Cyber Defense Operations (CDO) Analyst is required by a leading technology company for a 6 month Inside IR35 contract. The incoming Analyst will be reponsible the identification and mitigation of Cyber threats using the Microsoft suite of Cyber tools including Sentinel, Defender, Threat Explorer and Advanced Hunting. The successful candidate must also demonstrate experience in managing cyber incidents. The role represents an exciting opportunity for an experienced Cyber professional to join major player in the technology and communications industry.

CDO Analyst (Inside IR35, Hybrid)

<div class="scheme-content scheme-margin scheme-task"><div class="content_text"><h3 style="text-align: center;">Data Science Manager</h3>Location: Berlin (1-2 days per week)Language: C-level GermanSalary: €130,000 + Benefits<h3>The company</h3>As an owner-managed fashion company with over 1,200 stores in 47 countries worldwide, the client combines the flat hierarchies of a family business with the internationality of a large corporation. Short decision-making processes and plenty of scope for your own ideas create a unique working environment in which you can put your talent to good use. With a team of around 23,000 employees, they work with the pulse of the times and value friendly cooperation. <h3>THAT'S THE JOB</h3><ul><li>You are responsible for the implementation of data science projects that have a significant impact on the company's success and ensure a suitable architecture, from the data paths to the operationalization of the models</li><li>You will take over the disciplinary and technical management of a team consisting of data scientists and will be in direct contact with our department management at the headquarters in Braunschweig</li><li>You maintain an independent exchange and cooperation with other departments and translate departmental requirements into technical requirements</li><li>You present the project results convincingly to the management</li><li>You make key recruiting decisions for the team and are responsible for personnel planning</li><li>You promote a performance culture based on value creation for your team and continuously improve the efficiency of the entire team through mentoring and further development</li><li>You find the right balance between technical perfection and project progress</li><li>You skillfully give critical and constructive feedback on difficult topics in all directions</li><li>Under your leadership, the team achieves project goals in a targeted and efficient manner</li></ul></div></div><div class="scheme-content scheme-margin scheme-profile"><div class="content_text"><h3>Your experience: </h3><ul><li>Successfully completed degree in mathematics, statistics, computer science, physics or a comparable course of study</li><li>At least 7 years of professional experience in the DS environment (with at least 3 years of practical experience as a data scientist) and proven success in managing employees</li><li>As a manager, you are able to make difficult decisions and take responsibility for them</li><li>You have the ability to manage larger projects and can quickly familiarize yourself with complex projects and subject areas</li><li>Excellent knowledge of Python, Git, the Linux command line and ideally also Spark and Kubernetes</li><li>Concrete experience in using open source machine learning libraries such as scikit-learn, PyTorch, as well as tools such as Jupyter and Pandas, Spark, Hadoop and SQL as well as the use of modern software development methods</li><li>You can break down complex requirements and projects into understandable tasks for the team, prioritize them and never lose sight of the company goals</li><li>You are interested in the research and computer science aspects of data science, as well as in new research results in the field of data science and the willingness to learn new things</li><li>It is a matter close to your heart to remove obstacles for your team and to accompany them in the continuous improvement process</li><li>You are characterized by strong communication skills, structured work and a strong hands-on mentality</li><li>Analytical thinking and assertiveness are your strengths, as well as a healthy understanding of service and a high level of commitment</li><li>You are fluent in written and spoken German and English</li></ul></div></div>

Data Science Manager - Berlin - €130K - Retail

<div class="job-preview__description ">Senior Data Scientistx3 days a week in office Xcede are delighted to be working with one of the most exciting Fintech's in Europe. The organisation has over 3 million customers using their Products every day, and Data is at the very core of their offering. The Head of Data is a former Machine Learning Engineer / Full-Stack Data Scientist who has helped build some incredible teams in the past, and they're currently in the process of doing the same again.The company are now looking to onboard another Senior Data Scientist who ideally has commercial experience when it comes to building Recommender Systems. For Product relatability purposes, it would be fantastic if someone has a background in dealing with Risk modelling for financial products, too. Responsibilities <ul><li>Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value.</li><li>Build relevant statistical / machine learning models related to said projects.</li><li>Build RecSys / Recommendation Engines / Recommender Systems</li><li>Contribute to the AB testing framework for this huge organisation from day one.</li><li>Communicate findings effectively to stakeholders to encourage adoption.</li><li>Find brilliant new ways of tackling their problems - innovation will be a key part of the job.</li></ul> Requirements <ul><li>A relatable STEM / Computer Science degree (ideally MSc and above but all backgrounds considered).</li><li>Excellent Python &amp; SQL skills.</li><li>Strong Machine Learning &amp; Statistical knowledge</li><li>Commercial Recommendation Engine experience</li><li>Commercial A/B testing experience</li><li>Software Development best practice approach (CI/CD experience, etc.)</li><li>A bonus would be any work around financial risk modelling, loans, etc.</li></ul> If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review). </div>

Senior Data Scientist

<div class="job-preview__description ">Senior Data EngineerX2 days a month in office (Surrey) Xcede are delighted to be working with an incredibly data-rich organisation with over 3 million customers in the UK using their products. The company have a very established Data division headed up by well-regarded CDO who comes from a 'hands on' Data Science background. The Data Unit is filled with experienced Data Scientists, Analyst, Machine Learning Engineers, LLM specialists, and Data Engineers. We're now actively recruiting for another Senior Data Engineer to join their team. The perfect Senior Data Engineer will love building great Software as much as they do exploring &amp; managing data. The company adhere to Software Engineering best practices and will expect any new joiners to do the same. Alongside the huge swathe of batch data that they work with, the team also have a clear business opportunity to work on real-time / streaming projects. Responsibilities <ul><li>Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives.</li></ul> <ul><li>Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards</li></ul> <ul><li>Deploy and manage products using CI/CD best practices</li></ul> <ul><li>Work in partnership with Analytical stakeholders from a huge variety of business projects and help to diagnose issues.</li></ul> Requirements <ul><li>Ideally a strong degree in computer science or a relevant area.</li><li>Excellent coding skills specifically in Python.</li><li>Very desirable commercial technical experience with tools such as Spark, Databricks, Airflow, Docker etc</li><li>Commercial Containerisation &amp; Infrastructure as code experience</li><li>Previous work in a CI/CD environment</li><li>AWS is the preferred cloud platform - Azure and/or GCP will be considered.</li></ul> If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).</div>

Data Scientist

​Since setting up Xcede's Data Science and Data Engineering Recruitment offering from scratch back in 2013, Niall has earned nearly a decade of experience recruiting in this specialist area of the data space. Alongside his colleague Matthew, Niall was one of the first UK recruiters to place Data Science roles and has witnessed the industry evolve from the ground up. Being one of the first recruiters in the UK to focus on this arena of Data, Niall has played a key role in curating Xcede’s industry-leading events in the data recruiting space. Niall consults for roles at each level from Associate through to Director, for a range of jobs including Senior Data Scientist and Head of Analytics to Machine Learning Engineer and Big Data Architect and beyond. He has since been promoted to Associate Director.​

Data Scientist

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Niall Wharton

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