150 Statistical Analyst jobs in the United Kingdom
Senior Data Scientist - Financial Modeling
EH1 1BB Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 21 days ago
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Job Description
Our client, a prestigious financial services firm, is seeking a highly skilled Senior Data Scientist with expertise in financial modeling to join their innovative, fully remote team. This role offers a unique opportunity to leverage advanced analytical techniques and machine learning to drive strategic decision-making within the financial sector. You will be responsible for developing sophisticated predictive models, conducting in-depth risk assessments, and optimizing investment strategies. Your work will directly impact the firm's performance and profitability.
This position requires a strong command of statistical modeling, econometrics, and machine learning algorithms, coupled with a deep understanding of financial markets and instruments. You will work with large, complex datasets, employing cutting-edge tools and technologies to extract actionable insights. Key responsibilities include designing and implementing models for forecasting, fraud detection, credit scoring, and portfolio optimization. You will also be involved in validating model performance, ensuring regulatory compliance, and communicating complex findings to senior management and other stakeholders.
The ideal candidate will possess a proven track record in data science within the financial industry, with demonstrable experience in building and deploying robust financial models. Excellent programming skills in Python or R, proficiency in SQL, and experience with big data technologies are essential. A strong quantitative background, demonstrated by a Master's or Ph.D. in a relevant field such as Finance, Economics, Statistics, or Computer Science, is required. You should have excellent communication and presentation skills, with the ability to articulate technical concepts clearly and concisely. As part of a fully remote team, you must be self-motivated, highly organized, and able to collaborate effectively across distances. Our client is committed to fostering a collaborative and intellectually stimulating remote work environment, offering ample opportunities for professional development and career progression.
Responsibilities:
This position requires a strong command of statistical modeling, econometrics, and machine learning algorithms, coupled with a deep understanding of financial markets and instruments. You will work with large, complex datasets, employing cutting-edge tools and technologies to extract actionable insights. Key responsibilities include designing and implementing models for forecasting, fraud detection, credit scoring, and portfolio optimization. You will also be involved in validating model performance, ensuring regulatory compliance, and communicating complex findings to senior management and other stakeholders.
The ideal candidate will possess a proven track record in data science within the financial industry, with demonstrable experience in building and deploying robust financial models. Excellent programming skills in Python or R, proficiency in SQL, and experience with big data technologies are essential. A strong quantitative background, demonstrated by a Master's or Ph.D. in a relevant field such as Finance, Economics, Statistics, or Computer Science, is required. You should have excellent communication and presentation skills, with the ability to articulate technical concepts clearly and concisely. As part of a fully remote team, you must be self-motivated, highly organized, and able to collaborate effectively across distances. Our client is committed to fostering a collaborative and intellectually stimulating remote work environment, offering ample opportunities for professional development and career progression.
Responsibilities:
- Develop, validate, and deploy advanced statistical and machine learning models for financial applications.
- Conduct comprehensive data analysis to identify trends, risks, and opportunities in financial markets.
- Build predictive models for forecasting, risk management, fraud detection, and portfolio optimization.
- Collaborate with quantitative analysts, traders, and risk managers to define modeling requirements.
- Ensure model accuracy, robustness, and compliance with regulatory standards.
- Communicate complex analytical findings and recommendations to senior leadership.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
- Master's degree or Ph.D. in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5+ years of experience in data science, with a strong focus on financial modeling and analysis.
- Proficiency in Python or R, and extensive experience with data manipulation and modeling libraries.
- Strong SQL skills and experience with relational databases.
- Deep understanding of financial markets, instruments, and risk management principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and communication skills.
This advertiser has chosen not to accept applicants from your region.
0
Principal Insurance Data Scientist (Risk Modeling)
PL1 1AA Plymouth, South West
£80000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a leading innovator in the insurance sector, is seeking a Principal Insurance Data Scientist to spearhead advanced risk modeling initiatives. This is a fully remote role, offering significant autonomy and the opportunity to influence strategic decision-making from your home office. You will be responsible for developing sophisticated predictive models to assess and quantify insurance risks, optimize pricing strategies, and enhance underwriting processes. Your work will involve leveraging large, complex datasets, including historical claims data, demographic information, and external economic factors. The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, coupled with a minimum of 7 years of experience in data science, specifically within the insurance or financial services industry. Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, time series analysis, deep learning), and programming languages like Python or R is essential. Experience with data visualization tools and big data technologies (e.g., Spark, Hadoop) is also highly valued. You will lead projects from conception to deployment, mentor junior data scientists, and collaborate closely with actuarial teams, underwriters, and business stakeholders. Strong communication and presentation skills are required to convey complex analytical findings clearly and effectively. This role demands a proactive, innovative mindset and a deep understanding of insurance principles and regulatory requirements. Your insights will directly impact the company's profitability and competitive positioning. We are looking for a thought leader who can drive the data science agenda and contribute to the company's digital transformation. The ability to translate business problems into data-driven solutions is paramount.
This advertiser has chosen not to accept applicants from your region.
1
Remote Lead Data Scientist - Financial Modeling
L1 8JQ Liverpool, North West
£80000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Lead Data Scientist to join their innovative team in a fully remote capacity. This role offers the unique opportunity to shape the future of financial modeling and risk assessment from the comfort of your home office. You will be responsible for leading the development and implementation of advanced statistical and machine learning models to address complex financial challenges. This includes building predictive models for market trends, credit risk, fraud detection, and investment performance. As a Lead Data Scientist, you will mentor junior team members, guide research initiatives, and collaborate closely with cross-functional teams, including portfolio managers, risk officers, and software engineers, to integrate data-driven insights into strategic decision-making processes. You will be at the forefront of leveraging cutting-edge technologies and big data platforms to extract actionable intelligence from vast datasets. A strong understanding of financial markets, regulatory requirements, and quantitative finance is crucial. The ideal candidate will possess a deep technical expertise in areas such as Python, R, SQL, and various machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn), coupled with exceptional problem-solving skills and a passion for innovation. You will be expected to communicate technical concepts effectively to both technical and non-technical audiences, present findings, and contribute to the overall data science strategy of the organization. This is an exceptional opportunity to drive significant impact in the financial sector while enjoying the flexibility of a remote-first work environment.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and deployment of advanced analytical models for financial applications.
- Mentor and guide a team of data scientists and analysts.
- Collaborate with business stakeholders to understand needs and translate them into data science projects.
- Conduct exploratory data analysis and feature engineering on large, complex datasets.
- Implement and optimize machine learning algorithms for prediction, classification, and anomaly detection.
- Develop and maintain robust data pipelines and reporting frameworks.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
- Present complex findings and recommendations to senior management and other stakeholders.
Qualifications:
- Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Economics).
- Significant experience (5+ years) as a Data Scientist, with a focus on financial modeling or risk management.
- Proven leadership experience in managing data science projects and teams.
- Expert proficiency in programming languages such as Python or R, and SQL.
- Hands-on experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure, GCP).
- Deep understanding of statistical modeling, machine learning techniques, and financial mathematics.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
2
Remote Junior Data Scientist - Predictive Modeling
M1 1AB Manchester, North West
£25000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is launching an exciting new graduate program and is looking for ambitious Junior Data Scientists to join their innovative team. This is a fully remote, internship position designed for individuals passionate about leveraging data to solve complex problems. You will work closely with experienced data scientists, gaining hands-on experience in developing and implementing machine learning models, analysing large datasets, and contributing to data-driven product development. Your primary focus will be on supporting the creation of predictive models, data cleaning, feature engineering, and exploring new analytical approaches. This internship offers a unique opportunity to learn and grow in a fast-paced, collaborative environment, with ample opportunities for professional development and mentorship. The ideal candidate will possess a strong foundational understanding of statistics, programming (preferably Python), and a keen interest in artificial intelligence and machine learning. You should be eager to learn, possess excellent problem-solving skills, and be comfortable working autonomously in a remote setting.
Key Responsibilities:
Key Responsibilities:
- Assist senior data scientists in developing and implementing machine learning models.
- Perform data cleaning, preprocessing, and feature engineering on diverse datasets.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Support the validation and testing of predictive models.
- Contribute to the documentation of data science processes and methodologies.
- Learn and apply new data science techniques and tools under guidance.
- Collaborate with team members on data-related projects and initiatives.
- Help prepare reports and visualizations to communicate findings.
- Participate in team meetings and knowledge-sharing sessions.
- Proactively seek opportunities to enhance analytical skills and contribute to project success.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior internship or project experience in data analysis or data science is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Agronomist - Remote Data Analysis
BT1 1AA Belfast, Northern Ireland
£45000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a leader in sustainable agricultural technology, is actively seeking a highly skilled and innovative Agronomist to join their fully remote team. This unique role focuses on the analysis of large-scale agricultural data to provide actionable insights and recommendations for optimizing crop yields, improving soil health, and enhancing farming practices. You will leverage cutting-edge data analytics tools and collaborate virtually with a global network of researchers, farmers, and agricultural specialists. This is an exceptional opportunity for an experienced agronomist with a passion for data-driven agriculture and a proven ability to excel in a remote work environment. The successful candidate will contribute to shaping the future of farming.
Key Responsibilities:
Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
This advertiser has chosen not to accept applicants from your region.
4
Graduate Trainee - Data Analysis
NE1 5HQ Newcastle upon Tyne, North East
£25000 annum (pro
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a forward-thinking analytics firm based in Newcastle upon Tyne, Tyne and Wear, UK , is offering an exceptional Graduate Trainee opportunity within their Data Analysis department. This is a fantastic chance for ambitious recent graduates to kick-start their career in a dynamic and data-driven environment. This role offers a hybrid working model, blending essential in-office collaboration and learning with the flexibility of remote work. You will receive comprehensive training and mentorship, working alongside experienced data professionals to develop your skills in data extraction, manipulation, analysis, and visualization. This program is designed to provide a robust foundation in data science principles and practical application.
Key Responsibilities:
Key Responsibilities:
- Assist senior analysts in collecting and cleaning large datasets from various sources.
- Perform data extraction, transformation, and loading (ETL) processes under guidance.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Develop and create clear and concise data visualizations and reports to communicate findings.
- Support the development and testing of analytical models.
- Learn and apply statistical methods and techniques relevant to data analysis.
- Collaborate with team members to understand project requirements and contribute to solutions.
- Maintain accurate documentation of data processes and analytical methodologies.
- Participate in team meetings and training sessions to enhance technical and analytical skills.
- Contribute to ad-hoc data analysis requests as needed.
- A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- An understanding of statistical concepts and data modelling principles.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior Manager, Data Analysis
City of Westminster, London
Pulse Advertising
Posted 1 day ago
Job Viewed
Job Description
Short title
Build creative social media conceptsnYour application
Ready to turn your expertise into impact?nIf you’re looking to lead with data, guide high-level strategy, and help shape a future where insights drive everything—we’d love to hear from you.
Apply now and let’s build smarter campaigns, together.nIntroduction
We are seeking a
Senior Data Analyst
who goes beyond reporting and designing metrics, engineering insights, and building proprietary models. If you are passionate about data exploration, modeling, and social intelligence, we would love to hear from you.nYour tasks
You lead performance analysis across social, influencer, and paid media, delivering strategic recommendationsnYou oversee social listening, competitor benchmarking, and market analysis to refine insightsnYou apply data science methods and collaborate across teams to develop predictive models and data-driven product narrativesnYou analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligencenYou design and refine the Social Media Value (SMV) metric, integrating multiple data sources into one monetary valuenYou mentor junior analysts, promoting analytical rigor, creativity, and strategic thinkingnYour skills
You have 4-6 years of experience as a Data Analyst or hybrid Analyst/Scientist in digital strategy, social tech, marketing analytics, or agency settingsnYou possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker StudionYou are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clientsnYou understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeplynYou are skilled at working with unstructured API data, turning it into scalable, insightful frameworksnYou demonstrate strong leadership and mentorship skills and you’re fluent in English, any additional language is a plus
#J-18808-Ljbffrn
Build creative social media conceptsnYour application
Ready to turn your expertise into impact?nIf you’re looking to lead with data, guide high-level strategy, and help shape a future where insights drive everything—we’d love to hear from you.
Apply now and let’s build smarter campaigns, together.nIntroduction
We are seeking a
Senior Data Analyst
who goes beyond reporting and designing metrics, engineering insights, and building proprietary models. If you are passionate about data exploration, modeling, and social intelligence, we would love to hear from you.nYour tasks
You lead performance analysis across social, influencer, and paid media, delivering strategic recommendationsnYou oversee social listening, competitor benchmarking, and market analysis to refine insightsnYou apply data science methods and collaborate across teams to develop predictive models and data-driven product narrativesnYou analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligencenYou design and refine the Social Media Value (SMV) metric, integrating multiple data sources into one monetary valuenYou mentor junior analysts, promoting analytical rigor, creativity, and strategic thinkingnYour skills
You have 4-6 years of experience as a Data Analyst or hybrid Analyst/Scientist in digital strategy, social tech, marketing analytics, or agency settingsnYou possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker StudionYou are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clientsnYou understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeplynYou are skilled at working with unstructured API data, turning it into scalable, insightful frameworksnYou demonstrate strong leadership and mentorship skills and you’re fluent in English, any additional language is a plus
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
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6
Remote Exploration Geologist - Data Analysis
MK9 2FB Milton Keynes, South East
£55000 Annually
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Posted today
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Job Description
Our client is a leading player in the global mining sector and is actively seeking a highly skilled and experienced Remote Exploration Geologist with a strong focus on data analysis. This is a fully remote position, offering the flexibility to work from anywhere within the UK. The successful candidate will be instrumental in identifying and evaluating potential mineral resource projects through the comprehensive analysis of geological data. Your responsibilities will include interpreting and modelling geological, geochemical, and geophysical datasets, assessing resource potential, and contributing to the strategic direction of exploration programs. You will leverage advanced geological software and data analysis techniques to generate insights and recommendations. Collaboration with in-house geologists, geophysicists, and external consultants will be a key aspect of this role, requiring excellent communication and teamwork skills despite the remote nature of the work. The ideal candidate will possess a deep understanding of mineral deposit formation, geological mapping, and resource estimation principles. A proven track record of successful exploration projects, supported by strong analytical and problem-solving capabilities, is essential. You will be responsible for the quality and integrity of geological data and models, ensuring they meet industry standards. This role demands a proactive approach, the ability to work autonomously, and a passion for uncovering new mineral resources. Experience with scripting languages for data manipulation and visualization (e.g., Python, R) would be a significant advantage. You will contribute to high-level decision-making regarding exploration strategy and investment.
Responsibilities:
Responsibilities:
- Analyze geological, geochemical, and geophysical data to identify exploration targets.
- Develop and interpret 3D geological models and resource estimates.
- Assess the viability and potential of mineral resource projects.
- Utilize advanced geological software for data analysis and visualization.
- Collaborate remotely with cross-functional exploration teams.
- Contribute to the development of exploration strategies and budgets.
- Ensure the quality and accuracy of geological datasets and reports.
- Prepare technical reports and presentations for management.
- Stay abreast of new technologies and methodologies in mineral exploration.
- Maintain knowledge of global mining trends and commodity markets.
- MSc or PhD in Geology, Economic Geology, or a related field.
- Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Experience with geological data management systems.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills.
- Familiarity with scripting languages (Python, R) is a plus.
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7
Advanced Apprenticeship in Data Analysis
BD1 1AA Bradford, Yorkshire and the Humber
WhatJobs
Posted 3 days ago
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Job Description
Embark on an exciting career journey with our Advanced Apprenticeship in Data Analysis program, offered in partnership with leading companies, providing a blend of remote learning and on-site practical experience in **Bradford, West Yorkshire, UK**. This is an exceptional opportunity for motivated individuals looking to gain valuable skills and qualifications in the in-demand field of data analysis. As an apprentice, you will receive comprehensive training, mentorship, and hands-on experience, working alongside experienced data professionals. You will learn to collect, clean, interpret, and visualize complex datasets to help businesses make informed decisions. Key responsibilities will include assisting with data extraction and manipulation, supporting the creation of reports and dashboards, and contributing to data quality checks. You will develop proficiency in essential tools and techniques, such as SQL, Excel, and data visualization software. This apprenticeship is designed to provide a structured pathway to a successful career in data. We are seeking enthusiastic, eager-to-learn individuals with a keen eye for detail and a strong aptitude for problem-solving. A genuine interest in data and technology is essential, along with good communication skills and the ability to work both independently and as part of a team. This hybrid program balances flexible remote study with practical application in a professional setting, ensuring a well-rounded learning experience. Upon successful completion, you will gain a recognized qualification and be well-positioned for further career advancement in data analytics.
Program Details:
Program Details:
- Comprehensive training in data collection, cleaning, and preparation techniques.
- Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Developing skills in data interpretation, statistical analysis, and report generation.
- Gaining practical experience through real-world projects and tasks.
- Mentorship from experienced data analysts and professionals.
- Hybrid learning model: structured remote study combined with on-site work experience.
- Opportunity to earn a recognized qualification upon completion.
- Pathway to potential full-time employment with partner companies.
- Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
- A genuine interest in data analysis and technology.
- Strong numerical and analytical abilities.
- Good problem-solving skills and attention to detail.
- Effective communication and interpersonal skills.
- Ability to work collaboratively in a team and independently.
- Commitment to completing the full apprenticeship program.
- Must be eligible to work in the UK and not currently in full-time education.
This advertiser has chosen not to accept applicants from your region.
8
Remote Graduate Trainee - Data Analysis
PL1 1AA Plymouth, South West
£25000 annum (pro-
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization committed to leveraging data for strategic decision-making, is looking for enthusiastic and motivated Graduate Trainees to join their fully remote Data Analysis team. This exciting internship opportunity, coordinated from Plymouth, Devon, UK , is designed for recent graduates eager to kick-start their careers in data science and analytics. You will have the chance to work on real-world projects, gain hands-on experience with powerful data tools, and learn from experienced data professionals in a supportive, remote environment. This program offers comprehensive training and development, setting you up for a successful career in data analysis.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop reports and visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in building predictive models and analytical solutions.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of data dashboards and performance tracking tools.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Stay updated on the latest trends and tools in data analysis and data science.
Qualifications:
- Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data manipulation tools or programming languages (e.g., SQL, Python, R) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A keen eye for detail and a commitment to accuracy.
- Enthusiasm for learning and developing new skills in data analytics.
- Must be eligible to work in the UK.
This advertiser has chosen not to accept applicants from your region.
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