Data Scientist

This job has now expired please search on the home page to find live IT Jobs.

Data Scientist

London

Up to £55,000 depending on experience + benefits

DV Clearance is a MUST - candidates will be considered without, however preference with those who hold current SC/DV will be given preference

Job description

Required: Security Cleared Data Scientists. This is a fantastic opportunity to enhance your career and develop your skills within key emerging technologies, working for a prestigious organisation. It is a research & development role in its truest form, taking unusual and challenging projects from conception to completion.

Desired Skills and Experience

My client is looking for a data scientist to synthesize and leverage their massive dataset. Establish a method of ensuring "Big Data" is more "useable" to a major Government Body.

This is a unique opportunity to join a multidisciplinary team of creative and passionate individuals destined to change the face of their industry. They are focused on the client's agenda, and work on high-impact projects utilizing big data analytics and machine learning.

They are a lean and experimental team combining science and engineering to identify and inject high-value insights into processes at their point of highest impact. The team works in quick iterations (Agile), using the techniques and algorithms best suited for solving the challenging problems.

What you'll be doing:

You will advocate, evangelize and build data-fuelled products that help the customer. You'll dig in and become an expert on our datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.

You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions. You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.

As our data scientist, you will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.

Who we're looking for:

* You have a Ph.D. or Master's Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. You have a deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

* You're passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. You have a keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you.

* You are expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. You have experience with BI tools such as Tableau and Microstrategy. You're as comfortable with relational databases as you are with Hadoop-based data mining frameworks. You are familiar with SQL, Python, Java and C/C++.

* You desire a fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You're driven to show the world the power of applied analytics.

If you would like to be considered for the above position please get in touch. All applications will be handled in the strictest of confidence. You can reach me on 0161 924 1383 or if you wish to know more.