to the next level and work in an environment where your work with produce actionable commercial result - this is the role for you.
As The Director of Data Scientist, you'll find yourself working closely with both Data leaders and engineering teams and will enjoy the pace and innovation that runs through the company culture. For those ready for a start up environment, you'll enjoy the perks of ownership, visibility and agency that this company can offer you as well as the career and personal growth that are rare in this field
As The Director of Data Scientist on this team, you will be asked to be forward thinking in your approach to applying analytical techniques to advancing the departments capacity in credit risk and fraud detection. You will add to their implementation for machine learning for both internal and external projects. With a rich and varied dataset to work from, you'll have the chance to apply your machine learning and algorithmic techniques to expand credit approval through AI and Data Science.
A competitive base salary of $160,000-$180,000 + bonus + benefits
How To Apply
Please register your interest by sending your résumé to Sam Agre via the Apply link on this page.
US$150000 - US$160000 per annum
District of Columbia
This is an opportunity for an Ops engineer to join a fast-growing and innovative tech startup that is looking to solve a complicated and important issue.
US$220000 - US$240000 per annum + bonus and benefits
Looking for a Director of Predictive Analytics to build an analytics organization within a national market leader! Positions reports directly to CFO.
£40000 - £80000 per annum + Bonus (dependent on grade), development
** Data Scientists needed to join data-driven financial services giant ** ** £40,000 - £80,000 // London // Strong academics required ** Apply Below!
US$180000 - US$200000 per annum
This is an opportunity for a leader in the data science space to come into a growing team at a large pharmaceutical company and have a major impact.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
What do you get when you combine Amelia Earhart with Ada Lovelace? A Data Visualization Engineer ready to work with an aviation industry partner. Reaching new heights and shattering the glass ceiling is the modus operandi for many women, and what better role models than the ladies listed. Creative, free-spirited, pioneering, and well before their time in thoughts and action. Ada Lovelace, now attributed as the first computer programmer saw beyond the automatons of her day. She saw beyond the Berullean language in front of her she was translating. A poet father and a passion for numbers collided into her thoughts and as we marvel at AI making art, writing stories and music, and winning strategy games, we have one lady to thank. Ada. She might also be called the first Data Visualization Engineer. Don’t you think? Insightful Business Decisions are Key in Collaboration Data professionals are no longer siloed from other departments in business allowing for collaboration between teams. In partnership between both technical and non-technical employees, businesses can be sure they’re teams have a single vision to help realize business objectives and goals. The collaboration between Ada Lovelace and Charles Babbage may not have been business-related, but the ideas are the same. He passed her the document and asked her to translate, she made notes, and those notes have made history. Together they created a vision for The Analytical Machine – it exists only on paper, but it’s design, layout, and potential implementation are realized in ways unimaginable to most 100 years ago.Ada’s mathematical prowess was such that she wrote her notes in easily explainable language.She worked closely with Charles Babbage and wrote in earnest to work with Michael Farraday – she reached out to others in her field, some accepted, others didn’t. How Data Helps Inform the Future Whether you use predictive modeling, machine learning, natural language processing, or some combination of each, the data you collect helps to inform the future. We may often lament the old adage that those who don’t know their history are doomed to repeat it, but history has a shining light as well. Collaboration across the ages. Consider this. Alan Turing, the man who worked in Bletchley Park with the Enigma machine, used the notes he found to help him solve the problem. Those notes belonged to Ada Lovelace. The information she set to paper informed every stage of computer programming leading to what we know today as Artificial Intelligence. Machines that could learn and ‘think,’ not just the automatons of her age which had been ‘programmed to perform.’ The Enchantress of Numbers Known as the Enchantress of Numbers, the pioneering Ada Lovelace shares the spotlight with other pioneering women in the sciences. Think Madame Curie, Joan Clarke, even Hedy Lamarr, and of course Amelia Earhart. They weren’t of the same eras, but each of their contributions have added to what we know as the Science, Technology, Engineering, and Mathematics (STEM). We have a name for it now, but it’s always been around. And the collaborative efforts of women everywhere are growing and increasing diversity and inclusion in many businesses across the world. And at the heart of it all, in the beginning, a surprising and time-defying collaboration began. It set in motion a spark of business intelligence and insight as men and women mentored and partnered for the sake of their vision of the future. Who will be remembered one hundred years from now? If you’re interested in Big Data, Web Analytics, Marketing & Insight, Life Science Analytics, and more, check out our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
22. October 2020
2020. It sounds like the name of a futuristic science-fiction movie or TV show, doesn’t it? Maybe it is. And like our favorite sci-fi flicks there are cutting edge changes happening in real time. We’re the characters in this story and the Computer Vision and Artificial Intelligence partnerships in healthcare are moving fast to help us take care of ourselves. When computers can see what we can’t. When AI can help us make more informed decisions. When the two are combined to help doctors and providers work more efficiently to save lives, that’s when the cutting-edge shines. From the collaboration of Johns Hopkins, the CDC, and the WHO mapping out the data to contact traces to medical professionals on the front lines, we’ve been focused on one thing. Saving lives. But, what about the other medical issues that affect us? Heart disease. Cancer. Neurological illnesses. What if the latest advances in healthcare could help here, too? Five Ways Computer Vision Helps Healthcare Providers Identifies leading causes of medical illnesses in a time-sensitive manner by creating algorithms for image processing, classification, segmentation, and object detection.Develops deep learning models to create neural networks.Collaboration of teams of scientists working together for the advancement of projects and present findings to business leaders, stakeholders, and clients.Allows providers to spend more time with their patients.Optimization of medical diagnoses using deep learning so doctors can spend more time with patients to help see and solve the problem faster. Computer Vision Engineer Meets AI Professional Artificial Intelligence (AI) offers real world answers in healthcare the world needs today. Computer Vision Engineers build the means to which AI helps providers, patients, and leaders make informed decisions. Core requirements for both roles include, but aren’t limited to: Experience in machine learning and deep learning.How to build computer vision algorithms and probability models.Problem-solving skills, creativity, ingenuity, and innovation.Languages like Python, R, Hadoop, Java, and Spark.Be able to see the big picture while at the same time finding the devil in the details. Always striving to improve, to make better, to advance the technology within the industry. The Challenges and the Potential of Technology in Healthcare At the moment, Computer Vision, AI, and other healthcare technology models are localized to individual placements. The next step is to have these technologies ‘speak’ to each other across hospitals, provider’s offices, telehealth applications, and electronic health records management for a more cohesive benefit of care. As this year rounds to a close, we know the vulnerabilities of our healthcare system, and can find solace in the though that technology is bringing it forward at lightning speed. Automation and telehealth appointments have made it a breeze to talk to our doctors and get results faster. We can pay our bills with the click of a button and even carve out a payment plan, if need be. All without leaving our homes. The data now available to us and our providers offers a foundation, a benchmark of information, so our doctors can make more informed decisions. This data goes beyond the individual, it helps set a precedent for not only individuals, but also entire populations, to help us identify future health issues, epidemics, and pandemics. Stored data is private and stays within its construct of hospital or doctor’s office, but from it we can create models to plan for the future. Want to make your make your mark in the healthcare and tech industry? We may have just the role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
15. October 2020