216 Big Data Analytics jobs in the United Kingdom

• Develop and implement predictive models to forecast equipment performance, operational efficiency, and resource extraction.
• Analyze large and complex datasets from various sources (e.g., sensor data, geological surveys, operational logs) to identify patterns and trends.
• Design and build machine learning pipelines for tasks such as anomaly detection, process optimization, and risk assessment.
• Create compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
• Collaborate with subject matter experts to define key performance indicators (KPIs) and data requirements.
• Implement and deploy models into production environments, monitoring their performance and iterating as needed.
• Stay current with the latest advancements in data science, machine learning, and big data technologies.
• Contribute to the development of data strategy and best practices within the organization.
• Ensure data integrity, quality, and security throughout all analytical processes.

• Assist in data collection, cleaning, and preprocessing.
• Perform data analysis to identify trends and patterns.
• Develop data visualizations and reports.
• Support senior analysts in deriving insights from data.
• Collaborate with team members on data-driven projects.
• Learn and apply new data analysis techniques and tools.

• Assist in the collection, cleaning, and organization of data from various sources.
• Perform data analysis using statistical methods and software.
• Develop reports and visualizations to communicate findings effectively.
• Support senior analysts in identifying trends and patterns within datasets.
• Learn and apply data modeling techniques.
• Participate in team meetings and contribute to project discussions.
• Maintain data integrity and accuracy.
• Develop skills in programming languages commonly used in data analysis (e.g., Python, R, SQL).

• A recent graduate with a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel; experience with other data analysis tools is a plus.
• Eagerness to learn and develop skills in data analysis and programming.
• Good communication and teamwork abilities.
• Attention to detail and commitment to accuracy.
• Must be eligible to work in the UK.

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .

Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.

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The Administrative Support Officer provides essential support to ensure efficient office operations and assists various departments by managing administrative tasks, coordinating communication, and maintaining organizational systems. This role is vital in fostering a productive and organized work environment.

Key Responsibilities

• Manage day-to-day office activities including scheduling, correspondence, and filing.
• Handle incoming calls, emails, and visitor inquiries professionally and promptly.
• Prepare and process documents, reports, and presentations as required.
• Maintain office supplies inventory and coordinate procurement when necessary.
• Assist in organizing meetings, events, and travel arrangements.
• Support HR and finance departments with data entry and record-keeping tasks.
• Ensure office equipment is functioning and arrange for repairs when needed.
• Maintain accurate and confidential records and databases.

Qualifications & Skills

• High school diploma or equivalent; relevant certifications or diploma in office administration is an advantage.
• Proven experience in administrative or office support roles.
• Excellent organizational and multitasking skills.
• Strong communication and interpersonal abilities.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook).
• Ability to handle sensitive information with discretion.
• Detail-oriented with good problem-solving skills.

Background and context

TalkTalk’s vision is to be the most recommended Wi-Fi provider in the UK by 2028 with a growing, profitable` base. Success requires that we simplify what we do, who we do it with, and reduce the cost of how we do it.

"TalkTalk is the uncomplicated way to get excellent in-home Wi-Fi coverage, we stand out from the crowd by offering intelligent but simple products that work perfectly first-time, without fuss or incomprehensible jargon, and for any help our customer service is the best in the industry”

Our aim is to deliver simplified & customer delighting Wi-Fi products and a more digital customer & employee experience. This enabled by a technology platform that leverages data to drive innovation, decision-making, and automation, ultimately providing a more cost-efficient service for our customers.

Role Overview

The Director of Data Science & Analytics will lead the data-driven transformation of the business, overseeing the strategy, governance, and execution of all data science and analytics initiatives. Reporting to the executive team, you will ensure data is leveraged to drive business growth, improve customer experience, and enable operational excellence across the organisation.

Key Responsibilities

• Develop and execute a comprehensive data science and analytics strategy aligned with business goals.
• Build and lead a high-performing team of data scientists, analysts, and data engineers, fostering a culture of innovation and continuous learning.
• Oversee the end-to-end delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation.
• Establish robust data governance, quality, and compliance frameworks, ensuring the integrity and security of all data assets.
• Collaborate with C-suite and business leaders to identify high-impact opportunities for data-driven decision making and process optimisation.
• Drive the development and deployment of predictive models, customer segmentation, churn analysis, and network optimisation projects tailored to the telecoms sector.
• Monitor key performance indicators (KPIs) and measure the business impact of analytics initiatives, focusing on tangible outcomes such as revenue growth, cost reduction, and customer satisfaction.
• Stay ahead of industry trends, emerging technologies, and regulatory requirements relevant to data science and telecoms.

Essential Skills & Experience

• Proven leadership in data science/analytics within a large-scale, customer-centric organisation (telecoms experience preferred).
• Deep expertise in advanced analytics, machine learning, and AI, with a track record of delivering business value through data.
• Strong understanding of data governance, security, and compliance in regulated environments.
• Excellent stakeholder management and communication skills, with the ability to translate complex analytics into actionable business insights.
• Experience building and mentoring high-performing, multidisciplinary teams.
• Advanced degree in Data Science, Computer Science, Statistics, or a related field.