Data Science Jobs – Across World | BigDataKB.com

At Deloitte, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and society. Whatever your aspirations, Deloitte offers you unrivalled opportunities to realize your full potential. We are always looking for people with the relentless energy to push themselves further, and to find new avenues and unique ways to reach our shared goals.

This is a full-time position as part of the Consulting Analyst Program with a commencement date of 30 May 2022.

Work you’ll do

The Artificial Intelligence & Data team sits within Deloitte Consulting and it leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets

As an Analyst, you will have exposure to a wide range of business services within the Artificial Intelligence & Data team, working with some of the best and brightest people anywhere, on behalf of many of the world’s most influential companies. Depending on your background and interest, you will be placed in either Intelligent Automation (ML/AI), Data Management (Data Engineer / Data Analyst), or Advanced Analytics (Data Scientist).

Your responsibilities as an Analyst include, but are not limited to:

• Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes
• Design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica
• Design and develop data integration using Data Governance, Data Quality, MDM and Metadata management
• Apply analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom
• Ability to recommend BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients

Enough about us, let's talk about you

If you are someone with:

• Strong academic performance in Computer Science, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines with no more than 2 years of professional work experience
• Proficient in at least one programming language (Python, C, Java, etc.)
• Knowledge in Artificial Intelligence and Machine Learning
• Understanding of SDLC Waterfall and Agile Development Methodologies
• Some knowledge of Intelligence Automation software e.g. Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure
• An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm
• General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage
• Demonstrates interest for all the latest technologies, libraries & languages
• Strong analytical skills, excellent oral and written communication skills in English, self-motivated, and able to work in stressful situations with changing priorities
• Drive, tenacity, entrepreneurship, client focused and results oriented. You enjoy working methodically and with a great attention to detail
• Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated

Next Steps

So what are you waiting for? Join the winning team now. Shortlisted candidates will receive an invitation to complete an online assessment powered by HireVue.

Due to volume of applications, we regret only shortlisted candidates will be notified.

We are currently looking to fill in the position of Manager of Artificial Intelligence in our ICT Department, based in Sofia.

Main responsibilities for the position:

• Manages a team of Big Data and RPA Developers to support the proper work of the bank’s Data and intelligence unit;
• Organizes the team schedule, prioritizes ongoing tasks, monitors team capacity and demand;
• Has end-to-end responsibility for the strategic direction of the AI and data driven initiatives on Local and Group Level;
• Responsible for the team Backlog in coordination with Business Process Owners and ongoing Demand;
• Supports technical/technological development for all the managed projects/solutions/services according to the operational plans and guidelines of the D&I Department and company;
• Locally execute Data & Artificial intelligence (AI) strategy; implement and manage local data;
• Understand business process and prioritization – communicate and agree KPI and benchmark definitions;
• Support Data Cleaning and Processing in collaboration with DWH developers and CDO;
• Support Marketing AI initiatives (Communication, analytics and visualization).

Required Qualification:

• University Degree in computer science or related studies;
• At least 2 years of professional experience on a similar position;
• Experience SQL/Python/VBA or alternative BI tool;
• Experience with data models;
• Strong analytical and communication skills;
• Very good command of written and spoken English;
• Very good communicational, analytical, organizational and leadership skills;
• PM/PO Experience will be considered as a plus.

What we offer:

• Christmas salary;
• Fixed payment for summer vacation;
• 25 days holiday leave;
• Holiday leave for birthday;
• Home office;
• Preferential terms of loans;
• Corporate recreational facilities;
• Additional health and life insurance;
• MultiSport cards and fitness centers in our Head offices
• ....and many more.

Link for candidates to apply*: https://careers.unicreditbulbank.bg/public/show/855631

Learn more about Us:

Everyone is constantly looking for the best place to work, a place where their ideas do matter.

At UniCredit we invest in your talent, because our people are our biggest asset, who is contributing to our community with their various experiences, skills and perspectives..

We empower our people to grow by activating their unique potential and investing in their professional and personal development.

You can be part of the horizon we build together, all in an international group where people are much more than just employees and each one meaningfully contributes to our shared future success.

You can fulfil your ambition, to make a difference To do what matters.

Only shortlisted candidates will be invited!

The submission of personal data is voluntary. “UniCredit Bulbank” AD, in its role of data controller, guarantees that appropriate safeguards will be implemented in the processing of your data during the recruitment process and safe-keeping will be in compliance with the provisions of applicable legislation.

Responsibilities

Within delegated authority, the Statistician will be responsible for the following duties:

• Organizes, designs, plans and carries out the collection, evaluation, analysis, compilation and dissemination of statistical data by selecting methods of data collection, selecting and implementing methods for checking collected data, and selecting and implementing appropriate methods for data processing for incorporation into databases.

• Participates in the development, implementation and management of statistical database(s).

• Participates in collaborative projects for the development and testing of new methods and machine learning algorithms using Big Data and non-traditional data sources;

• Contributes to the design and develops data science products to reveal insights and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches;

• Participates in the design and delivery of capacity development activities in statistics and data science, including technical assistance and training;

• Contributes to the development and application of standards for data and metadata exchange for use in different areas of statistics;

• Conducts methodological research, analyze, and present information gathered from various data sources on assigned topics;

• Provides training and technical support on data collection programmes, country practices and other related information.

• Participates in the development or revision of standards on statistical concepts, definitions and classifications by performing methodological research.

• Prepares draft technical documents for international, intergovernmental and expert group meetings and assists in drafting relevant reports.

• Organizes and participates in seminars, working groups and expert meetings as a technical resource person.

• Guides trains and supervises general service staff.

• Performs other duties as assigned.

Education

An advanced university degree (Master’s or Doctorate degree, or equivalent) in statistics, data science, computer science, information management, mathematics, economics, sociology, or related fields is required. A first-level degree (Bachelor’s degree or equivalent) in the specified fields of studies with two additional years of relevant work experience may be accepted in lieu of the advanced university degree.

Work Experience

A minimum of five years of progressively responsible experience in the collection, compilation, analysis and dissemination of statistical data, data science, big data analytics, machine learning, data mining, deep learning or related area is required.

Experience with data science tools such as Matlab, Julia, KNIME and data analysis through Statistical Programming Languages (Python) including libraries (e.g. NLTK and Spacy) is desirable.

Experience in managing large datasets, particularly, unstructured data, is required.

Experience with using data science methods and tools for the production of statistical information and analyses is desirable.

Experience with database management systems, including SQL and MongoDB as well as coding and experience with continuous development using Git, Jenkins, Docker and AzureDevOps is desirable.

Experience with cloud frameworks for the deployment of models and production code development environment (e.g. Azure, AWS) is desirable.

Languages

English and French are the working languages of the United Nations Secretariat. For the position advertised, fluency in either language is required; and knowledge of the other is desirable. Knowledge of another official United Nations language is an advantage.

Assessment

Evaluation of qualified candidates may include an assessment exercise which may be followed by a competency-based interview.

• Lead, mentor, and advise the ML team members.
• Identify the most effective architectures and models to solve complex data problems.
• Research and implement appropriate ML algorithms and tools using deep learning and artificial neural networks.
• Designing AI/ML pipelines.
• Extend existing ML libraries and frameworks.
• The document, summarize and present findings to a group of peers and stakeholders across multiple projects.
  
  

• Bachelor's degree in Statistics, Computer Science, or in an Engineering or Sciences discipline or related degree
• At least 5 years experience in analytics, data science, ML Engineering
• At least 1-2 years of experience leading, mentoring, and developing either Machine Learning, Data Science, or Analytics practitioners.
• Experience with building and deploying a range of deep learning models into production
• Experience with Cloud Services - Amazon Web Services (AWS)
• Highly proficient in ML and Deep learning algorithms with a hands-on project.
• Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
• Extensive Python experience required.
• Experience with Agile tools like Jira.
• Able to communicate technical issues with technical & non-technical stakeholders.
• Ability to quickly prototype ideas and solve complex problems by adapting creative approaches,
  
  

Head of Artificial Intelligence / AI – Computer Vision, Machine Learning, Python, NumPy

Outstanding opportunity to join this rapidly growing startup within the Artificial Intelligence and Machine Learning world focusing on Computer Vision, as a Head of Artificial Intelligence. This organisation is looking for someone to spearhead their technical roadmap and creatively lead the development of their AI based capabilities. You will be establishing and improving their internal process for development from concept to deployment.

You’ll require the following:

• 5+ years of commercial experience in research, developing and deploying machine learning and AI-based products, ideally in the field of Computer Vision
• Strong leadership skills, experience managing at least 5 Engineers
• Experience working and managing in an Agile environment
• A strong technical background with expertise in Python, NumPy, PyTorch & TensorFlow
• Startup or scaleup experience would be beneficial
• Ideally an MSc or Phd in a relevant discipline

Remote (+/- 2 hours of GMT). £90k-£120k + benefits + equity.

General Duties & Responsibilities

 Working across a number of business areas providing development, maintenance and

support

 Working as part of a team and occasionally solo developments as the business needs

arise

 Design, builds, and productionizes ML models to solve business challenges using

Google Cloud technologies and knowledge of proven ML models and techniques.

 Research and implement appropriate ML algorithms and tools

 Design machine learning systems

 Study and transform data science prototypes

 Develop machine learning applications according to requirements

 Select appropriate datasets and data representation methods

 Run machine learning tests and experiments

 Perform statistical analysis and fine-tuning using test results

 Train and retrain systems when necessary

 Extend existing ML libraries and frameworks

 Keep abreast of developments in the field

 Help identify probable causes and provide immediate solution during an incident

 Work within an agile environment following an agile framework.

 Contribute significant ideas for making the applications better and easier to use

 Participate in cutting edge research in artificial intelligence and machine learning

applications.

 Contribute to engineering efforts from planning and organization to execution and

delivery to solve complex, real-world engineering problems.

Skills and Experience

 Research or Industry experience in Artificial Intelligence, Machine Learning (ML) models,

ML infrastructure, Natural Language Processing or Deep Learning.

 Understanding of data structures, data modelling and software architecture

 Automate & orchestrate ML pipelines

 Monitor, optimize, and maintain ML solutions

 Experience in Python programming language and frameworks such as Flask, AIOhttp

 Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like

scikit-learn)

 Ability to work in a team

 Outstanding analytical and problem-solving skills

 Experience in multi-threading, message queues, WebSockets

 Experience with Cloud platforms such as Google cloud platform, AWS would be plus

 Experience with automation of the development and test processes through CI/CD

pipeline (Gitlab, SonarQube, Artifactory, Docker containers)

 Advanced knowledge of SQL queries

 Intermediate knowledge of API development

 Proving track record in building high performance, highly available and scalable systems

Job Qualifications

 Bachelor's degree in Computer Science, or related technical field, or equivalent work

experience.

 3 - 5 years of relevant work experience.

 Experience designing and implementing distributed software systems (e.g Python).

 Research or Industry experience in Artificial Intelligence, Machine Learning (ML) models,

ML infrastructure, Natural Language Processing or Deep Learning.

 Good oral and written English communication skills

 Strong grasp of established and emerging technologies, systems, platforms, and

software

 Ability to organize and manage multiple priorities

 Technical curiosity - Willingness to explore and learn new technologies that are

unfamiliar

 Ability to work in a fast pace delivery oriented environment

 Ability to deliver short term results while invest in long term strategic solutions

 Self-starter, and Self-motivated and able to learn independently

 Team player who is eager to help others to succeed

OrbiSky (www.orbisky.com) believes that secure edge technology is the future of the aerospace industry. We are currently building a team of people that are uniquely qualified to make our goals a reality. And we want you to join us!

Our secure edge intelligence drastically improves the security and data management of space assets. In particular, we use edge computing and AI/ML systems to protect satellites, spacecraft, and ground stations from dangerous cyber attacks. Other threats found in space and on Earth are also detected and mitigated through our satellite edge computing systems. 

More specifically, our product is capable of analyzing massive amounts of data generated in space, in real-time, and can predict a variety of dangers to the same degree as a team of human analysts. For instance, OrbiSky technology spots wildfires, tracks illegal ocean activities, and helps find missing people.

Overall, we want to make space operations and life on Earth more secure, efficient, and capable of revolutionizing our societies, economies, and the way we live. We are working on a hugely exciting opportunity in the AI/ML and Cyber Security domains by doing ground-breaking work to provide fully autonomous security services of space-based systems. 

If this sounds like something that is of interest to you, please apply today. We would love to hear from you!

JUNIOR DATA ENGINEER, DATA ANALYST, DATA SCIENTIST 

We are looking for Junior Data Engineers, Data Analysts, and Data Scientists who work in Python, are capable of designing and implementing Deep Learning models to help users manage, understand, and put their data into context. Data sources include satellites and large quantities of data from partners. As a Data Scientist/Analyst/Engineer within this team, you will be working at the bleeding edge of ML/AI and edge computing. You will be utilizing Edge ML, Deep Learning to develop original and scalable solutions to solve an array of problems.

Responsibilities Include:

• Lead the planning, design, and implementation of the ML projects.
• Follow ML research and apply it to create technologies for space automation.
• Own ML models end-to-end, from collecting training data to deploying in production
• Serve as a mentor to junior team members and a standard-bearer for engineering best practice.
• Manage the collaboration and communications with project stakeholders.

Qualifications:

• Minimum five years of industry experience in Machine Learning or related fields.
• Solid understanding of Math and CS fundamentals related to Machine Learning algorithms.
• Practical experience in modern ML/DL technologies (applying ML research to real-world projects).
• Previous experience in leading multi-person projects and building end-to-end Machine Learning systems.
• Experience with one or more general-purpose languages (Java, C/C++, Python, etc.)
• Team player with strong communication skills.
• MSc or Ph.D. in Computer Science, Machine Learning, Maths, Stats (or related technical field).
• Experience with Machine Learning techniques for supervised, semi-supervised & unsupervised learning e.g. CNNs, DNNs, SVMs & RNNs.
• Strong knowledge of Machine Learning frameworks such as Tensorflow, Pytorch, Keras, etc.
• Signal processing knowledge.
• Knowledge of modern machine learning methods, statistical estimation, time series prediction, and numerical optimization.
• Publications with top-tier Machine Learning conferences.
• Excellent programming skills preferably with Python.
• Experience in Natural Language Processing is a plus.

Although not essential, OrbiSky Systems is particularly interested in applications from individuals with experience in mobile robot platforms, teleoperation, telecoms, autonomous systems, or the space sector.

The closing date for applications is 17th April 2022. Interviews will be held via Zoom by 19th April.

If you would like to continue your exploration of OrbiSky Systems and have the opportunity to speak with our recruiting team, please visit https://orbisky.com/careers.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Please Note: UK, EU, or US citizenship or permanent residency is required for this position. Applications that do not have this declaration will not be reviewed.

Hello,

Meg 2202 is a concept of building a group of passionate engineers and creatives to build mind blowing concepts and prototypes. Let's think this is a non-profit research focused on machine learning and AI. We are looking for individuals who are open to use their free time building projects with us. Our process will be something like, work on a long term machine learning and AI project and host that on our site. This opportunity is best for students in computer science/computer engineering/electrical engineering/math/physics looking for opportunity to get involved and build some creative projects.

Requirements:

• Know at least one object oriented programming language (Java, JavaScript, C, C++, Python, ..)
• Comfortable with team work/projects
• Passionate about making new projects

Location and description: This is not a paid opportunity and there is no time commitment as long as the person attend weekly meetings and work on the project on a timely manner.

IL RUOLO

Grazie alla sua esperienza sul campo, il Business Intelligence Developer si occuperà di Sviluppo dei processi di ETL; Creazione di Dashboards, reportistica e Modelling; Sviluppo di Soluzioni per l’Analisi dei Dati in autonomia e in team.

HARD SKILLS

Buona conoscenza /utilizzo di uno dei seguenti linguaggi/strumenti:

• Stack di SQL Server (DB Engine, SSRS, SSAS, SSIS, PowerBI);

• Strumenti per il machine-learning o Artificial Intelligence quali Python e R.

Plus come: Azure SQL Service, DB SQL Online; PowerBI Online Serviece e Database non relazionali, sono ben accetti.

SOFT SKILLS

• Buone capacità di lavoro in team

• Buone doti relazionali e comunicative

• Ottime capacità di Problem-Solving

• Buone capacità di analisi

MUST- HAVE: Lingua Italiana, almeno livello B2 certificato.

BACKGROUND

Studi in Ingegneria/Matematica/Fisica o affini

(Master in Machine Learning e/o Artificial Intelligence sono un plus ben accetto). Preferibilmente esperienza di almeno 2 anni nel settore.

SU DI NOI

DaisyLabs nasce nel 2003 come azienda di consulenza e tecnologia presso il Polo Tecnologico di Pavia.

 Le nostre caratteristiche principali sono: la concretezza e l’efficacia con la quale operiamo in squadra e con i nostri clienti; il continuo aggiornamento sulle tecnologie a contenuti innovativi.

Il nostro Core Business si basa sulla consulenza in ambito Business Intelligence e Data Analysis. L’efficacia del nostro lavoro è legata alla crescita delle competenze dei nostri clienti, per questo motivo offriamo loro dei progetti che prevedono cicli specifici di training su tecnologie e metodologie di progettazione, realizzazione e manutenzione dei sistemi tenuti dai nostri esperti.

RANGE SALARIALE: 24k -30k

Si offre contratto sia a tempo determinato che indeterminato CCNL Commercio e Servizi.

Orario di lavoro: dalle 9:00 alle 18:00 - Lun/Ven.

Per info e candidature: [email protected]

About us:

360WORK is an AI-Powered recruitment platform for hiring tech talents. We are hiring multiple Machine Learning Engineers at all levels for our clients based in the UK (Hybrid, Remote, On-site). Please visit our website to see other job descriptions: https://360work.com/jobs

About this position:

This is a prime opportunity to join a vibrant and innovative company with offices in Hertfordshire and Sheffield. The company has developed a unique platform that enables ML (Machine Learning) Engineers to create synthetic images and image sequences with advanced, fully accurate annotation data. This is achieved through an automated, behaviour led simulator, that ensures data that is statistically and structurally similar to real world data. This data is used to train AI systems, with a particular focus on human behaviour understanding and recognition.

This role is an excellent opportunity for someone who wants to be involved in real-world AI projects. The successful candidate will get the opportunity to develop skill sets in ML engineering, as well as in sales, marketing and product management. The right candidate will be given the chance to develop their chosen career path and receive on the job guidance to help achieve mutual goals.

Requirements

• Technical degree (engineering, computer science, physics or similar)
• Proficiency in Python (or alternative) for Machine Learning Projects
• Experience using multiple mainstream frameworks such as TensorFlow, Keras and PyTorch
• Excellent verbal and written communication skills
• Proven ability to understand and manipulate datasets
• (Highly desirable) Proven ability to implement and debug computer vision solutions in either industry or an equivalent academic setting

Personality qualities

• Problem solver with a “Can-do” attitude
• Well organised and able to prioritise multiple, simultaneous projects
• Experience presenting results via White Papers, conferences and blogs
• Experience of real-world deployment of ML solutions
• (Bonus) 3D Graphics experience

Location

We have offices in Sheffield and Hertfordshire (15 mins to London by train). Please apply if either of these locations suit you.

Benefits

As well as challenging and rewarding work in a great environment, we offer a competitive package which includes private health care, critical illness, pension contribution and life assurance in addition to other benefits

Link to job advertised on 360WORK: https://360work.com/jobs/send-proposal/474/machine-learning-engineer