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Technical Product Manager, Machine Learning
Salary

US$130000 - US$140000 per annum

Location

Boston, Massachusetts

Description

Do you have product management experience in a SaaS and/or internet environment and have experience leveraging machine learning algorithms/models?

Reference:

00032/GL

Expires on
George Little
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Analytics Manager, Campaign Performance
Salary

US$120000 - US$130000 per annum

Location

Boston, Massachusetts

Description

Do you have proven experience extracting key insights from media mix models and putting together Macros in Microsoft Excel?

Reference:

00031/GL

Expires on
George Little
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Senior Software Engineer - Data Products
Salary

US$170000 - US$220000 per annum + Base Salary

Location

New York

Description

My client is looking for a seasoned Software Engineer in NYC looking to join their Investment Management business - read more below!

Reference:

105065/KK10

Expires on
Kavya Kannan
Kavya Kannan
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Senior Deep Learning Engineer
Salary

US$200000 - US$220000 per annum

Location

Santa Clara, California

Description

One of the global leaders in Technology is looking to add a Senior Deep Learning Engineer to a new division of their company.

Reference:

44191-MR1

Expires on
Mitchell Resor
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Head of Machine Learning
Salary

£90000 - £100000 per annum + Benefits

Location

London

Description

Head of Machine Learning role in the asset management space. Saas product to bring cutting-edge data science to investment companies.

Reference:

VACNm

Expires on
Nick Mandella
Nick Mandella
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Data Scientist
Salary

£60000 - £65000 per annum

Location

Leeds, West Yorkshire

Description

Digital Network Provider in Leeds - Data Science role!

Reference:

VACN2021

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Nick Mandella
Nick Mandella
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Commercial Analyst
Salary

£40000 - £55000 per annum + Bonus + Benefits

Location

London

Description

Brilliant Commercial Analyst position with a market leading company - great training provided!

Reference:

VAC83482/SL

Expires on
Scott Lazarus
Scott Lazarus
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Data Scientist
Salary

£60000 - £65000 per annum

Location

Birmingham, West Midlands

Description

Data Scientist - Birmingham - Telco

Reference:

VACNM1-1-B

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Nick Mandella
Nick Mandella
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Data Scientist
Salary

£60000 - £65000 per annum + Bonus

Location

Cardiff

Description

Data Scientist - Digital Network Provider - Cardiff

Reference:

VACN-C

Expires on
Nick Mandella
Nick Mandella
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Senior Growth Analyst
Salary

£60000 - £65000 per annum

Location

London

Description

This is an opportunity to join an exciting marketplace that sell vintage furniture

Reference:

43532

Expires on
Richard Jones
Richard Jones
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Data Scientist
Salary

£40000 - £45000 per annum + Yes

Location

Belfast, County Antrim

Description

Data Scientist role based in Belfast.

Reference:

67016/CW

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Charlotte York
Charlotte York
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Data Scientist
Salary

£60000 - £65000 per annum + Bonus

Location

Bristol

Description

Data Science - Telco - Bristol

Reference:

VACNM02-B

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Nick Mandella
Nick Mandella
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1279 result(s) found
Results per page 12 24 60

Harnham blog & news

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.

Weekly News Digest: 22nd - 26th Feb 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.  Search Engine Journal: 4 ways call tracking is changing (and why it’s a good thing) Call tracking is no longer about a customer seeing an ad, calling up the company, telling them how much they loved the ad and then deciding to purchase goods. This is a positive thing really because it wasn’t the most effective way for businesses to track how well adverts were doing anyway - who really remembers where they saw a billboard that took their interest, or what time of day an advert popped up on the TV? As call tracking technology becomes more advanced, call analytics have become much more accessible for all. Not only have they been able to transform how businesses of all shape and size advertise and track their success, but also how they market to potential audiences and track their sentiment.  This article from Search Engine Journal looks at the evolution of call tracking and call analytics from its most basic form, how it works now and what the future of this crucial set of analytics will look like in the future.  Read more on this here.  Towards Data Science: Data Science Year Zero Skills or qualifications in Data Science are becoming incredibly sought after by many employers, but the knowledge of how to break into the sector is still a little unclear for potential candidates. In this article by Towards Data Science, they break down the crucial elements of how to successfully enter the industry in four easy steps.  What the author, Bala Vishal, lacked when he started and how you can set off on a better footing.The most important skills and tools to have under your belt.Which skills should you home in on first.How to thrive in the workplace. This incredibly insightful piece should be a ‘must-read’ for any budding Data Scientist looking to break into Data in 2021 and beyond.  Read more here.  KD Nuggets: 10 Statistical Concepts You Should Know for Data Science Interviews This article is perfect for anyone in the Data Science industry. Whether you’re new to the game or looking to take the next step on the career ladder, make sure you brush up on these crucial statistical concepts you should know inside out before entering interview.  A few, in no order, include: Z tests vs T tests An invaluable piece of knowledge that will be used daily if you are involved in any statistical work.Sampling techniques Make sure you’ve got the main five solidified in your knowledge bank - Simple Random, Systematic, Convenience, Cluster, and Stratified sampling.Bayes Theorem/Conditional Probability One of the most popular machine learning algorithms, a must-know in this new era of technology.  Want to know about the other seven? Read more here. Forbes: 48 per cent of Sales Leaders Say Their CRM System Doesn’t Meet Their Needs. The Good News Is That This Is Fixable. This article by Gene Marks explores why teams aren’t happy with their current CRM systems, and how this can be remedied. New research from SugarCRM found: 52 per cent of sales leaders reported that their CRM platform is costing potential revenue opportunities.50 per cent of the companies said they cannot access customer data across marketing, sales and service systems.Nearly one-third complained that their customer data is incomplete, out of date, or inaccurate. While damning statistics, Marks then goes into how this worrying situation can be fixed for good. He says: “Like just about all problems in business, this problem comes down to two factors: time and money. The blunt fact is that most companies are not willing to spend the necessary time or money needed to enable their CRM systems to truly do what they’re designed to do. CRM systems are not just for sales teams. And they're not just for service teams. For a CRM system to be effective, a company must adapt it as its main, collaborative platform.” Read more on this here. We've loved seeing all the news from Data and Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Ross Whatling

Ross Whatling

26. February 2021

News

How Are Data & Analytics Professionals Mapping COVID Trends With Data?

The coronavirus pandemic has impacted industries across the globe. There’s no ignoring that simple fact. This disruption (most notably) caused devastating effects in two strands: to our health and to business operations. As the virus spread, the health and wellbeing of people in society worsened, and businesses felt the strain of projects being placed on hold, and work slowing or completely grinding to a halt. As of the 24th February 2021, the disease has infected more than 112,237,188 people, with 2,487,349 reported deaths. For Data & Analytics professionals, it soon became evident that they could use their skills to help. Using the mass of data available, professionals and researchers turned to big data analytics tools to track and monitor the virus’s spread, along with a variety of trends. Here’s how: Genomics and sequencing Life science is a significant application within Data & Analytics and explores the study of all living things on earth. One particular section of this study looks at the concept of genomic sequencing.  Genomic sequencing is significant as it allows us looks at the entire genetic code of a virus – in this case, COVID-19. Most importantly, the technique means that researchers and analysts can identify dangerous mutations and track movements of specific variants. We know that the UK has the most advanced system for tracing covid variants too. Last year, Britain launched one of the world’s largest coronavirus sequencing projects, by investing £20 million in the Covid-19 Genomics UK consortium. In a group that included NHS researchers, public health agencies, academic partners and the Wellcome Sanger Institute, they set out to map the genetic code of as many strains of the coronavirus as possible. And the buy-in paid off. It took the US approximately 72 days to process and share each genetic sequence, compared with 23 days for UK researchers, according to figures compiled by the Broad Institute with data from Gisaid. Tech giants stepping in Ultimately, your organisation is more agile than you think it is. Regardless of the size of the business, or the industry in which it operates, the sector’s response in applying analysis and data to track the coronavirus was nothing short of miraculous. Google introduced a series of features such as popular times and live busyness, COVID-19 alerts in transit, and COVID checkpoints in driving navigation in order to keep their one billion (and growing) app users safe. They also introduced the COVID layer in Maps, a tool that shows critical information about COVID-19 cases in a given area, allowing their customers  to make informed decisions about where to go and what to do. Apple also released a mobility data trends tool from Apple Maps. This data was shared in order to provide insights to local governments and health authorities so that they could support mapping specific covid trends. These first-hand examples indicate the influence and power of using data to better our understanding of the virus. Before the coronavirus pandemic, professionals, businesses and industries alike worked in siloes. What we have witnessed since has been very much the opposite, as experts quickly came together to begin mapping out data requirements and supporting the world’s focus to improve the public’s health and get businesses back on their feet. Without Data & Analytics, none of this would be possible. If you're looking to take the next step in your career or build out a diverse Data & Analytics team, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Amy Topcakan

Amy Topcakan

25. February 2021

News

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