to be able to use our new Cloud D&A Platform & Tools. The person will also provide support for existing service offerings, across the Data & Analytics Platform Strategy Implementation and DataScience & Analytical Tools Strategy Teams Responsibilities Include: Provide strategic guidance on the transition to Azure data … and services, in close consultation with SMEs, for supporting cloud services to business users as part of the updated operating model for the Enterprise Data Platform. Support for existing services which may include, but not limited to, running service meetings and leading on continuous improvement initiatives. Deliver the new … Leverage experience with Microsoft Azure to support cloud-based initiatives. Essential criteria and experience Experience of designing and implementing Target Operating Model for cloud data platforms and analytical services. Working in a change environment, and experience of how to manage change and business as usual together. Leading and coordinating more »
Active SC Clearance Required Job Overview: The candidate will be joining a team who are experienced data scientists, but with less experience in Microsoft Azure tools (e.g. Microsoft Machine Learning and Azure AI). They should help with the upskilling of the team in these tools as well as … machine learning and AI, including good knowledge of cloud architecture and networking for Azure-specific solutions. · Experience in Infrastructure as Code deployments · Experience in data pipelines for machine learning workflows. · Experience in deploying machine learning models and large language models. · Experience in establishing CI/CD pipelines. · Proficiency in … programming with Python plus any additional programming languages. · Strong foundations in datascience methods and best practices. · Experience with open-source machine learning libraries and deep learning frameworks. · Experience with at least one big data framework. · Record of having been part of a team that has deployed more »
noise” to explain those scores, and write insights reports for senior executives. It’s the perfect opportunity for people who love diving into the data, understand the exciting stories to tell, and know how to present them with wit and personality. You’ll operate like a hybrid between a … data journalist from FiveThirtyEight and a strategy consultant from McKinsey.Must-have skills:Passion for diving into the data, interpreting insights and writing recommendations for clientsExperience using PR analytics for the healthcare industry We’ll provide you with the most advanced analytics suite to make sense of millions of … data points—but you’ve got a roll-up-your-sleeves mentality: you enjoy looking for the data points that tell stories executives don’t already know.A keen sense for copywriting to help editoriolize and “TL;DR” your research into business insights for C-Suite communications leaders.Excel and more »
scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic … limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Role Transaction … entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team more »
yrs transition but traditional loans not appropriate. 2. Knowledge: Farmers need support in knowing how to transition from conventional farming to regenerative practices. Data sits at the core of regen farming, but currently exists in a siloed and analogue format. Farmers monitor soil health to understand fertility, crop rotations … and to maximise yields. These data sets correlate with the data sets used for credits, financing and evidencing provenance. By digitising the data we can reduce the admin burden for farmers and unlock new revenue streams by selling nature credits to organisations looking to offset their environmental … Ultimately making farming more profitable in the long run whilst having a positive impact on health and the environment. The Solution: RE:GENO - the data management tool that finances the transition to regen Re:geno is an app that organises your farming data and financially rewards you for more »
London, England, United Kingdom Hybrid / WFH Options
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Type: Permanent Posted On: 03/12/2023 Head of Data Engineering required by an AI business who is changing an industry. You’ll be leading the build out of a real time streaming platform from scratch, that will become the organisation’s all in one data platform and golden source for data. This proprietary data platform has scope for a lasting impact worldwide. What we offer Lucrative Stock options Hybrid working in London office Our growing success comes from providing next generation technological solutions in an accessible and easy to operate way. We are … a Data-Driven company using Knowledge Graphs, with AI at the heart of our software. This is powered by mammoth quantities of data and is changing the way that software and data platforms are built. Role Head of the Data Engineering function but still cutting your more »
Head of Consulting – Data Analytics, Tech, Behavioural Science Head of Consulting – Data Analytics, Tech, Behavioural Science Head of Consulting – Data Analytics, Tech, Behavioural Science Lead & grow the Consulting arm of a major independent Media Agency. Leverage the companies unique asset combining DataScience, Behavioural Science & Tech, to solve clients major strategic challenges. Join a new business venture within a strategically focused media agency, who already work with some of the biggest brands in Tech & Consumer Goods. You’ll be responsible for developing relationships with key senior stakeholders within existing clients, and … Tech brands You’ll have the opportunity to build a team around you, and develop a substantial strategic consulting practice. Leverage a unique Tech & Data Asset to solve business challenges, and develop a valuable niche within media & advertising services This is an opportunity to lead a new strategic initiative more »
Principal Data Engineer £80,000 - £103,000 + 15% Bonus London based - Hybrid working A consultancy at the heart of ground-breaking innovation and transformative solutions where expertise meets ambition. With a focus on collaborative brilliance shaping industries and propelling client towards their full potential whilst driving meaningful change … is seeking to add a Principal Data Engineer to the team based in London. Requirements of a Principal Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, datascience, and product development, encompassing experience in both stream and batch processing. Proficiency in the design and deployment of production data pipelines, involving languages like Java, Python, Scala, Spark, and SQL. You should also have some more »
and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science.As the pioneer of Consulting 4.0, weintegrate AI into our solutions. Sia Partners comprises of 3000+ consultants with diverse expertise, and operates from 39offices … both GB and Ireland. Our company excels in combining sectorial expertise from our Strategy & Management Consulting arm, with cutting-edge capabilities in AI and Datascience techniques and technologies. You will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and … in a relevant subject: DataScience, Economics, Mathematics, Computer Science, Engineering or Business preferred. Previous Experience in a Data/Datascience team from a consulting company is mandatory Additional Information You can expect… A supportive atmosphere, where innovation and initiative are encouraged. A commitment to diversity more »
Data Scientist Paying up to £75k + 10% bonus Remote first policy – Office in Central London if preferred. One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing industry are currently hiring for a talented Data Scientist to join the team. … their first model this year across the UK and USA. This is a pivotal time for the business, and you will help transform the datascience capabilities as they build a new cloud-based Data Platform. As a Data Scientist, you will leverage their extensive quest … data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities: Key Responsibilities: Develop and enhance the revenue management application. Utilize our data platform to support and automate decision-making processes. Forecast customer demand and evaluate the impact of various more »
commodities house is seeking a Senior PowerBI Developer to enhance their reporting capabilities. This role involves collaborating with multiple business functions and partnering with DataScience and Data Engineering teams to optimize data models and pipelines, driving business performance. Experience within commodities is a must and … the start date wont be until August so please bear this in mind. Key Responsibilities: Develop comprehensive visualisations and reports in PowerBI Collaborate with DataScience and Data Engineering teams Maintain and enhance PowerBI dashboards Address and solve data issues Requirements: Proven experience as a BI … Developer or similar role Proficient in PowerBI, DAX, Power Query, and SQL Strong understanding of data modelling and database concepts Familiarity with data visualisation techniques Experience with Azure and Databricks is a plus Prior experience in financial services or commodities is a must If interested please come back more »
Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from … various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy … models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree more »
W Talent are currently partnered with a fast growth Fintech company Looking to add to their DataScience team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of … enhancement, and maintenance of cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize datascience projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large … and complex datasets. Mentor and coach junior data scientists, providing guidance and support to foster their professional growth and development. Communicate findings, recommendations, and insights to stakeholders at all levels of the organization Person we are looking for: Proficiency in programming languages and tools such as Python, R, Snowflake more »
VP DATA AND ANALYTICS UP TO £150,000 + Stocks + Bonus HYBRID - LONDON THE COMPANY This is a brilliant opportunity to work as a VP of Data for an innovative and well-established company in the Energy/renewables space. They are looking to undergo a Data transformation! THE ROLE As a VP you will have the following responsibilities: Driving the strategic direction of innovating the Analytics and DataScience platform Supporting client delivery, actionable insights and recommendations to stakeholders Driving data governance and security best practices Helping scale and grow a global more »
sports using cutting edge technology. From bare metal to cloud Sportable is a multidisciplinary mecca for sports and technology enthusiasts. If you're a data scientist, computer scientist, physicist, sports scientist, engineer, business graduate, graphic designer, mechanical designer, creative or just passionate about the intersection of elite sports and … and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll be supported by a highly talented, multidisciplinary team of engineers, data scientists and sports scientists. Required … skills/Experience: Computer Science Degree with First class pass (or equivalent) 5+ years experience in software development Golang (and strong experience in other object oriented languages e.g. C++/Java/Scala) SQL Databases (schema design, optimization, etc. Postgresql desirable) Linux (basic command line, networking, bash, services, configuration more »
address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI … to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions. … Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience more »
offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely … of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. more »
Position Summary Vallum Associates are seeking a Data Scientist, who'll be essential in building data capabilities to support the business strategy to attract, retain, and progress exceptional talent from diverse backgrounds. Reporting to the Head of Innovation, you'll develop and implement data-driven solutions, optimise … mix of technical skills, legal industry knowledge, and project management. Core Responsibilities Innovation: Develop and deploy legal tech solutions using AI, machine learning, and data analytics to improve efficiency and service quality. Data Strategy: Collaborate with data governance and security teams to create a comprehensive data strategy, ensuring data integrity and compliance. Collaboration: Work with legal teams, IT, and external partners to align technology solutions with business needs for seamless integration. Research: Stay updated on emerging technologies and trends in legal tech. Analysis: Identify and drive process improvements. Stakeholder Engagement: Communicate with stakeholders to more »
Enterprise Data Architect Location: Central London (Hybrid - 2/3 days a week in the office) Contract Length: 12 months Rate: £650-£750 per day (Inside IR35) The client is seeking an experienced Enterprise Data Architect to join their team on a contract basis. The ideal candidate will … possess a strong background in data architecture and be capable of addressing a variety of issues within the Architecture Workload backlog. This role will involve working closely with various stakeholders to provide strategic and tactical support across several key areas. Key Responsibilities: Batch Workload Integration: File Transfer Artefacts Data Consumption: Business Intelligence - Advisory Report Business Analytics - Alteryx DataScience - Decision Tree Foundational Data Management: Data Quality Management - Tool Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts more »
Job Title: Junior Data Engineer Location : London (Anywhere in UK) Pay Rate : £150/Day We are looking to hire a Junior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures on AWS. You will work closely with senior data engineers, data scientists, and other stakeholders to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality more »
acquisition campaigns, maximize ROI, and contribute to the overall growth of the company. This position offers the opportunity to work at the intersection of datascience, data engineering, marketing, and business strategy. The Role : Manage and develop a team of analysts and data scientists Oversee the … performance indicators (KPIs) and communicate insights to stakeholders Utilise advanced analytics tools and techniques to analyse large datasets related to user acquisition Translate complex data into actionable insights to inform strategic marketing decisions Data Governance and Quality: Ensure data accuracy and reliability by implementing and maintaining data governance best practices. work with relevant teams to resolve data quality issues and improve overall data integrity. Help the user Acquisition and Product teams execute the growth strategy for each of our titles: Work closely with the User Acquisition team to optimise digital marketing campaigns, identifying areas more »
Data Business Analyst - £75,000 - London (Hybrid) Scalexperts have partnered with an analytics business who are looking for a Data BA to join them on a permanent basis. Due to a large transformation in the way this business provides it's data/reports, they require someone … to lead on specifying new data and business requirements for this reconfiguration of trading systems used across the industry by their end users. This role will suit someone who has experience of taking ownership of requirements gathering, stakeholder management and who has delivered complex data projects in previous … delivering both high level and detailed business requirement documentation. Key Skills/Experience: 4+ years of experience in a similar role ie BA or Data BA Knowledge of the full SDLC, having seen projects through from requirements gathering to implementation Excellent stakeholder management skills, able to liaise with teams more »
to join their AI&B Banking team. This team consists of 30 management consultants with diverse skills in financial analysis, economics, quantitative modelling, and data science. The team members bring extensive experience from both industry and advisory backgrounds in strategy, finance, treasury, risk, regulatory, commercial, and operational domains. Key … of equity frameworks and contributing to sustainable finance initiatives. Supporting strategy development through insights on client demand response and capital allocation. Designing and developing data models, dashboards, and analytical frameworks for decision-making and cost reduction. Managing large-scale projects including technology implementation, M&A, and regulatory oversight. Spearheading more »
Quantitative Traders collaborate extensively with quantitative researchers and quantitative developers to create, build, and run systematic trading strategies. Our quantitative developers use their mathematics, datascience, and analytical skills to analyze market data for finding patterns and build novel quantitative trading strategies. They also execute strategies during … of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics … Statistics, DataScience or other quantitative discipline Good to Have C++/Java development experience Experience in using quantitative methods for strategy parameter optimization Prior experience at a top tier hedge fund, proprietary trading house or investment bank Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras more »
