98 Business Intelligence Architect jobs in the United Kingdom

Lead Data Scientist - Financial Modeling

SR1 2AA Sunderland, North East £80000 Annually WhatJobs

Posted 8 days ago

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full-time
Our client, a leading financial institution, is looking for a highly skilled Lead Data Scientist to spearhead their advanced financial modeling initiatives. This fully remote role offers an exceptional opportunity to work on cutting-edge projects from the comfort of your home office, contributing significantly to our strategic decision-making processes. You will be at the forefront of developing sophisticated predictive models, risk assessment frameworks, and anomaly detection systems that drive profitability and mitigate financial risks.

As the Lead Data Scientist, you will guide a team of talented data scientists, fostering an environment of collaboration and technical excellence. Your responsibilities will encompass the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. A deep understanding of machine learning algorithms, statistical modeling, and time-series analysis is crucial. Experience with financial markets, quantitative finance, and regulatory compliance is highly advantageous. You will leverage your expertise in Python or R, along with libraries like TensorFlow, PyTorch, scikit-learn, and Pandas, to build robust and scalable solutions. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are also essential for handling large financial datasets.

We expect candidates to possess a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics. A minimum of 6 years of relevant industry experience, with a proven track record in financial modeling and a leadership capacity, is required. Excellent communication and presentation skills are vital for conveying complex findings to both technical and non-technical stakeholders. You will be instrumental in shaping our data-driven strategy, providing actionable insights that enhance financial performance and operational efficiency. This is a unique chance to make a substantial impact in a globally recognized financial organization, working remotely.
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Senior Data Scientist - Financial Modeling

SR1 1 Sunderland, North East £70000 Annually WhatJobs

Posted 10 days ago

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full-time
Our client, a highly respected financial services institution, is seeking an experienced Senior Data Scientist to lead the development and implementation of advanced financial models. This is a fully remote position, enabling you to contribute your expertise from anywhere in the UK. You will play a crucial role in leveraging data to drive strategic decision-making, optimize risk management, and enhance predictive capabilities within the firm.

Key Responsibilities:
  • Develop, validate, and deploy sophisticated predictive models for areas such as credit risk, market risk, fraud detection, and customer behavior analysis.
  • Clean, transform, and analyze large, complex datasets from various sources using statistical and machine learning techniques.
  • Collaborate closely with business stakeholders, data engineers, and other data scientists to understand requirements and deliver actionable insights.
  • Design and implement A/B tests and other experimental methodologies to evaluate model performance and business impact.
  • Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
  • Build robust data pipelines and automated reporting systems to support ongoing model monitoring and performance tracking.
  • Communicate complex findings and model methodologies clearly and concisely to both technical and non-technical audiences.
  • Mentor junior data scientists and contribute to the growth and development of the data science team.
  • Ensure compliance with all relevant regulations and data privacy standards.
  • Contribute to the strategic roadmap for data science initiatives within the organization.
  • Document all modeling processes, assumptions, and results thoroughly.
Qualifications and Skills:
  • Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
  • Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial modeling and analysis.
  • Proven expertise in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, clustering).
  • Proficiency in programming languages such as Python or R, and strong experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
  • Solid understanding of statistical concepts and methods.
  • Experience with SQL and working with relational databases; experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Familiarity with financial industry regulations and data governance principles.
  • Ability to work independently and effectively manage projects in a remote setting.
  • Demonstrated ability to translate business problems into data science solutions.
This is an exceptional opportunity for a skilled Data Scientist to lead impactful financial modeling initiatives within a leading financial services firm, all while enjoying the flexibility of a fully remote role. If you are passionate about data-driven insights and quantitative analysis in finance, we encourage you to apply.
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Principal Insurance Data Scientist (Risk Modeling)

PL1 1AA Plymouth, South West £80000 Annually WhatJobs

Posted 20 days ago

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full-time
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.
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Lead Data Scientist - Financial Risk Modeling

LS1 1 Leeds, Yorkshire and the Humber £70000 Annually WhatJobs

Posted 1 day ago

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Job Description

full-time
Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their financial risk modeling initiatives. This is a fully remote opportunity, allowing you to contribute your expertise from anywhere. You will be responsible for developing and implementing advanced statistical and machine learning models to assess, predict, and mitigate various financial risks, including credit risk, market risk, and operational risk. This role requires a deep understanding of financial regulations and a passion for leveraging data to drive sound financial decision-making.

Responsibilities:
  • Lead the design, development, validation, and implementation of sophisticated risk models using statistical and machine learning techniques.
  • Collaborate with risk management, compliance, and business units to identify key risk drivers and modeling requirements.
  • Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
  • Stay updated on regulatory changes and industry best practices in financial risk management.
  • Develop robust methodologies for model monitoring, performance evaluation, and recalibration.
  • Extract, clean, and transform complex financial datasets from various sources.
  • Present findings and model insights to senior management and regulatory bodies.
  • Ensure model documentation is comprehensive, accurate, and compliant with regulatory standards.
  • Evaluate and adopt new technologies and methodologies to enhance the firm's risk modeling capabilities.
  • Champion data-driven decision-making across the organization regarding risk assessment.

Qualifications:
  • Master's or Ph.D. in Statistics, Econometrics, Mathematics, Data Science, or a related quantitative field.
  • Extensive experience (7+ years) in financial risk modeling, with a proven track record of leading complex projects.
  • Proficiency in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series forecasting), and deep learning.
  • Strong programming skills in Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with SQL for data querying and manipulation.
  • Solid understanding of financial products, markets, and regulatory frameworks (e.g., Basel Accords, IFRS 9).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong leadership and team management capabilities.
  • Effective communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
  • Experience with data visualization tools is a plus.

This is an exciting opportunity to shape the future of risk management within a forward-thinking financial organization, all while enjoying the flexibility of a remote work environment. Join us and make a significant impact.
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Senior Data Scientist - Financial Risk Modeling

EC2N 1DL London, London £85000 Annually WhatJobs

Posted 2 days ago

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Job Description

full-time
Our client, a leading financial institution, is seeking a highly accomplished Senior Data Scientist to join their risk management division. This is a fully remote opportunity, allowing you to contribute to critical projects from anywhere. You will be at the forefront of developing and implementing advanced statistical and machine learning models to assess and mitigate financial risks, including credit risk, market risk, and operational risk. Your expertise will directly influence strategic decision-making and regulatory compliance. Key responsibilities include:
  • Designing, building, and deploying sophisticated predictive models for financial risk assessment using machine learning and statistical techniques.
  • Analyzing large, complex datasets to identify trends, patterns, and potential risk factors.
  • Validating and monitoring the performance of existing risk models, implementing improvements as needed.
  • Collaborating with risk managers, quants, and IT teams to integrate models into production systems.
  • Developing new methodologies for risk measurement and stress testing.
  • Communicating complex technical findings to non-technical stakeholders, including senior management.
  • Staying current with regulatory requirements (e.g., Basel III/IV) and industry best practices in risk modeling.
  • Mentoring junior data scientists and contributing to the team's technical growth.
  • Researching and applying novel data science techniques to enhance risk management capabilities.

The ideal candidate will possess a Ph.D. or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, or a related field. Extensive experience in data science, with a strong focus on financial risk modeling within the banking or finance sector, is essential. Proven proficiency in Python or R, along with experience in SQL and big data technologies (e.g., Spark, Hadoop), is required. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Excellent understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling techniques is mandatory. Strong communication and presentation skills are vital for presenting findings to diverse audiences. As this role is remote, you must demonstrate exceptional self-management and collaboration skills.
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Business Intelligence

London Borough of Redbridge

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1 Year Fixed Term Contract – Full Time
This is an exciting time to be working for the London Borough of Redbridge, we have an ambitious corporate plan that we are committed to delivering and we are in the process of shaping new work streams to fundamentally change the way that the council works in the future and uses its data. We are strengthening our approach to data and performance management whilst ensuring there is robust visibility of data, and appropriate processes in place deliver our statutory obligations and mitigate risk.

We are looking for a Business Intelligence and Data Officer on a 1 year fixed term basis to lead a central role in monitoring performance, identifying, and advising service weaknesses to support data collation and ensuring compliance to statutory reporting for Education and Inclusion. Skills should include transforming raw data into insightful and user-friendly dashboards including Power BI Development. This role involves working end-to-end from writing SQL queries to extract and shaping datasets, through to designing and publishing final dashboards in Power BI.

The role will lead on the process of enabling intelligence and data provision from our Education systems and will support the service to address and resolve identified issues and prevent the need of further data cleansing by embedding a positive performance management culture where data is recorded in a timely and accurate manner to support decision making and ensure compliance to Statutory Returns duties.

For further information or a discussion on this role please contact Damon Last

To apply for this post please complete the online application form and attach your CV and a Covering Letter addressing how you meet the criteria for the role as stated in the person specification.
All short-listed applicants will need to demonstrate proof of right to work in the UK.
We are committed to employment practices that promote diversity and inclusion in employment and welcome applications from qualified applicants regardless of age, disability, gender identity, sex, marriage and civil partnership status, pregnancy and maternity status, colour, race, religion, or belief.
1 Year Fixed Term Contract – Full Time
This is an exciting time to be working for the London Borough of Redbridge, we have an ambitious corporate plan that we are committed to delivering and we are in the process of shaping new work streams to fundamentally change the way that the council works in the future and uses its data. We are strengthening our approach to data and performance management whilst ensuring there is robust visibility of data, and appropriate processes in place deliver our statutory obligations and mitigate risk.

We are looking for a Business Intelligence and Data Officer on a 1 year fixed term basis to lead a central role in monitoring performance, identifying, and advising service weaknesses to support data collation and ensuring compliance to statutory reporting for Education and Inclusion. Skills should include transforming raw data into insightful and user-friendly dashboards including Power BI Development. This role involves working end-to-end from writing SQL queries to extract and shaping datasets, through to designing and publishing final dashboards in Power BI.

The role will lead on the process of enabling intelligence and data provision from our Education systems and will support the service to address and resolve identified issues and prevent the need of further data cleansing by embedding a positive performance management culture where data is recorded in a timely and accurate manner to support decision making and ensure compliance to Statutory Returns duties.

For further information or a discussion on this role please contact Damon Last

To apply for this post please complete the online application form and attach your CV and a Covering Letter addressing how you meet the criteria for the role as stated in the person specification.
All short-listed applicants will need to demonstrate proof of right to work in the UK.
We are committed to employment practices that promote diversity and inclusion in employment and welcome applications from qualified applicants regardless of age, disability, gender identity, sex, marriage and civil partnership status, pregnancy and maternity status, colour, race, religion, or belief.

This advertiser has chosen not to accept applicants from your region.

Business Intelligence Developer

Leicestershire, East Midlands Harnham

Posted today

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Job Description

BI Developer

Leicestershire (Hybrid)

£45,000-£50,000


The Company


An exciting opportunity for a Power BI Developer to join a major UK retail organisation’s finance team, working closely with their analytics function to drive data storytelling, reporting automation, and self-service analytics adoption across the business


The Role


Reporting to the Analytics Manager, you’ll collaborate with SQL engineers and finance stakeholders to deliver high-impact Power BI dashboards supporting four key areas:

  1. Accounts Payable – Supplier payments
  2. Cash Accounting – Cash flow monitoring (Amex, PayPal, etc.)
  3. Commercial Services – Store essentials (e.g., hangers, bags)
  4. Operations – Stock levels across stores, warehouses, and tills

Key Responsibilities:

  • Develop and maintain Power BI dashboards tailored to finance and operational functions.
  • Work closely with business users to gather requirements and translate them into actionable visualisations.
  • Utilise data storytelling to enable insight-driven decision-making.
  • Support the business in transitioning to self-service analytics, reducing ad hoc reporting.
  • Contribute to the team’s shift toward a gold-standard Medallion Architecture


Your Skills & Requirements


  • PL-300 Certified (Microsoft Power BI Data Analyst Associate ) – please ensure this is explicitly listed on your CV!


How To Apply


Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Business Intelligence Manager

The Executives in Sport Group

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Business Intelligence Manager - Championship Football Club


We're delighted to be partnering with a Championship Football club by helping them hire their next Business Intelligence Manager. This is an exciting opportunity for someone to play an integral role in the club's transition into a global brand.


The Role


You'll be facilitating data-informed decision making and equipping members of the sales team with the data and insights required to win new business. This role will play an important part in developing business processes and ensuing an agile approach to changing market trends and behaviours. A key focus of the role will be in developing the club’s brand partnership offering to deliver long term revenue growth.


Key Responsibilities Include

  • Constantly striving to enhance and develop the commercial department’s use of data and analytics to support performance and revenue growth.
  • Constructing creative and compelling arguments through data and insights to substantiate and support brand pitching process to deliver revenue growth.
  • Harnessing zero and first-party data to support brand objectives and KPIs to deliver ROI.
  • Building global brand prospecting lists for target outreach, sourcing accurate contact info and providing key data points to increase response rate.
  • Supporting partner delivery team with data and insights for quarterly partner reporting and ad hoc requests to maximise partnership performance and ensure first class client service.
  • Ensuring collaboration and sharing of information across departments to ensure a unified approach and collective responsibility for achieving growth targets.
  • Compiling and analysing weekly revenue reports across all commercial revenue.


What We're Looking For

  • Highly curious and analytical with passion for solving problems and identifying trends in data
  • Excellent understanding of the commercial landscape in sports and entertainment
  • Successful track record of identifying and analysing new brand prospects which have led to new partnerships
  • Commercially minded with demonstrable ability to identify how a brand and its objectives align with the Club’s partnership offering
  • Creative mindset with ability to think laterally to solve problems and find solutions through data


If this role is of interest, then please press the apply button and include a copy of your CV.


We ask that applicants complete our diversity monitoring form. You are not obliged to answer any of these questions but the more information you supply, the more effective our monitoring will be. All information supplied is anonymous and will not be viewed by recruiting managers.


(Please copy and paste in to your browser)


Please note that due to the volume of applications received, we are unable to provide specific feedback on unsuccessful applications.

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Business Intelligence Analyst

Chorley, North West Langham Recruitment

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Business Intelligence Analyst | Chorley / Hybrid | Includes Car or Car Allowance


We’re looking for a Business Intelligence Analyst to join a well-established company in Chorley on a hybrid basis (3x a week onsite). This is an exciting opportunity to shape data-driven decision making in a growing organisation.


You’ll use data and reporting tools to help the business make informed decisions, gathering, cleaning and analysing information to deliver clear and meaningful reports and dashboards. You’ll work across Power BI and ERP report writing tools.


Key Responsibilities:

  • Develop and maintain dashboards and reports using Power BI and SQL
  • Translate business needs into effective data solutions
  • Ensure data quality and accuracy across systems
  • Communicate insights clearly to stakeholders at all levels


About You:

  • Experience in a similar BI / Data Analyst role
  • Strong skills in SQL, Power BI and Excel
  • Experience with Microsoft Flows, Power Automate, or Azure Data Factory (desirable)
  • Excellent analytical, problem-solving and communication skills
  • ERP reporting writing experience (desirable)


Package:

  • Competitive salary & pension
  • Company car or car allowance
  • Health cash plan and wellbeing support
  • Hybrid working (3 days in the office)
  • Flexible working and two paid volunteering days annually
  • Ongoing training and development opportunities
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Business Intelligence Analyst

London, London Pearse Professionals

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Job Description

Business Intelligence Analyst

Location: London

Department: Business Development

Reports To: VP Business Development

Type: Full-time | Permanent | Hybrid


Company Overview

Oriflame is a global beauty and wellness company founded in Sweden, with over 55 years of heritage and generating sales of over €604 million in 2024. Operating in over 60 countries worldwide, we offer high-quality, accessible products while empowering individuals to build their own businesses through a trusted and sustainable direct-selling model.

We are now embarking on an exciting transformation journey, modernising how we work, embracing digital and social commerce channels and rolling out strategic change initiatives across the business. At Oriflame, you’ll find the scale and stability of a global company combined with agility and an entrepreneurial spirit. Our people thrive on innovation, collaboration, and continuous development.


The Role

We are looking for an analytical and commercially minded Business Intelligence Analyst to join our global Business Development team. You will bring in fresh thinking, new ideas, and a proactive mindset to shape commercial decisions and strategy. You will report to the VP Business Development and work closely with colleagues across Finance and commercial teams, at a global level.

The role offers strong exposure to senior stakeholders and diverse markets, with plenty of opportunity to grow through collaboration on global projects and strategic business initiatives.


Key Responsibilities

  • Research and track market, consumer, and competitor trends in the industry to support commercial decision-making.
  • Deliver deep business analysis on internal performance, to identify opportunities for improved growth, efficiency, and profitability.
  • Connect external market insights with internal data to create a holistic, 360° view that drives smarter strategic decisions.
  • Translate complex data into clear insights , building reports and presentations to support senior decision-making.
  • Work closely with Business Development, Marketing, Sales, Digital and Finance to provide actionable intelligence that informs strategic initiatives.
  • Prepare and present market reports, competitor benchmarking, and business reviews to senior stakeholders.
  • Support evaluation of new market opportunities as part of business planning and innovation processes.
  • Act as a trusted voice of intelligence across the organisation, helping teams stay ahead of market trends, emerging risks, and strategic opportunities.
  • Contribute to the development and improvement of BI processes, tools, and reporting structures to enhance business insight capabilities.


Candidate Experience & Skills

  • 5 years’ experience in Business Intelligence, Market Research or Strategic Analysis.
  • Proven ability to translate complex data into clear, actionable insights and influence business outcomes.
  • Strong data analysis skills using tools such as Excel, Power BI/Tableau , or similar.
  • Confident communicator with excellent storytelling skills and ability to engage senior stakeholders with clarity and impact.


Personal Attributes

  • Self-starter who takes ownership and is proactive in identifying opportunities for analysis and improvement.
  • Commercially curious with strong critical and creative thinking skills.
  • Detail-oriented with the ability to connect the dots across datasets and business questions.
  • Comfortable working independently while collaborating across functions in a dynamic, fast-paced environment.
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