field. Min 4 years of experience as a Data Scientist in the ad-tech industry, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership more »
teams and leadership. Define measurement objectives, KPIs, and strategies in collaboration with teams and guide tactical optimizations and testing. Collaborate with finance and data analytics teams on cross functional projects and alignment on conversion funnel definitions and metrics Requirements Strong experience in digital marketing analytics, preferably in a fast-growing … B2B tech/SaaS business. Bachelor's or Master s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital marketing data. Strong proficiency and experience with Excel … Tableau, and Google Data Studio. Strong problem-solving and analytical skills to methodically structure problems and quantify potential solution sets. Experience with advanced marketing analytics techniques such as media-mix modeling and multi-touch attribution preferred Excellent communication skills with the ability to clearly present findings to both technical and more »
s degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »
Microsoft Azure qualifications a plus Snowflake, Dynamics 365 or Power BI experience would be beneficial but not essential. Experience producing business insight through data analytics would be beneficial. Diversity, inclusion and wellbeing are at the heart of everything they do, and they want to ensure they are at the heart more »
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 more »
and is poised for rapid expansion. Our client, an innovative AI-driven tech company, is transforming industries with its advanced computer vision and data analytics solutions. Join a team committed to enhancing safety, security, and efficiency across sectors such as transport, healthcare, manufacturing, and education. Benefits : 25 days annual leave more »
a really proactive individual who is always seeking out opportunities for improvement, using their initiative, and is truly passionate about the value that data analytics can bring to an organisation! Requirements: Experience designing & developing Power BI solutions with use of DAX and Power Query Experience automating business processes, with experience more »
improvement practices. Have a strong understanding of data quality principles, methodologies, and tools. Have experience with data integration tools such as ETL and data analytics platforms such as Tableau. Have experience with Agile development methodologies such as Scrum. Have had some exposure in Operational Business Intelligence and Management Information solutions more »
as data partitioning, indexing, and caching. Collaborate with data scientists, analysts, and other stakeholders to ensure seamless integration of data engineering solutions with data analytics and AI platforms. Provide technical leadership and mentorship to junior data engineers, promoting a culture of knowledge sharing, collaboration, and continuous improvement. Stay informed of more »
Leicester, Leicestershire, United Kingdom Hybrid / WFH Options
Confidential
Contact Centre Metrics. Experience of change management. Experience in working with Microsoft Azure Platform eco-system ( Azure data lake , Azure data factory, Azure Synapse Analytics , Data bricks , Power BI etc) would be highly desirable. Experience in Data Engineering for Data Quality, Data Lineage, Data Governance. Having knowledge and experience of more »
Contact Centre Metrics. Experience of change management. Experience in working with Microsoft Azure Platform eco-system ( Azure data lake , Azure data factory, Azure Synapse Analytics , Data bricks , Power BI etc) would be highly desirable. Experience in Data Engineering for Data Quality, Data Lineage, Data Governance. Having knowledge and experience of more »
Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data Science practice, visit our bots showroom : https://www.heka.ai/en As a Manager/Senior Manager, you more »
from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning more »
microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team. We need this role to keep upgrading our AI infrastructure to be more resilient and scalable, while we face more »
career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below. #J-18808-Ljbffr more »
you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Senior Data & Analytics Consultants to join us on our exciting journey and be part of the Hitachi Solutions family. In this role you will be providing bespoke and … cutting edge advanced analytics solutions, bringing significant commercial advantage to some of the UK s most recognised companies. The successful candidate will draw upon their experience with business intelligence tools and techniques and to advise clients on analytics best practices and deliver analytics capability on time and to budget. The … main areas of responsibility are: Advising clients on the best analytics practices and deliver analytics capabilities on time and to budget Capture client requirements and model data to develop an effective intelligence solution architecture Develop or design bespoke Business Intelligence & Advanced Analytics solutions Implement solutions using best practices for the more »
Data Engineer - Manchester - £35,000 - Hybrid Working My client is hiring a full time Data Engineer to contribute to their expanding data science and analytics initiatives. Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into their central Microsoft Azure repository. Collaborate with Data Analysts and more »
driven Junior SQL Data Engineer to join our team. As a Junior SQL Data Engineer, you will work closely with our data engineering and analytics teams to develop, optimize, and maintain SQL databases and data pipelines. This is an exciting opportunity for a motivated individual who is eager to learn more »
play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists. Responsibilities: Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems. Collaborate with product development teams more »
and qualifications. We look forward to reviewing your application Skills Skills Mandatory Skills SQL TensorFlow BigQuery Python Good To Have Skills Power BI Data Analytics #J-18808-Ljbffr more »
senior members of the team and enjoys taking responsibility in their work then this is for you! Requirements: Expertise in machine learning for marketing analytics, including MMM or econometrics. Track record of creating products for marketing teams or stakeholders. Proficiency in SQL, Python (pandas, NumPy, scikit-learn), and translating technical more »
our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the more »
us stay ahead in the evolving energy sector. Why You'll Love Working Here: Innovative Projects: Lead transformative projects that leverage cutting-edge data analytics, automation, and self-service reporting. Career Growth: Enjoy ample opportunities for professional development and career advancement in a dynamic, fast-paced environment. Collaborative Culture: Thrive more »
Solihull, West Midlands (County), United Kingdom Hybrid / WFH Options
Big Red Recruitment Midlands Limited
us stay ahead in the evolving energy sector. Why You'll Love Working Here: Innovative Projects: Lead transformative projects that leverage cutting-edge data analytics, automation, and self-service reporting. Career Growth: Enjoy ample opportunities for professional development and career advancement in a dynamic, fast-paced environment. Collaborative Culture: Thrive more »
such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma 'belt') is preferred Working knowledge of tax regulation and more »
