Lead Data Scientist – Contract
Swindon, Wiltshire / £600 - £800
£600 - £800
Lead Data Scientist - Contract
£600-£800 per day inside IR35
A leading multi-national tech company is looking for a Lead Data Scientist to join the team on a contract basis. As the Lead Data Scientist, you will be responsible for leading data science projects to develop and implement cutting-edge data-driven solutions that drive our business forward.
Role & Responsibilities
- Develop and implement data-driven solutions that drive business growth and improve customer experience
- Lead innovative data science projects to analyse, interpret and visualise complex data sets
- Work with cross-functional teams to identify key business problems and develop data-driven solutions to address them
- Develop and implement machine learning models and algorithms to improve business outcomes
- Communicate complex data science concepts to technical and non-technical stakeholders
Skills & Experience
- Demonstrated experience leading data science projects
- Strong expertise in machine learning, statistical analysis, and predictive modelling
- Advanced proficiency in programming languages such as Python, R, SQL
- Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
£600-£800 per day, inside IR35, Swindon based, 6 month contract
How to Apply
Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page
Data Scientist / Lead Data Scientist / Contract / SQL / Python / Modelling / Machine Learning
Data Engineer Or Software Engineer: What Does Your Business Need? | Harnham US Recruitment post
We are in a time in which what we do with Data matters. Over the last few years, we have seen a rapid rise in the number of Data Scientists and Machine Learning Engineers as businesses look to find deeper insights and improve their strategies. But, without proper access to the right Data that has been processed and massaged, Data Scientists and Machine Learning Engineers would be unable to do their job properly. So who are the people who work in the background and are responsible to make sure all of this works? The quick answer is Data Engineers!… or is it? In reality, there are two similar, yet different profiles who can help help a company achieve their Data-driven goals. Data Engineers When people think of Data Engineers, they think of people who make Data more accessible to others within an organization. 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Software Engineers – DataSimilar to a Data Engineers, Software Engineers – Data ( who I will refer to as Software Data Engineers in this article) also build out Data Pipelines. These individuals might go by different names like Platform or Infrastructure Engineer. They have to be good with SQL and Data Modeling, working with similar technologies such as Spark, AWS, and Hadoop. What separates Software Data Engineers from Data Engineers is the necessity to look at things from a macro-level. They are responsible for building out the cluster manager and scheduler, the distributed cluster system, and implementing code to make things function faster and more efficiently. Software Data Engineers are also better programers. Frequently, they will work in Python, Java, Scala, and more recently, Golang. They also work with DevOps tools such as Docker, Kubernetes, or some sort of CI/CD tool like Jenkins. These skills are critical as Software Data Engineers are constantly testing and deploying new services to make systems more efficient. This is important to understand, especially when incorporating Data Science and Machine Learning teams. If Data Scientists or Machine Learning Engineers do not have a strong Software Engineers in place to build their platforms, the models they build won’t be fully maximized. They also have to be able to scale out systems as their platform grows in order to handle more Data, while finding ways to make improvements. Software Data Engineers will also be looking to work with Data Scientists and Machine Learning Engineers in order to understand the prerequisites of what is needed to support a Machine Learning model. Which is right for your business? 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Although they might be able to do more than a Data Engineer, Software Data Engineers may not be as strong when it comes to the nitty gritty parts of Data Engineering, in particular querying Data and working within a Data Warehouse. It is always a challenge knowing which type of job to recruit for. It is not uncommon to see job posts where companies advertise that they are looking for a Data Engineer, but in reality are looking for a Software Data Engineer or Machine Learning Platform Engineer. In order to bring the right candidates to your door, it is crucial to have an understanding of what responsibilities you are looking to be fulfilled.That’s not to say a Data Engineer can’t work with Docker or Kubernetes. Engineers are working in a time where they need to become proficient with multiple tools and be constantly honing their skills to keep up with the competition. 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The Six Steps Of Data Governance | Harnham Recruitment post
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Data Analytics vs. Data Science: Which Should You Pursue? | Harnham Recruitment post
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