17 Databases jobs in the United Kingdom

**Job Title: Solution Specialist Databases

Department: Specialized Sales

Reports To: Sales Director – Data & Analytics Solutions

Location: London, UK – Hybrid Working

Segment: Pharma & Biotech***About Springer Nature Group**Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.Visit group.springernature.com and follow @SpringerNature / @SpringerNatureGroup**About the Role***Become Part of a Success Story*In the Solution Specialist team, we think a differently.

We proactively engage and influence key opinion leaders across corporate organisations to drive revenue growth through our suite of trusted databases. This approach has delivered consistent growth over the past seven years.We are now hiring for a new business-focused role aimed at acquiring customers for our Pharma Solutions portfolio, including Adis Insight, a scientifically robust drug pipeline database, and our newly launched AI-powered pharmacovigilance solution.If you're an experienced, self-motivated sales hunter who thrives on the challenge of winning new business and takes pride in every deal, this is the role for you. You’ll join a purpose-driven team of dedicated Solution Specialists.While each team member has individual territories and revenue targets, we foster a culture of knowledge sharing and continuous learning.**Key Responsibilities*** Secure strategic new business wins across Europe, contributing to consistent year-over-year revenue growth* Accelerate market entry for new products* Expand influence within customer organisations* Contribute to department-wide knowledge sharing and product development**Experience & Skills***Essential** Proven experience of commercial new business, engaging with safety, competitive intelligence, and commercial teams in pharmaceutical and biotech sectors* Proven track record of successfully acquiring new client logos* Strong relationship management skills across pharma functions* Demonstrated agility in learning and executing in fast-paced environments* Ability to adapt to evolving product capabilities and customer needs*Desirable** Ability to understand complex customer needs and position solutions effectively through a consultative approach.* Pharma Market Knowledge* Data Literacy: comfort with interpreting and discussing data-driven insights, especially in the context of pharma intelligence.* Experience working with product, marketing, and customer success teams to drive customer outcomes.**What You Can Expect from Us*** The opportunity to work for a global, innovative company* Competitive salary and bonus plan* A professional onboarding program with extensive product and sales training* Access to a wide range of online resources for self-development* A results-driven, collaborative environment* Strong team support and ongoing sales-focused coachingAt Springer Nature, we value the diversity of our teams and work to build an inclusive culture where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture, and develop the very best talent. Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here:If you have any access needs related to disability, neurodivergence, or a chronic condition, please contact us so we can make all necessary accommodations.For more information about career opportunities in Springer Nature please visit#LI-AC1We are an ambitious and dynamic organisation, and home to some of the best-known names in research, educational and professional publishing.Working at the heart of a changing industry, we are always looking for great people who care about delivering quality to our customers and the communities we work alongside. In return, you will find that we open the doors to discovery for all our employees – offering opportunities to learn from some of the best in the business, with a culture that encourages curiosity and empowers people to find solutions and act on their instincts. Whether you are at the beginning of your career or are an experienced professional, we invite you to find out more about the roles we offer and explore our current vacancies.We are a global and progressive business, founded on a heritage of trusted and respected brands – including Springer, founded in 1842, Macmillan, founded in 1843 and Nature, first published in 1869.Nearly two centuries of progress and advancement in science and education have helped shape the business we are today. Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services. Springer Nature Group was created in May 2015 through the combination of Nature Publishing Group, Macmillan Education and Springer Science+Business Media.n#J-18808-Ljbffrn

Overview

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Databases to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.nPossessing a deep understanding of AWS products and services, as a Delivery Consultant - Databases you will be proficient in work with customers to migrate their database environments to AWS, architecting complex, scalable, and secure database solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.nAs trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Responsibilities

Designing and implementing complex, scalable, and secure AWS database solutions tailored to customer needsnProviding technical guidance and troubleshooting support throughout project deliverynCollaborating with stakeholders to gather requirements and propose effective migration strategiesnActing as a trusted advisor to customers on industry trends and emerging technologiesnSharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Eligibility

Eligibility requirement:nThis role requires you to be a Swedish National and have business level proficiency in the Swedish language

BASIC QUALIFICATIONS

5+ years of experience in cloud architecture and implementationn3+ years of experience on at least one commercial relational database (Oracle, SQL, Server, IBM, DB2) or open source database (MySQL, PostgreSQL, MariaDB)nKnowledge on non-relational database (MongoDB, CouchDB, Redis)nBachelor's degree in Computer Science, Engineering, related field, or equivalent experiencenAbility to communicate effectively in English in technical and business settings

PREFERRED QUALIFICATIONS

3+ years of external or internal customer facing, complex and large scale implementation experiencenExperience with automation and scripting (e.g., Terraform, Python)nExpertise in performance optimization and cost management for cloud environments and an ability to manage multiple projects and priorities in a fast-paced environmentnAWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)nKnowledge of the primary AWS services (EC2, ELB, RDS, Route53, S3)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffrn

AWS Public Sector Senior Cloud Architect - Databases

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant - Databases to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Senior Delivery Consultant - Databases you will be proficient in working with customers to migrate their database environments to AWS, architecting complex, scalable, and secure database solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.nEligibility requirement:

This role requires you to be a Swedish National and have business level proficiency in the Swedish languagenResponsibilities

Designing and implementing complex, scalable, and secure AWS database solutions tailored to customer needsnProviding technical guidance and troubleshooting support throughout project deliverynCollaborating with stakeholders to gather requirements and propose effective migration strategiesnActing as a trusted advisor to customers on industry trends and emerging technologiesnSharing knowledge within the organization through mentoring, training, and creating reusable artifactsnDay in the life

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.nAbout the team

Diverse Experiences. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.nWhy AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.nInclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.nMentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.nWork/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.nBASIC QUALIFICATIONS

- 7+ years of experience in cloud architecture and implementationn- 5+ years of experience on at least one commercial relational database (Oracle, SQL, Server, IBM, DB2) or open source database (MySQL, PostgreSQL, MariaDB)n- Knowledge on non-relational database (MongoDB, CouchDB, Redis)n- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experiencen- Ability to communicate effectively in English in technical and business settingsnPREFERRED QUALIFICATIONS

- 5+ years of external or internal customer facing, complex and large scale implementation experiencen- Experience with automation and scripting (e.g., Terraform, Python) and expertise in performance optimization and cost management for cloud environmentsn- Ability to manage multiple projects and priorities in a fast-paced environmentn- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) and knowledge of the primary AWS services (EC2, ELB, RDS, Route53, S3)nAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffrn

AWS Public Sector Senior Cloud Architect - DatabasesnThe AWS Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant - Databases to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Senior Delivery Consultant - Databases you will be proficient in working with customers to migrate their database environments to AWS, architecting complex, scalable, and secure database solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Eligibility requirement

This role requires you to be a Swedish National and have business level proficiency in the Swedish language

Responsibilities

Designing and implementing complex, scalable, and secure AWS database solutions tailored to customer needs

Providing technical guidance and troubleshooting support throughout project delivery

Collaborating with stakeholders to gather requirements and propose effective migration strategies

Acting as a trusted advisor to customers on industry trends and emerging technologies

Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

A day in the lifenThe AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

About the teamnDiverse Experiences. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?nAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team CulturenAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career GrowthnWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life BalancenWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

- 7+ years of experience in cloud architecture and implementation

- 5+ years of experience on at least one commercial relational database (Oracle, SQL, Server, IBM, DB2) or open source database (MySQL, PostgreSQL, MariaDB)

- Knowledge on non-relational database (MongoDB, CouchDB, Redis)

- Bachelor’s degree in Computer Science, Engineering, related field, or equivalent experience

- Ability to communicate effectively in English in technical and business settings

PREFERRED QUALIFICATIONS

- 5+ years of external or internal customer facing, complex and large scale implementation experience

- Experience with automation and scripting (e.g., Terraform, Python) and expertise in performance optimization and cost management for cloud environments

- Ability to manage multiple projects and priorities in a fast-paced environment

- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) and knowledge of the primary AWS services (EC2, ELB, RDS, Route53, S3)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffrn

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
Join the newly formed Computational Sciences Center of Excellence (CoE) as a Data Modeling Expert, a key role within our Data Connectivity team. You will serve as a key contributor in the data modeling, semantics, ontologies, and standards space, ensuring our data are FAIR (Findable, Accessible, Interoperable, and Reusable), high-quality, and trustable; enabling scientists, computational tools, and AI algorithms from across our Research and Early Development (REDs) organizations to effectively leverage and utilize these data assets.
As our Data Modeling Expert, you will:
+ Act as a key subject matter expert on data modeling, ontologies, semantics, and standards efforts, interfacing closely with business/scientific stakeholders and informatics/engineering colleagues.
+ Translate complex scientific requirements from various parts of R&D into clear draft data models that can be leveraged by the wider FAIR data modeling team.
+ Independently contribute to and on occasion drive the development of data models and standards and/or information architecture solutions potentially leading function-level efforts related to FAIR data processes relating to data modeling, standards development and/or information architecture.
+ Independently contribute to and on occasion drive strategies that ensure pan-RED Roche data is ready for AI/ML (AI data readiness), potentially leading tactical efforts around AI/data policies in partnership with other colleagues in the broader team.
+ Independently contributes to and on occasion drive efforts that enable data quality tracking, potentially leading strategies that allow us to track and measure data quality (e.g. tracking how well annotated xRED data is).
+ Foster a OneRoche data-centric mindset within the team, advocating for data standards, governance, and FAIR principles.
+ Contribute to the development, implementation and improvement of Data Governance strategies as it relates to data standards.
**Who You Are:**
+ You hold a Master's degree or higher in a scientific or technical field.
+ Experienced in Data Governance, Data Standards, Data Modeling, Ontology Development, or related fields.
+ You are proficient in one or more critical relevant scientific or data domains, and are able to provide leadership to initiatives based on that knowledge.
+ You are an exceptional communicator with strong networking capabilities, able to build relationships and lead effectively in a matrixed organization.
+ You have experience working within a Research & Development organization and have a deep understanding of its processes and data handling activities.
#ComputationCoE
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

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:

• 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.

Qualifications:

• 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.

The role is based in Edinburgh, Scotland, UK , but is a 100% remote position available to candidates across the UK.

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:

• 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.

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:

• 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.

Qualifications:

• 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.

Our client, a prestigious financial services firm, is seeking a highly skilled Senior Data Scientist to join their innovative Risk Management division. This role is based in Glasgow, Scotland, UK , and requires a deep understanding of statistical modeling, machine learning, and data analysis within the financial sector. You will be responsible for developing and deploying advanced models to assess and mitigate financial risks, contributing significantly to the firm's stability and strategic decision-making. This is an on-site position, offering an excellent opportunity to collaborate with a team of experts in a dynamic environment.

Responsibilities:

• Design, develop, and implement sophisticated data models using machine learning and statistical techniques to identify, measure, and manage financial risks.
• Analyze large, complex datasets to uncover trends, patterns, and insights related to market risk, credit risk, and operational risk.
• Collaborate with risk managers, traders, and other stakeholders to define risk modeling requirements and objectives.
• Validate and back-test models to ensure their accuracy, reliability, and compliance with regulatory standards.
• Develop and maintain production-ready code for model deployment and monitoring, using languages such as Python or R.
• Conduct scenario analysis and stress testing to evaluate the potential impact of adverse market conditions.
• Contribute to the continuous improvement of risk management frameworks and methodologies.
• Prepare clear and concise documentation and present findings and recommendations to senior management and regulatory bodies.
• Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
• Ensure all modeling activities comply with internal policies and external regulatory requirements.

Qualifications:

• Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or Economics.
• Minimum of 5 years of experience as a Data Scientist or in a similar role within the financial services industry, with a focus on risk modeling.
• Strong proficiency in Python or R, including experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of financial markets, various types of financial risk, and regulatory frameworks (e.g., Basel III).
• Experience with database technologies (SQL, NoSQL) and big data platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to a diverse audience.
• Ability to work effectively both independently and collaboratively within a team environment.

This is a challenging and rewarding role for a seasoned data professional looking to make a significant impact in the financial sector in Glasgow .