Harnham
SEARCH
Shortlist

Data Science Consultant - Software Product

London
£60000 - £800000 per annum + bonus + benefits
Apply Save job

Data Science Consultant - Software Product

Up to £80,000 + bonus + healthcare + share options

London / Currently Remote

Are you an experienced data science consultant looking to work for one of Forbe's leading AI start-ups?

THE COMPANY:

As a Data Science Consultant, you will be working for an exciting US AI start-up in their London HQ. This company has developed a unique data product that is unlike anything in the market at the moment and uses large amounts of data to have real-world application and commercial impact.

THE ROLE:

The role of Data Science Consultant involves interacting with clients from large global corporations to understand their data needs and implement this exciting product.

In specific, you can expect to be involved in the following

  • You will be involved in building machine learning models from scratch through to deployment
  • You will be involved in product development and optimization
  • You will be building machine learning prototypes and implementing pilot solutions
  • You will be working closely with clients to understand their data needs and create solutions
  • You will be using both data science and data engineering techniques
  • You will be creating front end presentations

YOUR SKILLS AND EXPERIENCE:

The successful Data Science Consultant will have the following skills and experience:

  • Educated to BSc/ MSc/ PhD level in a STEM degree focused in quantitative methods and statistics (Science, Technology, Engineering, Mathematics etc)
  • Extensive applied commercial experience coding in Python
  • Experience building and deploying ML models from scratch to production
  • Experience using data engineering techniques, as well as machine learning
  • Experience working in a client-facing data science role and excellent communication skills

THE BENEFITS:

The successful Data Science Consultant will receive a salary, dependent on experience be up to £80,000 and benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Francesca Curtis via the Apply link on this page.

Apply Save job
Send similar jobs by email
YNUIUMTRR
London
£60000 - £800000 per annum + bonus + benefits
  1. Permanent
  2. Data science

Similar Jobs

Machine Learning Engineer
Salary

£60000 - £65000 per annum + Benefits

Location

Cambridge, Cambridgeshire

Description

ML Engineer, Cambridge, United Kingdom.

ADD TO SHORTLIST
Lead Data Scientist
Salary

£80000 - £100000 per annum

Location

London

Description

This is an exciting new opportunity for a Senior / Principal Data Scientist to take their next step up working for a successful, data-driven finance company!

ADD TO SHORTLIST
Data Scientist
Salary

£60000 - £65000 per annum + Bonus

Location

Cardiff

Description

Data Scientist - Digital Network Provider - Cardiff

ADD TO SHORTLIST
Head of Machine Learning
Salary

£95000 - £100000 per annum

Location

London

Description

Head of Machine Learning in the asset management space - bringing cutting-edge data science to help investors make smarter decisions around the globe.

ADD TO SHORTLIST

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.

What’s Keeping Women Out Of Data Science?

Data Science, the extraction of data to provide meaningful knowledge and insight, is experiencing a surge in growth within Data & Analytics. It is a fast-growing specialism, and talent in this area is in demand, with there being a 650 per cent increase in data science jobs since 2012. Simply put, pretty soon Data Science is going to play a fundamental role in every industry across the globe. Organisations have to adapt and make use of a range of Data Science tools and techniques or they will simply be forced out of business. LinkedIn recognised in their Emerging Jobs report that the role of a Data Scientist sits in the top three in the US, citing significant advancements in the emphasis on using data for this growth. Comparatively in the UK, this role lands within the top 10 at number seven.  Yet, our research tells us that in the UK, 25 per cent of female professionals work within Data Science, with this number dipping to just 20 per cent in the US. So, how can we support more women to enter the specialism? Encourage access to opportunities  Organisations need to continue to hire highly skilled technical talent to keep up with the growth that we are witnessing in the Data Science specialism. Yet, time and time again, working in Data Science can be seen to be an unattractive career proposition – in particular to women. To counteract this, business leaders need to make the role and rewards of becoming a Data Scientist visible within their organisation. Showcasing the range of projects and campaigns that are available, as well as providing opportunities for women to accelerate their careers and follow a pathway that suits them is critical. Education of STEM roles from a young age In order to see more women moving into roles within Data Science, industry leaders from within STEM fields need to take control and lead the way in educating women on the array of opportunities available. Through supporting, organising or hosting workshops, webinars and conferences, organisations can introduce women at entry-level to what careers in Data Science actually look like. This week for example in the UK, we’re currently in the middle of British Science Week. It is initiatives like these that build upon the education that is needed to promote roles in technical fields. Building up communities In the past year, we’ve all come to rely on our connections to provide insight and support during this period of uncertainty and change. This should be a continued focus moving forwards, building communities, networking and sharing knowledge in order to create an informed, educated and engaged workforce that attracts (and retains) female professionals. Within female-focused networks and groups, organisations can support women in advancing their careers, advocating for themselves and acting as a platform to showcase the opportunities that are available to women looking to move into a role in Data & Analytics. The consequence of ignoring these actions is a lack of diversity. We know that diverse teams perform better, and so welcoming in and making the Data Science specialism an attractive career consideration for women is critical. As the industry continues to advance and demand for skilled professionals grows, there will be plenty of opportunity for top talent to make their mark. 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. 

Francesca Curtis

Francesca Curtis

11. March 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

Recently Viewed jobs