graduate talent scientist

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science through our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical.
 
 
 We are looking for exceptional people to join our team at the entry level. You will possess a psychology based degree with an exceptional academic track record from high school. You will also bring some relevant experience from the field of talent, from either university coursework relating to talent selection or from an internship or first job in a talent team. In this role you will learn how to implement hiring strategies that result in high performance outcomes of our people and contribute to leading our talent agenda.
 
 
 The suitable candidate will bring an analytical mindset with a high level of curiosity to integrate data to draw insights and outcomes using SQL or Python. You will have the ability to prioritise and deliver work in a fast paced environment with a good level of self motivation and drive to operate in our remote based environment. With a keen interest in the assessment of talent you will demonstrate a passion for understanding human decisions and behaviours. Great communication skills are also key to this role as you will be working closely with senior stakeholders to ensure they stay on track with their hiring targets. Finally, we would like you to bring a passion and interest for technology platforms and automations to help us drive efficiencies in our processes.
 
 
 Location: This role will be based remotely in the EMEA region.
 
 
 The role entails
 
 
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 Learning how to assess candidates using behavioural interview techniques.
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 Gaining a deep appreciation of the use of psychometrics in the workplace.
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 Working on process and documentation efficiencies that fuel our hiring practices.
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 Contributing to projects that drive successful hiring outcomes, many of which require advanced analytics skills to integrate data to draw insights.
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 Building excellent stakeholder relationships to help design and implement solutions to complex problems that ultimately ensure we hire exceptional talent.
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 Gaining a deep understanding of our systems and platforms to problem solve and support on hiring questions.
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 Being at the forefront of ticket support and company channel questions, helping to solve issues as you gain a deep understanding of our processes.
 
 
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 What we are looking for in you
 
 
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 Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject.
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 Advanced analytical ability to dissect and analyse data using SQL, with Python and/or advanced statistical analysis advantageous.
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 Exposure to the topic of talent through university degree coursework, a relevant internship or first job.
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 A passion for working in the technology space with evidence as to why.
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 Results driven with the ability to work at pace, with strong project management skills to roadmap, plan and deliver objectives working with the team.
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 Professional written and spoken English with excellent presentation skills.
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 Drive, ambitious and curiosity to own breakthroughs in the talent field.
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 Ability to travel internationally 2-4 times a year, for company events, occasionally for two weeks.
 
 
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 Nice-to-have skills
 
 
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 Advanced theory of psychometrics
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 A deep understanding of the topic of intrinsic motivation
 
 
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 What we offer colleagues
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
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 Distributed work environment with twice-yearly team sprints in person
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 Personal learning and development budget of USD 2,000 per year
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 Annual compensation review
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 Recognition rewards
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 Annual holiday leave
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 Maternity and paternity leave
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 Employee Assistance Programme
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 Opportunity to travel to new locations to meet colleagues
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 Priority Pass, and travel upgrades for long haul company events
 
 
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 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Graduate Talent Scientist

Adecco

<div>
 
 What We're Looking For
 
 
 
 
 
 ● 5+ years of enterprise B2B sales experience, with a strong track record of opening new accounts and closing complex, high-value deals
 
 
 ● Background in EdTech, L&amp;D, HR technology, or workforce solutions &mdash; you understand how organisations think about talent development, and you know how L&amp;D buying decisions get made
 
 
 ● Suffi cient knowledge of AI and digital technologies to hold credible conversations with technical and business leaders about AI upskilling programs &mdash; you don't need to be a data scientist, but you need to understand the landscape well enough to be a trusted adviser
 
 
 ● Experience managing long, multi-stakeholder sales cycles where you're building a business case as much as closing a deal
 
 
 ● A consultative, problem-fi rst approach to sales &mdash; you're not selling off the shelf, you're designing a solution through dialogue
 
 
 ● An established network in Saudi Arabia across corporate, government, or public sector organisations, or a clear, credible plan to build one
 
 
 ● Fluency in both Arabic and English, written and spoken &mdash; you'll switch between both depending on the client and the room
 
 
 ● Deep familiarity with Salesforce for pipeline management, activity tracking, and forecasting
 
 
 ● Based in Saudi Arabia, with fl exibility to travel within the Kingdom and regionally
 
 
 
 
 
 Interested candidates can share their CVS -
 
 Remya.Raghvan@adecco.com
 
 
</div>

Senior Sales Account Director

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 
 
 
 What You'll Do
 
 
 
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 Lead initiatives to develop and implement strategies for fraud detection and AML.
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 Interact heavily with SME as well as Enterprise clients.
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 Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
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 Plan, research and experiment customized project-based solutions.
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 Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
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 Plan and execute towards the training of ML models then deploying them.
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 Help shape the roadmap for the development of our fraud and AML solutions.
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 Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
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 At least 5 years experience in leading advanced data science projects.
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 A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
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 Strong communication skills to collect insights from clients, share and present findings.
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 Proficient in handling and analysing large datasets using SQL and Python.
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 Hands-on experience in data extraction, visualisation, analysis, and transformation.
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 Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
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 Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
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 Ability to create and manage complex multi-stage data pipelines.
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 Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
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 Proficiency in English language is required and preferably in Arabic languages.
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 Excellent verbal and written communication skills.
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 Excellent problem-solving skills, attention to detail, and adaptability
 
 
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 Benefits
 
 
 
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 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
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 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
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 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
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 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
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 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
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</div>

Senior Data Scientist

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
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 Respect
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 Frankness
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 Passion
 
 
 
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 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :
 
 
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 Identifying relevant data sources for business needs.
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 Processing, cleansing, and Organising data into usable formats.
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 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
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 Apply data mining techniques such as association rule discovery, classification, and clustering
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 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
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 Transform and preprocess raw data to create meaningful features that can improve model performance.
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 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
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 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
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 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
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 Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
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 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
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 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
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 Build conversational AI applications.
 
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
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 + 7 year experience within the data science field.
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 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
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 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
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 Experience working with Agile methodologies
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 Ability to communicate with both technical and non-technical audiences
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 Excellent English and Arabic communication skills (written &amp; spoken)
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 Analytical mindset and Problem-solving skills
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 Alteryx or Dataiku experience is a must
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 MLOps experience is a plus
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 Practical Knowledge of big data systems is a plus
 
 
 
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 Additional Information
 
 
 
 BU: Data Intelligence
 
 
 Senio Level
</div>

Smart Technology Solutions

<div><ul><li>Assist in conducting research on new technologies and industry trends.</li><li>
Support the development and testing of new product prototypes.</li><li>
Collaborate with the R&amp;D team to analyze and document findings.</li><li>
Participate in brainstorming sessions to generate innovative ideas.</li><li>
Help in maintaining laboratory equipment and preparing experiments.</li><li>
Gather and compile data for reports and presentations.</li></ul> 

Requirements 
<ul><li>
Undergraduate or graduate student in Computer Science, Engineering, or related fields.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Good communication skills, both written and verbal.</li><li>
Strong attention to detail and organizational skills.</li></ul> 

Benefits 
<ul><li>
A culture of growth: Many of our leaders started in junior roles &mdash; we believe in investing in our people and growing talent from within.</li><li>
Continuous feedback: We don&rsquo;t wait for annual reviews &mdash; we believe in real-time coaching and development.</li><li>
Supportive &amp; collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.</li><li>
A space for every personality: Love socializing? You&rsquo;ll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We&rsquo;ve got dedicated Focus Rooms perfect for deep work.</li><li>
Flexible work options: Enjoy up to 6 Work from Home days per month &mdash; balance that works for you.</li></ul></div>

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