At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 18, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Manager, Digital Forensics & Incident Response (DFIR) Are you a Cyber Security professional with experience in Digital Forensic and Incident response? Are you looking for tremendous exposure to a wide range of different cases and technologies, to be recognised for your accomplishments, while making a real impact? If yes, we would love to hear from you! Aon are recruiting for a Manager - DFIR to join our team. This is a hybrid role, meaning the flexibility to work from home and in our London office. If this sounds like you, but perhaps the commute is too far- please still get in touch! Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organisation, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. What the day will look like As Manager, you are expected to bring extensive experience in the cybersecurity industry to bear on your casework. You will work at the direction of a Director or Managing Director in the unit to scope, coordinate, and provide peerless service on client cases which might require analysis of any technology used today: mobile devices, laptops and workstations, servers, networking switches, IoT devices, or cloud-based accounts and infrastructure. You will be expected to perform daily tasks associated with cyber breach response and investigations. As Manager, you are responsible for augmenting and strengthening your personal DFIR skill set, as well as helping develop the skills of the entire DFIR team. Support the most complex forensic analyses handled by the firm. Investigate network intrusions and other cybersecurity incidents to determine the cause and extent of the breach. Includes ability to perform host-based and network-based analysis across all major operating systems and network device platforms. Preserve, harvest and analyse data from electronic data sources, including laptop and desktop computers, servers, and mobile devices. Produce high-quality oral and written work product, presenting complex technical matters clearly and concisely. Form and articulate expert opinions based on analysis. Possess the experience, credibility, and integrity to perform as an expert witness. Consult with and take direction from supervisors, engagement managers, and clients regarding case investigation and status. Support the mentorship and technical development of junior Digital Forensics staff. Investigate instances of malicious code and documents to determine attack vectors and payloads. Develop and refine policies and procedures for forensic and malware analyses. Research, develop, and recommend hardware and software needed for incident response and help develop and maintain policies and procedures to analyse digital evidence. Participate in technical meetings and working groups to address issues related to cybersecurity and incident preparedness and ability to create targeted remediation plans for clients who have been compromised. How this opportunity is different We are the only team in the market that has the scope and breadth of services to offer clients in any area of the cyber life cycle. If you want to work on some of the highest profile and complex cases out there, we are that first responder. With teams in our state of the art DFIR labs, as well as virtual, your work will vary from day to day responding to breaches, nation state attacks, ransomware, just to name a few. The team works closely together to ensure learning, growth and career development. And we invest in you, in the form of mentorship and training budgets to attend security training and conferences. Skills and experience that will lead to success Digital forensics / incident response certification(s) such as SANS certifications (GCFA, GCIH etc), CREST certifications (CPIA, CRIA etc.), or equivalent. Deep experience with most common operating systems (Windows, macOS, Linux, iOS, Android) and their file systems (ext3/4, HFS+, APFS, NTFS, exFAT, etc.). Proficiency with industry-standard DFIR toolsets, such as X-Ways, EnCase, Axiom, Cellebrite, FTK and Volatility. Proficiency with database querying and analysis. Experience with cloud infrastructures for the enterprise, such as Amazon Web Services, G Suite, Office 365, and Azure. Experience with conducting log analysis of large datasets. Experience with command line tools (grep, sed, awk, python, and other programming languages. Familiarity with computer system hardware and software installation and troubleshooting. Well-developed analytic, qualitative, and quantitative reasoning skills and demonstrated creative problem-solving abilities. Proficiency with MS Office Applications, and familiarity with Windows, Macintosh and Linux operating systems. Preferred Experience Strong work ethic and motivation, with a demonstrated history of ability to lead a team and develop talent. Even stronger analytic, quantitative, and creative problem-solving abilities.Interest in building intellectual capital for the firm by writing blogs and creating internal tools for analysis.Ability to anticipate and respond to changing priorities and operate effectively in a dynamic, demand-based environment, requiring flexibility and responsiveness to client matters and needs.Strong verbal and written communication skills.Must be able to work collaboratively across departments and physical locations.Participation in technical meetings and working groups to address issues related to malware security, vulnerabilities, and issues of cybersecurity and preparedness.A high level of professionalism in all areas of performance.A constantly developed DFIR skill set, and proficiency with industry standard tools and practices, through outside training and research.Comfort with interm
May 17, 2024
Full time
Manager, Digital Forensics & Incident Response (DFIR) Are you a Cyber Security professional with experience in Digital Forensic and Incident response? Are you looking for tremendous exposure to a wide range of different cases and technologies, to be recognised for your accomplishments, while making a real impact? If yes, we would love to hear from you! Aon are recruiting for a Manager - DFIR to join our team. This is a hybrid role, meaning the flexibility to work from home and in our London office. If this sounds like you, but perhaps the commute is too far- please still get in touch! Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organisation, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. What the day will look like As Manager, you are expected to bring extensive experience in the cybersecurity industry to bear on your casework. You will work at the direction of a Director or Managing Director in the unit to scope, coordinate, and provide peerless service on client cases which might require analysis of any technology used today: mobile devices, laptops and workstations, servers, networking switches, IoT devices, or cloud-based accounts and infrastructure. You will be expected to perform daily tasks associated with cyber breach response and investigations. As Manager, you are responsible for augmenting and strengthening your personal DFIR skill set, as well as helping develop the skills of the entire DFIR team. Support the most complex forensic analyses handled by the firm. Investigate network intrusions and other cybersecurity incidents to determine the cause and extent of the breach. Includes ability to perform host-based and network-based analysis across all major operating systems and network device platforms. Preserve, harvest and analyse data from electronic data sources, including laptop and desktop computers, servers, and mobile devices. Produce high-quality oral and written work product, presenting complex technical matters clearly and concisely. Form and articulate expert opinions based on analysis. Possess the experience, credibility, and integrity to perform as an expert witness. Consult with and take direction from supervisors, engagement managers, and clients regarding case investigation and status. Support the mentorship and technical development of junior Digital Forensics staff. Investigate instances of malicious code and documents to determine attack vectors and payloads. Develop and refine policies and procedures for forensic and malware analyses. Research, develop, and recommend hardware and software needed for incident response and help develop and maintain policies and procedures to analyse digital evidence. Participate in technical meetings and working groups to address issues related to cybersecurity and incident preparedness and ability to create targeted remediation plans for clients who have been compromised. How this opportunity is different We are the only team in the market that has the scope and breadth of services to offer clients in any area of the cyber life cycle. If you want to work on some of the highest profile and complex cases out there, we are that first responder. With teams in our state of the art DFIR labs, as well as virtual, your work will vary from day to day responding to breaches, nation state attacks, ransomware, just to name a few. The team works closely together to ensure learning, growth and career development. And we invest in you, in the form of mentorship and training budgets to attend security training and conferences. Skills and experience that will lead to success Digital forensics / incident response certification(s) such as SANS certifications (GCFA, GCIH etc), CREST certifications (CPIA, CRIA etc.), or equivalent. Deep experience with most common operating systems (Windows, macOS, Linux, iOS, Android) and their file systems (ext3/4, HFS+, APFS, NTFS, exFAT, etc.). Proficiency with industry-standard DFIR toolsets, such as X-Ways, EnCase, Axiom, Cellebrite, FTK and Volatility. Proficiency with database querying and analysis. Experience with cloud infrastructures for the enterprise, such as Amazon Web Services, G Suite, Office 365, and Azure. Experience with conducting log analysis of large datasets. Experience with command line tools (grep, sed, awk, python, and other programming languages. Familiarity with computer system hardware and software installation and troubleshooting. Well-developed analytic, qualitative, and quantitative reasoning skills and demonstrated creative problem-solving abilities. Proficiency with MS Office Applications, and familiarity with Windows, Macintosh and Linux operating systems. Preferred Experience Strong work ethic and motivation, with a demonstrated history of ability to lead a team and develop talent. Even stronger analytic, quantitative, and creative problem-solving abilities.Interest in building intellectual capital for the firm by writing blogs and creating internal tools for analysis.Ability to anticipate and respond to changing priorities and operate effectively in a dynamic, demand-based environment, requiring flexibility and responsiveness to client matters and needs.Strong verbal and written communication skills.Must be able to work collaboratively across departments and physical locations.Participation in technical meetings and working groups to address issues related to malware security, vulnerabilities, and issues of cybersecurity and preparedness.A high level of professionalism in all areas of performance.A constantly developed DFIR skill set, and proficiency with industry standard tools and practices, through outside training and research.Comfort with interm
Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute to HQ in London, Chiswick 1-2 times per week. Our Perks Values-driven culture - we're really proud of our culture. Drive your own experience Personalised Learning and Development Budget Hybrid working hours - Each team has their own Smart Working Charter that empowers you to do your work in the best way you can Technology - Your choice of Mac or Windows Empowering you to be your most authentic self 25 Holiday Days + your local bank holidays 1 Birthday day - it only happens once a year! 3 So Giving Days - spend these days giving back to your chosen cause Religious Celebrations Leave Mental Healthcare - Unlimited sessions with Unmind Enhanced Family Leave So Energy So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 350,000 customers and over 450 Energists (what we call our people). We're not done yet. We are on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer-centric, tech-led, and passionate about sustainability. We want to do the best we can for our customers, each other, and our planet, so we've created a workplace that's encouraging, supportive, and offers the opportunity for growth. As a company, we live by six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable The Role Senior Data Analyst at SO ENERGY Reporting into Nethin Maharaj, our Business Intelligence Manager here at So Energy , we are seeking an experienced and highly skilled Senior Data Analyst to join our data analytics team. As a Senior Data Analyst at So Energy you will play a pivotal role in leveraging data to drive strategic decisions and solve complex challenges for the business. We are looking for a candidate with advanced SQL and Python skills who has a track record of successfully delivering analytical insights to the business. If you are passionate about transforming data into actionable insights and possess excellent soft skills to engage with stakeholders, we invite you to apply and become a key member of our dynamic team. What you'll be getting up to: Utilize advanced SQL and Python skills to extract, clean, and analyse complex datasets, providing meaningful insights. Lead data-driven projects, from defining objectives and methodologies to presenting findings and recommendations. Collaborate with cross-functional teams to understand business needs, develop analytical solutions, and drive data-driven decision-making. Design and document curated Data Warehouse tables to be handed to our Data Engineering team for implementation. Define metrics that are suited to business monitoring at various levels. Mentor and provide guidance to junior data analysts in the team. Create clear and compelling data visualizations and reports to communicate insights to stakeholders at all levels. Support the business in ad-hoc data analysis and data supply covering auditing, marketing campaigns and customer segmentation. Input and guide on new standards to improve our delivery of dashboards, reports, and insights. Stay updated with industry trends and emerging technologies in data analysis and data science. Contribute as part of an agile team with sprint planning sessions and daily stand ups. Communicate status, blockers, and progress in a clear and concise manner. This role will be a great fit if you have: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience; Master's degree preferred. Proven experience (5+ years) as a Data Analyst or similar role with a strong focus on advanced SQL and Python skills. Experience within the Energy Supply Industry will be favourable. Data Warehouse design experience using industry methodologies will be highly favourable. Demonstrated experience in delivering complex data projects, with a portfolio showcasing your work. Proficiency in data visualization tools (e.g., Looker, Power BI) Strong problem-solving skills and the ability to work with large, messy datasets to extract valuable insights. Excellent communication skills, both written and verbal, with the ability to convey complex findings to non-technical stakeholders. Exceptional project management skills, with the ability to drive projects from inception to completion. Strong analytical and critical-thinking abilities with a keen attention to detail. A proactive and collaborative attitude, with the ability to work effectively in a team-oriented environment.
May 17, 2024
Full time
Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute to HQ in London, Chiswick 1-2 times per week. Our Perks Values-driven culture - we're really proud of our culture. Drive your own experience Personalised Learning and Development Budget Hybrid working hours - Each team has their own Smart Working Charter that empowers you to do your work in the best way you can Technology - Your choice of Mac or Windows Empowering you to be your most authentic self 25 Holiday Days + your local bank holidays 1 Birthday day - it only happens once a year! 3 So Giving Days - spend these days giving back to your chosen cause Religious Celebrations Leave Mental Healthcare - Unlimited sessions with Unmind Enhanced Family Leave So Energy So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 350,000 customers and over 450 Energists (what we call our people). We're not done yet. We are on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer-centric, tech-led, and passionate about sustainability. We want to do the best we can for our customers, each other, and our planet, so we've created a workplace that's encouraging, supportive, and offers the opportunity for growth. As a company, we live by six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable The Role Senior Data Analyst at SO ENERGY Reporting into Nethin Maharaj, our Business Intelligence Manager here at So Energy , we are seeking an experienced and highly skilled Senior Data Analyst to join our data analytics team. As a Senior Data Analyst at So Energy you will play a pivotal role in leveraging data to drive strategic decisions and solve complex challenges for the business. We are looking for a candidate with advanced SQL and Python skills who has a track record of successfully delivering analytical insights to the business. If you are passionate about transforming data into actionable insights and possess excellent soft skills to engage with stakeholders, we invite you to apply and become a key member of our dynamic team. What you'll be getting up to: Utilize advanced SQL and Python skills to extract, clean, and analyse complex datasets, providing meaningful insights. Lead data-driven projects, from defining objectives and methodologies to presenting findings and recommendations. Collaborate with cross-functional teams to understand business needs, develop analytical solutions, and drive data-driven decision-making. Design and document curated Data Warehouse tables to be handed to our Data Engineering team for implementation. Define metrics that are suited to business monitoring at various levels. Mentor and provide guidance to junior data analysts in the team. Create clear and compelling data visualizations and reports to communicate insights to stakeholders at all levels. Support the business in ad-hoc data analysis and data supply covering auditing, marketing campaigns and customer segmentation. Input and guide on new standards to improve our delivery of dashboards, reports, and insights. Stay updated with industry trends and emerging technologies in data analysis and data science. Contribute as part of an agile team with sprint planning sessions and daily stand ups. Communicate status, blockers, and progress in a clear and concise manner. This role will be a great fit if you have: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience; Master's degree preferred. Proven experience (5+ years) as a Data Analyst or similar role with a strong focus on advanced SQL and Python skills. Experience within the Energy Supply Industry will be favourable. Data Warehouse design experience using industry methodologies will be highly favourable. Demonstrated experience in delivering complex data projects, with a portfolio showcasing your work. Proficiency in data visualization tools (e.g., Looker, Power BI) Strong problem-solving skills and the ability to work with large, messy datasets to extract valuable insights. Excellent communication skills, both written and verbal, with the ability to convey complex findings to non-technical stakeholders. Exceptional project management skills, with the ability to drive projects from inception to completion. Strong analytical and critical-thinking abilities with a keen attention to detail. A proactive and collaborative attitude, with the ability to work effectively in a team-oriented environment.
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
May 15, 2024
Full time
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 14, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Job Introduction Media Distribution Analytics is the BBC's team that knows what your streaming experience was while watching Wimbledon on iPlayer or listening to your favourite podcast on BBC Sounds. The BBC's future is dependent on delivering content to an ever-growing online audience and setting the industry standard for a world-class ondemand and live streaming experience. That means playing content back flawlessly and offering the best quality media to our audience, so that we continue to deliver news, entertainment and the UK's most prestigious live events that delight our audiences. To achieve these goals the Media Distribution Analytics team develop the data products and pipelines that ingest, measure and visualise the audience experience and allow us to take action, often in real-time, in addition to informing long term capacity requirements and performance. This is a data engineering team that processes enormous quantities of data, and works closely with device playback and the BBC's own internal Content Distribution Network (BIDI) teams, as well as third party network suppliers, to help make the online streaming experience the best it can possibly be. Role Responsibility Design and build data products to understand media distribution within the BBC. Maintain and extend a petabyte-scale media distribution datalake and ETL process. Develop our realtime stream processing pipeline used for operational monitoring. Collaborate with stakeholders and engineers to find new requirements, ensure products are impactful and add value. Establish culture of engineering excellence and guide junior members of the team Are you the right candidate? Enjoy creating data products and working with big-data technologies Practical experience maintaining large batch/streaming data processing pipelines using technologies including Flink/Spark/BEAM/Kafka Extensive experience with programming languages used for data engineering and associated services: Java/Python/SQL/Go Experience deploying code to cloud platforms and using infrastructure-as-code Knowledgable of various data storage solutions and formats: NoSQL/Columnar/Time-series/RDBMS/Parquet/Avro and services: BigQuery/Athena/Snowflake Ability to work independently and maintain high standards Have worked with data visualisation platforms: Grafana/Looker/PowerBI/Tableau Package Description Band: D Contract type: Permanent Location: London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Sep 23, 2022
Full time
Job Introduction Media Distribution Analytics is the BBC's team that knows what your streaming experience was while watching Wimbledon on iPlayer or listening to your favourite podcast on BBC Sounds. The BBC's future is dependent on delivering content to an ever-growing online audience and setting the industry standard for a world-class ondemand and live streaming experience. That means playing content back flawlessly and offering the best quality media to our audience, so that we continue to deliver news, entertainment and the UK's most prestigious live events that delight our audiences. To achieve these goals the Media Distribution Analytics team develop the data products and pipelines that ingest, measure and visualise the audience experience and allow us to take action, often in real-time, in addition to informing long term capacity requirements and performance. This is a data engineering team that processes enormous quantities of data, and works closely with device playback and the BBC's own internal Content Distribution Network (BIDI) teams, as well as third party network suppliers, to help make the online streaming experience the best it can possibly be. Role Responsibility Design and build data products to understand media distribution within the BBC. Maintain and extend a petabyte-scale media distribution datalake and ETL process. Develop our realtime stream processing pipeline used for operational monitoring. Collaborate with stakeholders and engineers to find new requirements, ensure products are impactful and add value. Establish culture of engineering excellence and guide junior members of the team Are you the right candidate? Enjoy creating data products and working with big-data technologies Practical experience maintaining large batch/streaming data processing pipelines using technologies including Flink/Spark/BEAM/Kafka Extensive experience with programming languages used for data engineering and associated services: Java/Python/SQL/Go Experience deploying code to cloud platforms and using infrastructure-as-code Knowledgable of various data storage solutions and formats: NoSQL/Columnar/Time-series/RDBMS/Parquet/Avro and services: BigQuery/Athena/Snowflake Ability to work independently and maintain high standards Have worked with data visualisation platforms: Grafana/Looker/PowerBI/Tableau Package Description Band: D Contract type: Permanent Location: London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Salary: £700-850 per day inside IR35 Who we're looking for We're looking for a passionate Python engineer to work within the Front Office Technology team. You'll work with likeminded technologists, with a variety of skill sets, focused on building best of breed data processing, workflow and analytical tools for processes such as investment research, Datamodelling and portfolio construction using modern, appropriate technologies. We're after an adaptable engineer to work within a team that delivers software that's fast, reliable, and has a tangible impact on our business. Ideally, you'll have a good understanding of asset management and financial markets. The team The Front Office Technology team are at the forefront of building Alpha generating solutions for areas including investment research, quantitative investing and proprietary ESG models and metrics. The team are located on-desk, where there's strong collaboration and co-creation with the quants and portfolio managers for both research and investment activities. You'll work with a team of enthusiastic individuals who are passionate about software in a financial context and evolving our investment platform. They're also keen on driving positive technology change, ensuring that we always stay ahead of the curve. About We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,500 people on six continents and we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Location We moved into our new HQ in the City of London in 2018, located close to our clients in the heart of the UK's financial centre. What you'll do Be part of a business facing team with a high visibility Deliver a first class data and analytics platform to support investment decision making and quantitative research Refine the existing investment and research platform in response to business needs Work with the quants to adopt Python and transition their ideas and processes to it Build reusable components and packages for wider use Coach and develop more junior team members, ensuring that best practices and methodologies are followed Help build out a Python capability across Front Office Technology The knowledge, experience and qualifications you need Strong Python development experience, in an enterprise environment Python library knowledge including packages such as FastAPI and Dash Experience with both SQL and NoSQL database platforms An understanding of data structures and common data transformation methodologies A drive to deliver with an ability to own a piece of work from start to finish Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD Able to deal credibly with business and technical users at all levels of the organisation The knowledge, experience and qualifications that will help Proficiency in the Linux environment Experience using Docker containers and preferably Kubernetes Experience with cloud (AWS or Azure) A Computer Science and Financial Services background What you'll be like Passionate about technology and how it evolves A problem solver with a business facing personality Able to work under pressure, on several priorities at once Great at working with other people, sharing and communicating ideas
Sep 21, 2022
Contractor
Salary: £700-850 per day inside IR35 Who we're looking for We're looking for a passionate Python engineer to work within the Front Office Technology team. You'll work with likeminded technologists, with a variety of skill sets, focused on building best of breed data processing, workflow and analytical tools for processes such as investment research, Datamodelling and portfolio construction using modern, appropriate technologies. We're after an adaptable engineer to work within a team that delivers software that's fast, reliable, and has a tangible impact on our business. Ideally, you'll have a good understanding of asset management and financial markets. The team The Front Office Technology team are at the forefront of building Alpha generating solutions for areas including investment research, quantitative investing and proprietary ESG models and metrics. The team are located on-desk, where there's strong collaboration and co-creation with the quants and portfolio managers for both research and investment activities. You'll work with a team of enthusiastic individuals who are passionate about software in a financial context and evolving our investment platform. They're also keen on driving positive technology change, ensuring that we always stay ahead of the curve. About We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,500 people on six continents and we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Location We moved into our new HQ in the City of London in 2018, located close to our clients in the heart of the UK's financial centre. What you'll do Be part of a business facing team with a high visibility Deliver a first class data and analytics platform to support investment decision making and quantitative research Refine the existing investment and research platform in response to business needs Work with the quants to adopt Python and transition their ideas and processes to it Build reusable components and packages for wider use Coach and develop more junior team members, ensuring that best practices and methodologies are followed Help build out a Python capability across Front Office Technology The knowledge, experience and qualifications you need Strong Python development experience, in an enterprise environment Python library knowledge including packages such as FastAPI and Dash Experience with both SQL and NoSQL database platforms An understanding of data structures and common data transformation methodologies A drive to deliver with an ability to own a piece of work from start to finish Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD Able to deal credibly with business and technical users at all levels of the organisation The knowledge, experience and qualifications that will help Proficiency in the Linux environment Experience using Docker containers and preferably Kubernetes Experience with cloud (AWS or Azure) A Computer Science and Financial Services background What you'll be like Passionate about technology and how it evolves A problem solver with a business facing personality Able to work under pressure, on several priorities at once Great at working with other people, sharing and communicating ideas
EY's Forensic Data Analytics (FDA) practice is a global, data-focused team within the Forensic & Integrity Services (FIS) department. Our team supports clients in dealing with the complex issues of fraud, regulatory compliance and business disputes. The FDA team practices the full life cycle of data analysis from the early stages of data discovery and capture, to its management, analysis and reporting. Our engagements typically require working with large datasets from disparate sources to support investigations, disputes and proactive risk detection. Our projects primarily involve FTSE100 clients covering a wide range of industries such as Life sciences, Oil & Gas, Government and Telecoms. Your key responsibilities Work with blue chip clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end to end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, Business Information reporting and visualisation software Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in Java, Scala, SQL, Python and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you'll also have: Domain knowledge of accounting, fraud, bribery and corruption or sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure / GCP cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire to 'get to the bottom' of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships. What working at EY offers: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY: As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we are dedicated to making EY the best employer. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Who we are: EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
Feb 04, 2022
Full time
EY's Forensic Data Analytics (FDA) practice is a global, data-focused team within the Forensic & Integrity Services (FIS) department. Our team supports clients in dealing with the complex issues of fraud, regulatory compliance and business disputes. The FDA team practices the full life cycle of data analysis from the early stages of data discovery and capture, to its management, analysis and reporting. Our engagements typically require working with large datasets from disparate sources to support investigations, disputes and proactive risk detection. Our projects primarily involve FTSE100 clients covering a wide range of industries such as Life sciences, Oil & Gas, Government and Telecoms. Your key responsibilities Work with blue chip clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end to end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, Business Information reporting and visualisation software Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in Java, Scala, SQL, Python and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you'll also have: Domain knowledge of accounting, fraud, bribery and corruption or sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure / GCP cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire to 'get to the bottom' of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships. What working at EY offers: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY: As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we are dedicated to making EY the best employer. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Who we are: EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
About the job Offering Ediphy is looking for a handful of exceptional graduates to join our development team - working with our state-of-the-art trading platform and data analytics systems. We are offering a six-week intensive internship designed to assess a graduate's potential to become a full-time member of our team (successful graduates are likely to be offered a full-time role). An ideal candidate will be able to apply their knowledge and experience in software development to the fast paced and challenging environment we face as a modern, dynamic and quickly growing financial services company. About us Ediphy is an FCA regulated fintech company located in London that specialises within the fixed income market; an end-to-end integrated trading partner to the buy-side that provides our clients with pre-trade, execution and post-trade proficiency. Through our hosted technology, we deliver a comprehensive and complete market view via trade data, advanced analytics, greater access to new liquidity pools and a fully managed trading service designed to deliver improved execution outcomes for our clients. Ediphy is also a leading force spearheading advancement in the development of a consolidated tape designed for the European bond markets. Role summary/ What you can expect The role requires candidates to bring existing technical excellence to the team. A primary individual project will be assigned, which is designed to stretch the candidate's technical ability - while working in unison with other members of the development team in other areas. Depending on where the company places graduate intake, the role may allow graduates the opportunity to work with Ediphy's quantitative trader on the company's trading desk in the development of algorithmic trading strategies and manual trading. The programme is an excellent opportunity for candidates to apply their skills to real working scenarios. Ediphy's six-week programme is designed to be fast-paced and challenging for our intake, we welcome candidates that have an incredibly strong ethic for independent working and problem solving. Competencies and skills needed Mandatory Candidates who already have a high level of technical ability (demonstrable knowledge in at least one modern programming language and software development principles) Minimum of a 2:1 degree or above in computer science or STEM background Coding experienced is required Individuals who have a passion for technical analysis and technical problem resolution Interest in computer science & capital markets Positioned to become a full-time employee after the completion of the six-week internship Desirable Exposure to additional programming languages: Python, JavaScript, Java, C++ Exposure to cloud platforms and technologies e.g. Kubernetes Previous work experience within an IT domain Behavioural Analytical: An individual who is able to identify a software issue and isolate it by process of elimination Self-starter: An individual who can independently tackle problem solving issues Effective and open communicator: Ediphy has a strong ethos of transparency and openness within the company Problem solver: An individual who is both able to solve problems independently without much supervision and in collaboration with others Versatile: An individual who can adapt to different functions or activities Seniority level Entry level Employment type Full-time Industry Information, Technology and Services Computer Software, Financial Markets Job functions Engineering, Information Technology, Trading
Oct 01, 2021
Full time
About the job Offering Ediphy is looking for a handful of exceptional graduates to join our development team - working with our state-of-the-art trading platform and data analytics systems. We are offering a six-week intensive internship designed to assess a graduate's potential to become a full-time member of our team (successful graduates are likely to be offered a full-time role). An ideal candidate will be able to apply their knowledge and experience in software development to the fast paced and challenging environment we face as a modern, dynamic and quickly growing financial services company. About us Ediphy is an FCA regulated fintech company located in London that specialises within the fixed income market; an end-to-end integrated trading partner to the buy-side that provides our clients with pre-trade, execution and post-trade proficiency. Through our hosted technology, we deliver a comprehensive and complete market view via trade data, advanced analytics, greater access to new liquidity pools and a fully managed trading service designed to deliver improved execution outcomes for our clients. Ediphy is also a leading force spearheading advancement in the development of a consolidated tape designed for the European bond markets. Role summary/ What you can expect The role requires candidates to bring existing technical excellence to the team. A primary individual project will be assigned, which is designed to stretch the candidate's technical ability - while working in unison with other members of the development team in other areas. Depending on where the company places graduate intake, the role may allow graduates the opportunity to work with Ediphy's quantitative trader on the company's trading desk in the development of algorithmic trading strategies and manual trading. The programme is an excellent opportunity for candidates to apply their skills to real working scenarios. Ediphy's six-week programme is designed to be fast-paced and challenging for our intake, we welcome candidates that have an incredibly strong ethic for independent working and problem solving. Competencies and skills needed Mandatory Candidates who already have a high level of technical ability (demonstrable knowledge in at least one modern programming language and software development principles) Minimum of a 2:1 degree or above in computer science or STEM background Coding experienced is required Individuals who have a passion for technical analysis and technical problem resolution Interest in computer science & capital markets Positioned to become a full-time employee after the completion of the six-week internship Desirable Exposure to additional programming languages: Python, JavaScript, Java, C++ Exposure to cloud platforms and technologies e.g. Kubernetes Previous work experience within an IT domain Behavioural Analytical: An individual who is able to identify a software issue and isolate it by process of elimination Self-starter: An individual who can independently tackle problem solving issues Effective and open communicator: Ediphy has a strong ethos of transparency and openness within the company Problem solver: An individual who is both able to solve problems independently without much supervision and in collaboration with others Versatile: An individual who can adapt to different functions or activities Seniority level Entry level Employment type Full-time Industry Information, Technology and Services Computer Software, Financial Markets Job functions Engineering, Information Technology, Trading
Data Science Engineer Up to £80,000 + stock options + bonus UK Based Remote Are you an experienced machine learning engineer who has built machine learning models to optimize and improve AI products? Are you looking for fast-career progression in a leading data-driven tech company? THE COMPANY: As a Data Science Engineer, you will work alongside the data science team to optimize and improve their line of successful AI products and machine learning platform. They have received several rounds of investment and funding, so have a big drive to grow out the data science team which is essential to the business. You will have the opportunity to mentor junior data scientists and move quickly into a Lead position in the team. THE ROLE: The role of Data Science Engineer will require you to build machine learning solutions end-to-end to develop and improve the data platform and products, as well as presenting to senior stakeholder and clients. In specific, you can expect to be involved in the following You will be involved in building machine learning models from scratch through to deployment You will design and implement new models to add value, with opportunity for future R&D You will be a self-starter and bring new ideas and techniques and think outside the box You will be interacting with clients and stakeholders to explain various models and AI products You will mentor/ manage junior data scientists in the growing team, with the opportunity to progress quickly to leadership YOUR SKILLS AND EXPERIENCE: The successful Data Science Engineer will have the following skills and experience: Educated to MSc/ PhD level in a STEM degree focused in quantitative methods and statistics (Science, Technology, Engineering, Mathematics etc) Extensive applied commercial experience coding in Python Experience building and deploying ML models from scratch to production Excellent communication skills and a strong "go-getter" attitude THE BENEFITS: The successful Data Science Engineer will receive a salary, dependent on experience be up to £80,000. HOW TO APPLY: Please register your interest by sending your CV to Rosie O'Callaghan via the Apply link on this page.
Sep 30, 2021
Full time
Data Science Engineer Up to £80,000 + stock options + bonus UK Based Remote Are you an experienced machine learning engineer who has built machine learning models to optimize and improve AI products? Are you looking for fast-career progression in a leading data-driven tech company? THE COMPANY: As a Data Science Engineer, you will work alongside the data science team to optimize and improve their line of successful AI products and machine learning platform. They have received several rounds of investment and funding, so have a big drive to grow out the data science team which is essential to the business. You will have the opportunity to mentor junior data scientists and move quickly into a Lead position in the team. THE ROLE: The role of Data Science Engineer will require you to build machine learning solutions end-to-end to develop and improve the data platform and products, as well as presenting to senior stakeholder and clients. In specific, you can expect to be involved in the following You will be involved in building machine learning models from scratch through to deployment You will design and implement new models to add value, with opportunity for future R&D You will be a self-starter and bring new ideas and techniques and think outside the box You will be interacting with clients and stakeholders to explain various models and AI products You will mentor/ manage junior data scientists in the growing team, with the opportunity to progress quickly to leadership YOUR SKILLS AND EXPERIENCE: The successful Data Science Engineer will have the following skills and experience: Educated to MSc/ PhD level in a STEM degree focused in quantitative methods and statistics (Science, Technology, Engineering, Mathematics etc) Extensive applied commercial experience coding in Python Experience building and deploying ML models from scratch to production Excellent communication skills and a strong "go-getter" attitude THE BENEFITS: The successful Data Science Engineer will receive a salary, dependent on experience be up to £80,000. HOW TO APPLY: Please register your interest by sending your CV to Rosie O'Callaghan via the Apply link on this page.
Buy Side Junior Quant - Grad to 3 years' experience Key Skills: C/C++, Python My client is a hedge fund which is just leaving the start-up phase behind and looking to move forward and dominate the market. Currently focused in Equities but looking to move across to all electronically tradable asset classes over the next..... click apply for full job details
Feb 21, 2016
Buy Side Junior Quant - Grad to 3 years' experience Key Skills: C/C++, Python My client is a hedge fund which is just leaving the start-up phase behind and looking to move forward and dominate the market. Currently focused in Equities but looking to move across to all electronically tradable asset classes over the next..... click apply for full job details