Data Scientist

Hertfordshire
£50000 - £60000 per annum + Benefits

DATA SCIENTIST

£50,000 - £60,000 + BENEFITS

HERTFORDSHIRE

THE COMPANY

This large Travel/Hotel brand has just had extensive investment and they are looking for a Data Scientist to deliver actionable and meaningful insights using advanced analytics. This company has a vast amount of data to work through and as a Data Scientist, you will be working to deliver essential insights that will allow the company to continue growing at an impressive rate. Despite COVID, this company is in an outstanding position to be in!

THE ROLE

As a Data Scientist, you can expect to be analysing and interpreting results of both testing and optimisation experiments in a statistical and scientifically sound manor. By collaborating data engineers, you will be making sure that the right data is collected to produce actionable, but more importantly, relevant insights to the business.

More specifically, you can expect to be involved in the following:

  • Identification of opportunities to increase revenue through various optimisations
  • Analysis and interpretation of testing results and optimisation experiments in a statistical and scientific manor using SQL, SAS and ideally some Python or R
  • Using Data Science techniques and methodologies to develop propensity models, RFM segmentations, attribution modeling, campaign ROI
  • Analysis of customer behaviour for the purpose of generating insights and testable hypotheses
  • Identification, design and iterative improvement of workflows and processes
  • Delivering visually appealing dashboards in either Power BI, Tableau or similar

YOUR SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

  • Educated to a degree level with a significant quantitative component (e.g. math, computer science, physics or economics), Master's or PhD desirable
  • Statistical background with knowledge of regressions and hypothesis testing
  • Full proficiency using SQL, coding from scratch as well as SAS
  • Python or R is a bonus but not essential as long as you can build statistical models in SAS
  • Experience using data science techniques for building models for attribution, LTV, segmentations, propensity, churn etc
  • Experience using data visualisation tools such as Power BI, Looker, Tableau etc

THE BENEFITS

The successful Data Scientist will receive a salary between £50,000 and £60,000 with an extensive benefits package. More so, this is a great opportunity to have a huge impact in this companies growth stage. Further to this, it's also a great opportunity to help shape the tech and data strategy for the future of the company.

HOW TO APPLY:

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

Send similar jobs by email
106739/db
Hertfordshire
£50000 - £60000 per annum + Benefits
  1. Permanent
  2. Statistical Analyst

Similar Jobs

Salary

US$145000 - US$155000 per annum

Location

Boston, Massachusetts

Description

Do you have a background leading an Analytics or Data Science team at an eCommerce company and have a strong understanding of machine learning?

Salary

£60000 - £75000 per annum + Benefits

Location

London

Description

Are you looking to work amongst talent individuals in a leading, data-driven classifieds company?

Salary

Negotiable

Location

New York

Description

Do you have strong predictive modeling skills using Python or R and have a background working at either media or tech companies?

Salary

US$120000 - US$140000 per annum

Location

Boston, Massachusetts

Description

Do you have proven experience managing an analytics team and have strong predictive modeling skills using Python or R?

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.

National Storytelling Week: Telling A Story Through Data

A story is a lot more than just words on a page. It’s a combination of interesting language, images, colour and, perhaps most importantly, a brilliant narrator.  This is no different in Data Analytics. Like any story, the beginning of any data report starts out as numbers and figures on a page which, let’s face it, isn’t the most interesting read. To ensure the data reaches its full potential and entices an engaged audience, a good Data Analyst will wind and weave them into a compelling story.  So, how might you go about doing this? Know your audience How your story is crafted will be completely dependent on who will be reading it. It’s important to consider your audience’s age, knowledge and expertise. For example, if you were reporting to a junior team, the information given will be simplified, and specific language and jargon should be broken down to include explanations, making the data accessible. The story may also be a lot longer than usual to ensure all areas of information are covered, with room for questions if need be. This is crucial if you want your data, and your story, to benefit the learning and development of the team as well as to encourage their interest and curiosity in the topic.  On the other hand, if you were telling your data story to a group of expert professionals, the explanations will be a lot more top line and the story much pithier and succinct. The depth should instead lie in the narrative of how the data impacts them and their company, providing solutions to problems or providing compelling ideas for innovation and change.  Choose an engaging narrative Undoubtedly, your data will have thrown up all sorts of storylines, from the mundane to the thrilling. When you’re creating your presentation or report, if the data is relevant, opt to design your story around the most exciting dataset. Your aim is to keep your audience engaged and wanting to know more, not to bore them with too many, or figures that are not relevant or provide further guidance.  Be creative No matter how electrifying your data may be, there's only so much information an individual can take in. Your story needs visuals to bring what you are reporting on to life. Typography, font and font size, colour, images, graphs and tables are all valuable assets to include to help stimulate your audience’s imagination.  Of course, in this day and age, these visuals don’t have to be limited to static pictures either. Don’t be afraid to play around with movement and interactivity to get your audience involved and engaged. That being said, it’s important to find a good balance of static and interactive. Be an appealing narrator If you’re having to present your data, you’ve got an extra challenge on your plate. Your story is only as good as you are. No matter how visually fantastic your report is, or how apt it is for your audience, if you are bored, unengaged and uninterested by the information you are presenting, you will pass all these feelings onto your audience.  Not only is it important you know the story you’re telling inside out, but you should be excited by the data you are presenting. Don’t be afraid to inject personality into your data, make it characteristic and make it feel human. If you are passionate about your data and your story, then your audience will be too.  Data doesn’t just have to be statistics on a page. It can be thrilling, it can be colourful, it can be loud, and it can be enticing. You, as a Data Analyst, are that brilliant narrator.  If you're looking to take the next step in your career or build out your Data & Analytics, 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. 

The Dialogue: The Importance of Location Intelligence

For the latest episode of The Dialogue, Associate Director Talitha Boitel-Gill sat down with Alistair Dickinson from Location Intelligence platform Mapsimise about their platform, CRM in general, and how to get Data Vis to work for you. Here's what we learnt: - Location marketing provides the ability to understand customer Data in much more detail by breaking things down by region and area. - By taking this approach, businesses are able to tailor their marketing in a much more specific way.  - Particularly with local lockdown restrictions in place across the UK, this allows businesses to better plan their local strategies.  - The way Analytics has evolved has meant that Data Vis skills are more important than ever.  - Is is essential that those working in this space are able to create Data Visualisations that allow them to explain findings to non-technical stakeholders in a clear way.  - In particular, the ability to overlay different types of Data can allow a broader understanding of the market.  - CRM systems need to be implemented properly, with good Data, in order to be valuable. Only about 10-15% of businesses do this.  - Businesses need to understand their customers now more than ever, and a strong CRM is a great foundation for this.  - Because the Location Intelligence space is set to grow rapidly, businesses will be looking for more and more insight from specialists in this field.  - There is lots of great Open Source Data available for free. Geoawesomeness provide lots of learning and free materials. The UK Government's Geospatial Commission also provides access to lots of free public Data.  - Those looking to get in to this area don't necessarily need a STEM degree, just a passion for Data and the motivation to upskill in their spare time. - And much, much more.  You can watch the full conversation below. If you're looking for a new opportunity, take a look at our latest roles or get in touch with one of our expert consultants to find out more. 

Recently Viewed jobs