38 Data Analyst Consultant R D jobs in Islington

**Who Are We?**
Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
**Job Category**
Data Analytics, Operations, Product
**Target Openings**
1
**What Is the Opportunity?**
We are seeking a Strategic Data and Analytics Consultant to join our Distribution team.
In this role, you will be responsible for overseeing the production and analysis of internal data sourced from multiple core reporting systems. In addition, the role will manage and interpret data and insights provided by our key strategic broker partners, including analytics and pipeline information.
As the Strategic Data and Analytics Manager, you will use data and analytics to conduct complex analysis to quantify insights, identify opportunities and drive strategic decision making. You will design actionable, meaningful success metrics, and monitor and evaluate outcomes to identify further optimisation opportunities. You will communicate business results effectively across a range of stakeholders, including senior leadership. Leveraging your understanding of the business, you will act as a strategic partner, collaborating with functional teams across the business to consult on business priorities, align data solutions with overarching goals and help shape the future direction of data and analytics.
Travelers Europe currently offers flexibility to employees who wish to work on a hybrid basis in accordance with our Hybrid Work Arrangements Policy. This entails full time employees working three days a week in the office and two days at home (or pro rata for part-time employees). This policy may be changed at the Company's discretion.
**What Will You Do?**
+ Use descriptive, diagnostic analysis and exploratory data analysis to identify business trends, translate insights into business value, and influence business decisions
+ Monitor and interpret complex data to recognise patterns and identify trends to support the business performance
+ Work with and manipulate multi-level dimensional data towards the ultimate design required to meet business requests
+ Monitor business results to determine if desired results are achieved
+ Propose and influence recommendations to management
+ Design and produce standardised reporting for strategic

Senior Data Analytics Engineer - London |

Transform data into strategic advantage at one of the world's leading Investment firms

Are you ready to shape the future of data analytics? Join a globally recognised investment firm, managing billions in capital commitments and pioneering innovative liquidity solutions.

The Opportunity

Step into a dynamic role within the Data Intelligence & Analytics team, wh.

WHJS1_UKTJ

Purpose

Energy Aspects currently have an exciting opportunity available for a Data Analytics Manager experienced manager to join our highly regarded team, helping build our internal analytics and client-facing products.

Combined with your advanced technical skillset, you will have professional experience in statistics, modeling or data analysis and a desire to work in the energy industry.

Duties and Responsibilities:

• 6 years' of experience

• Excellent communication skills, comfortable managing global teams

•  Value driven and can-do attitude

• Able to balance delivery across a wide range of tasks and projects

Python:

•  Ability to write clean, well-structured, production-level code with an excellent understanding of best practices and architecture

• Excellent understanding of software development life cycle best practices (dependency management, code reusability, version control, cloud deployment)

SQL:

• Ability to build efficient queries across complex data models

• Ability to understand and update existing data models

• Ability to design new data models

Cloud:

• Experience with cloud data platforms (GCP / AWS / Azure) (we use GCP)

Desirable skills:

• Understanding of unstructured data, NoSQL and graph databases

• Experience with web application frameworks would be highly beneficial (we use Flask / Dash)

• Use of JIRA or other work management tools

• Energy sector experience is not essential but would be advantageous.

About us:

 Founded in 2012, we are an independent research consultancy that has enjoyed phenomenal growth since our inception, and we have very ambitious plans to continue our upwards growth trajectory. We are passionately committed to providing indispensable and industry-leading short, medium and long-term analysis, and forecasts of the energy markets, that helps our clients trade, invest, finance and plan.

Energy Aspects prides itself in the quality of its work and draws on a wide range of competencies to derive its views. The company is staffed with experts in upstream production, trading and econometric forecasting. It has always maintained a key focus on the geopolitics of the energy industry and the impacts they can have in shaping global markets. The company has in recent years acquired several firms to enhance its position in energy market consultancy including Medley Global Advisors (2020), OilX (2022) and INAS (2023) bringing additional expertise in macro trends, oil market data and paper positioning into the group. The company is also growing its offering to clients on the energy transition providing the tradeable insights on long-term trends.

Life at Energy Aspects:

With accreditation from Best Companies, we understand the importance of workplace engagement and holding sincere appreciation for our team. Our environment is characterised by its fast-paced, driven, collaborative, and dynamic ethos. Recognising and rewarding contributions that have played a part in our remarkable journey of growth.

Joining Energy Aspects, you become a part of our vibrant and sociable team. Here, you'll have the opportunity to participate in activities, from running and five-a-side football to joining our lunch gatherings and brand-new Chess club. Our in-house bar, the Nodding Donkey, offers a casual setting for Friday afternoon unwinding.

Located in Canary Wharf with convenient access around London, our location offers nearby amenities such as shopping, gyms, dining, and lively bars. We provide daily refreshments, including fruit, hot drinks, snacks, and the expert services of an in-house barista twice a week, along with occasional exotic treats inspired by our global adventures.

Our compensation packages encompass a yearly bonus, participation in a company share options scheme, private health insurance, life assurance, income protection, pension contributions, subsidised gym memberships, and holiday allowance.

Your fit:

We offer a hard-working and rewarding environment, operating alongside well-respected market thought leaders as part of a collaborative and tight-knit team. We have attractive remuneration, an excellent benefits package, and a high-performance culture that enables you to undertake challenging and exciting projects. We are an enthusiastic and inclusive global team.

Energy Aspects is proud to be an equal opportunity employer and promotes diversity within its workforce. As an international business we are determined that suitably qualified persons will never receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any other basis covered by appropriate law.

**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
MUFG (Mitsubishi UFJ Financial Group) is one of the world's leading financial groups. Headquartered in Tokyo and with approximately 350 years of history, MUFG is a global network with around 2,300 offices in over 50 countries including the Americas, Europe, the Middle East and Africa, Asia and Oceania, and East Asia. The group has over 150,000 employees, offering services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing.
As one of the top financial groups globally with a vision to be the world's most trusted, we want to attract, nurture and retain the most talented individuals in the market. The size and range of MUFG's global business creates opportunities for our employees to stretch themselves and reap the rewards, whilst our common values, to behave with integrity and responsibility, and to build a culture which is fair, transparent, and honest, underpin everything that we do. We aim to be the financial partner of choice for our clients, whatever their requirements, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
Please visit our website for more information - mufgemea.com.
**NUMBER OF DIRECT REPORTS**
**MAIN PURPOSE OF THE ROLE**
Data Analytics (DA) Audit Managers are responsible for managing the delivery of data analytics audit engagements, working with business and functional audit teams to devise effective and efficient strategies to test key controls, driving insights that support the internal audit conclusions. DA Audit Managers will be responsible for the delivery of data analytics across multiple audit engagements. DA Audit Managers will have a strong analytical background, and the ability to communicate findings effectively to stakeholders, strong project management skills, embed agile into their audit delivery, be structured in their approach to work role-modelling a culture of high performance and continuous improvement, and will be able to manage and prioritise work effectively driving a sense of urgency to complete tasks within short turnaround times. Delivery and execution of all engagements must adhere to audit methodology and standards, meet established deadlines, and include formal sign-offs of key documents and processes within the audit file.
**KEY RESPONSIBILITIES**
Specifically, you will be accountable and responsible for taking appropriate action with respect to MUFG Internal Audit, EMEA (EIA), including:
**Audit Delivery and Planning**
+ **Responsible** for the maintenance of the data analytics strategy and plan delivery
+ **Responsible** for supporting the Audit Directors/Senior Audit Managers to dynamically manage the data analytics plan for the EIA portfolio considering whether it remains relevant throughout the year, proposing changes as appropriate. Escalate any challenges that might impact the data analytics plan and timelines to Audit Directors /Senior Audit Managers in a timely manner.
+ **Responsible** for the delivery of assigned data analytics audit engagements within the data analytics plan for the EIA portfolio time and within EIA Key Performance Indicators (KPIs), with limited supervision and to the required methodology and Quality Assurance standards. In particular:
+ Project manage the collection, processing and analysis of large datasets to identify trends, patterns and insights that support the delivery of assigned elements of audit engagements including issue validation and continuous monitoring
+ Evaluate risks for the assigned audit engagements and devise effective and efficient strategies, using data analytics, to test key controls
+ Ensure data quality and integrity by implementing robust data governance techniques
+ Utilise advanced analytical techniques and tools to perform prescriptive and predictive analytics
+ Monitor own delivery of tasks effectively and deliver within the deadline set; and meet interim milestones and avoid overruns. Timely document workpapers to the required methodology and Quality Assurance Standards
+ When requested, attend meetings or regular touchpoints with relevant stakeholders to ensure that analytical methodologies, processes and findings are understood and support any challenges
+ Document analytical methodologies, processes and findings to meet all QA standards.
+ **Responsible** to support audit teams in translating data findings into individual issues that are written for executive audience - impactful, clear key messages, factual, active voice and written in line with effective business writing requirements and needing minimum edits by Audit Directors/ExCo/CAE.
+ **Responsible** for supporting the Audit Directors to provide clear, concise and accurate senior executive and governance committee papers on time - including Audit Committee, Risk Committee, Control Environment and MCA Opinions.
**Stakeholder Relationships**
+ **Responsible** for promoting the adoption of data analytics in the delivery of the Internal Audit plan in line with the EIA strategy
+ **Responsible** for leading internal audit teams, business and functional, to understand their relevant data needs, provide tailored analytics use cases and embed the use of data analytics in Audit delivery
+ **Responsible** for developing constructive, collaborative relationships with relevant stakeholders (as assigned by the Director) providing a commercial perspective and effective challenge and guidance as 'an independent respected' voice. Share best practices and feedback from industry network and other external sources; partner on initiatives and remediation activities. Support the One MUFG and overall Group strategy.
+ **Responsible** for establishing regular meetings with any assigned stakeholders, building trust, and bringing a collaborative mindset and a calibrated view on risk when providing check and challenge.
+ Where assigned by the Audit Director /Audit Manager, **responsible** for partnering with relevant stakeholders to demonstrate how data analytics support Audit conclusions and influence through tangible outcomes and raised standards of controls and behaviours in the Stakeholders Control Environment. . Responsible for generating their own ideas to achieve the same goal.
+ **Responsible** for supporting EIA in governance fora, working groups and relevant committees as assigned by Audit Directors/ExCo /CAE in the capacity required.
+ **Responsible** for supporting the embedding of the agile framework to improve frequency and quality of stakeholder interaction during audit engagements. Collaborate with stakeholders to achieve effective agile outcomes - remove blockers, achieve shorter audit execution times, improve the stakeholder experience.
+ **Responsible** for identifying opportunities to show broader enterprise wide leadership outside the function, through I&D type roles, thematic analysis or integrated assurance work.
+ **Responsible** for communicating with Executive presence to management - focus on being crisp in communication.
**Leadership and Team Transformation**
+ **Responsible** for actively participating in the development and implementation of the long-term vision, strategy and target operating model of Internal Audit. In particular, responsible to:
+ Demonstrate a culture of high performance and continuous improvement. Set high standards of performance and behaviour for self and the Analysts. Display a sense of urgency to complete tasks within short turnaround times and holding others accountable for non/late delivery of required tasks or quality.
+ Demonstrate personal leadership and engagement. Demonstrate curiosity - seek out new experiences, ideas and knowledge, seek feedback and learn new things to develop. Learn from mistakes in the organisation and the industry.
+ Lead /effectively support initiatives to increase efficiency and effectiveness, including the use of Data Analytics to enhance audit testing and oversight.
+ Own the message - consistently support strategic messages and plans, overcome resistance and drive progress and cultural change through the team.
+ Actively engage and participate in MUFG Inclusion & Diversity initiatives and the various EMEA Employee Networks.
+ Look for opportunities to actively participate in "Enterprise Wide" leadership initiatives outside of EIA.
+ Demonstrate awareness of key industry topics and share relevant read-across topics within EIA and with the stakeholders as assigned by the Senior Audit manager/Audit Director.
**Inspire the team and improve people practices and career development within EMEA IA**
+ **Responsible** for supporting the Audit Director and Senior Audit Manager to develop a high performing team through quality of performance and talent management, motivation and inspiration of more junior staff, and promoting a positive workforce culture. In particular, **responsible** to:
+ Collaborate with Audit Directors, Senior Audit Managers and ExCo to deliver the MUFG Audit Vision and Strategy, and a united vision to our people. Create a common employee experience.
+ Drive an output-orientated culture through flexibility with hybrid working, embracing new ways of working (including MS Teams) and ensuring 3 day required office attendance.
+ Drive and create a safe working environment that upholds MUFG and EIA culture principles especially those related to D&I, Speak up Listen up.
+ Flex communication style to more effectively build relationships within the team and with stakeholders.
+ Create trust with staff, role model vulnerability and act on feedback in the right way to facilitate upwards feedback. Actively coach other AVPs and analysts on audit tasks and enable employee and team development. Provide regular balanced, positive and high-quality constructive feedback and deliver the tough messages promptly when required.
+ Drive and create opportunities to increase staff engagement and recognise and celebrate individual and team success
**SKILLS AND EXPERIENCE**
**Technical Capability**
+ 5-7 years of experience in data analytics, with at least 3 years in a managerial role. Preferably within the Financial Services industry and in an Internal Audit or other Risk/ Control function
+ Demonstrated experience in leading data analytics projects and managing a team
+ Strong quantitative and analytical skills with the ability to interpret complex data and generate insights that support Audit delivery and conclusions
+ Strong understanding of risk and control environment to evaluate risks for the assigned audit engagements and devise effective and efficient strategies to test key controls
+ Proficiency in SQL, Python, R, or other programming languages used for data analytics
+ Experience with data visualisation tools such as Tableau, Power BI or other
+ Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders
+ Strong problem solving skills and attention to detail with the ability to manage multiple priorities and deliver high quality audit work products meeting IA KPIs and QA standards
+ Ability to work effectively in a matrix organisation and effectively collaborate with functional and business teams and stakeholders in Internal Audit and across the organisation
**PERSONAL REQUIREMENTS**
+ Excellent communication skills
+ Results driven, with a strong sense of accountability
+ A proactive, motivated approach.
+ The ability to operate with urgency and prioritise work accordingly
+ Strong decision making skills, the ability to demonstrate sound judgement
+ A structured and logical approach to work
+ Strong problem solving skills
+ A creative and innovative approach to work
+ Excellent interpersonal skills
+ The ability to manage large workloads and tight deadlines
+ Excellent attention to detail and accuracy
+ A calm approach, with the ability to perform well in a pressurised environment
+ Strong numerical skills
**PERFORMANCE AND DUTIES**
The role holder will be assessed in accordance with their employing entity's performance framework and process with relevant input obtained from the dual hatting entity as relevant.
As duties and responsibilities change, the job description will be reviewed and emended in consultation with the role holder. The role holder will carry out other duties as are within the scope, spirit and purpose of the role as requested by their line manager or Department Head.
**MANAGING CONFLICTS OF INTEREST**
+ The role holder will have responsibilities for both MUFG

Join our rapidly expanding team as a **hands-on** Cloud Data Analytics Platform Engineer and play a pivotal role in shaping the future of data at Citi. We're building a cutting-edge, multi-cloud data analytics platform that empowers our users with secure, scalable, and efficient data insights. This role sits at the intersection of infrastructure, data engineering, and architecture, offering a unique opportunity to work with the latest cloud-native technologies and influence our data strategy. This is a hands-on role requiring deep technical skills and a passion for building and optimizing data platforms.
**What You'll Do:**
+ **Architect and Build:** Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience. **(Required)**
+ **Data Lake , Data Zone, Data Governance:** Design, build, and manage data lakes and data zones within our cloud environment, ensuring data quality, discoverability, and accessibility for various downstream consumers. Implement and maintain enterprise-grade data governance capabilities, integrating with data catalogs and lineage tracking tools to ensure data quality, security, and compliance. **(Required)**
+ **Infrastructure as Code (IaC):** Champion IaC using Terraform, and preferably other tools like Harness, Tekton, or Lightspeed, developing modular patterns and establishing CI/CD pipelines to automate infrastructure management and ensure consistency across our environments. **(Required, with expanded toolset)**
+ **Collaboration and Best Practices:** Work closely with data engineering, information security, and platform teams to define and enforce best practices for data infrastructure, fostering a culture of collaboration and knowledge sharing. **(Required)**
+ **Kubernetes and Orchestration:** Manage and optimize Kubernetes clusters, specifically for running critical data processing workloads using Spark and Airflow. **(Required)**
+ **Cloud Security:** Implement and maintain robust security measures, including cloud networking, IAM, encryption, data isolation, and secure service communication (VPC peering, PrivateLink, PSC/PSA). **(Required) .** Your knowledge of compliance frameworks relevant to cloud data will be invaluable in maintaining a secure and compliant data environment. **(Optional)**
+ **Snowflake and Databricks (Optional, but highly desired):** Leverage your experience with Snowflake and Databricks to enhance our data platform's capabilities and performance. While not mandatory, experience with these technologies is a significant advantage.
+ **Event-Driven Architectures , FinOps and Cost Optimization (Optional):** Contribute to the development of event-driven data pipelines using Kafka and schema registries, enabling real-time data insights and responsiveness. Apply FinOps principles and multi-cloud cost optimization techniques to ensure efficient resource utilization and cost control.
**What You'll Bring:**
+ **Hands-on Engineering Expertise:** You're a builder who enjoys diving into the technical details and getting your hands dirty. You thrive in a fast-paced environment and are eager to make a direct impact.
+ **Experience : 5-8** years of relevant experience in Data Engineering & Infrastructure Automation
+ **Cloud Expertise:** Proven hands-on experience with AWS and/or GCP, including a deep understanding of their data analytics service offerings.
+ **Data Lake/Zone/Governance Experience:** Demonstrable experience designing, building, and managing data lakes and data zones. Familiarity with data governance tools and frameworks.
+ **IaC Proficiency:** Solid experience with Terraform and preferably Harness, Tekton, or Lightspeed for CI/CD pipeline management.
+ **Kubernetes Mastery:** Strong command of Kubernetes, especially in the context of data processing workloads.
+ **Security Focus:** A firm grasp of cloud security principles and best practices.
+ **Financial Services Experience:** Experience working in financial services, banking, or on data-related cloud transformation projects within the financial industry. (Highly Desired)
**We offer:**
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
+ 27 days annual leave (plus

In this role you’ll be responsible for Analytics & Data Engineering across Skin + Me, Hair + Me and Renew + Me. 

This is a hands-on senior IC role where you’ll combine technical depth with strategic influence.  You’ll design, build and scale our data foundations while guiding the business to use data as a strategic advantage.  Your work will directly impact core business outcomes: increasing lifetime value, reducing acquisition costs, scaling sign-ups and optimising spend.  

You’ll partner with the Senior Leadership Team (SLT) to develop the medium to long-term data strategy including people, processes and technology while also rolling up your sleeves to deliver data engineering, analytics and machine learning projects. 

This role will report directly to the CFO, with regular exposure to the CEO and SLT.  

What you’ll do: 

• Take total ownership of the data infrastructure across the business, to ensure we leverage data to maximise business and customer outcomes.  
• Strengthen and extend existing infrastructure designing complementary systems for new and growing business units.

• Develop robust data foundations to ensure we collect, and aggregate data to be able to answer important questions - and do so at scale, efficiently and with minimal downtime as the business changes and grows.
• Implement specific data projects - e.g.
• COGS modelling
• Metrics trees for CFO/Finance analysts.
• Automating ingestion of spend data from Meta/Google into our data warehouse.
• Own our data infrastructure - including operational table / logs scraping, pipelining, reporting, dashboards, and self-serve data tools.
• How can we optimise/cache data warehouse data to improve dashboard/report speed.
• Design and develop bespoke self-serve dashboards - e.g. experiment dashboard, or new business unit dashboards.
• Work closely with tech leadership to develop requirements around operational data model changes and internal tooling.
• Own predictive machine learning model deployment, and contribute to model design/training, e.g:
• Providing real-time LTV prediction to ad platforms at the point when customers complete billing.
• Internal LTV/retention forecasting models for business/product decision making.
• Be involved in developing the data strategy, and culture of the business. Guiding business leads and the senior leadership team on the journey.
• Be involved in developing the medium to long term data strategy - including people, processes and technology.

Tech we’re (currently) using:

• AWS RDS
• AWS athena/presto, S3
• AWS glue
• Superset
• Airbyte
• DBT
• Python 

Why should you choose Skin + Me?

• A daily challenge – in a thrilling, entrepreneurial start-up environment, no two days will ever be the same.
• Make a difference – work within a revolutionary company that is focused on improving millions of lives.
• Significant equity – potentially life-changing value if you commit to our long-term mission.
• Serious commitment to growth – personal development is important to us and we’ll make sure we support your growth, and give you broad experience across your role.
• Support network – the Skin + Me investors and advisors that you’ll have the opportunity to work with have built some of the world’s best consumer companies.

Benefits:

• 25 Days Holiday (+ all the usual

Description
Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success?
Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and also be valued within as a technical expert?
Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution.
Candidates will have a balance of technical and consulting skills and experience, enabling them to work with business as well as IT leaders, software developers and architects to shape Professional Services engagements. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs.
You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications with . You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity.
Responsibilities include:
- Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale.
- Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations
- Delivery - Engagements will include onsite projects proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations.
- Insights - Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector
- Push the envelope - computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges
About 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.
Why 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.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
Work/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 in the cloud.
Basic Qualifications
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience with integration of cloud services with on-premise technologies from microsoft, ibm, oracle, hp, sap
- Experience developing software code in one or more programming languages (java, python, etc.)
- Relevant experience in building large scale machine learning or deep learning models and Generative AI model development
- Eligibility for the UK Security Clearance
Preferred Qualifications
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Experience communicating across technical and non-technical audiences
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
- Fluency in written and spoken English
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

Description
Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success?
Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and also be valued within as a technical expert?
Amazon Web Services is looking for a skilled and motivated Professional Services Senior Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution.
Candidates will have strong leadership skills to shape Professional Services engagements, a balance of technical and consulting skills and experience to work with business as well as IT leaders, software developers and architects. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs.
You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications. You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity.
Responsibilities include:
- Leadership - Lead Data and AI engagements alongside the project managers, influencing senior customers, thriving in ambiguity and mentoring junior teams
- Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, engineering, software design and operations in hybrid environments as well as complex projects at scale.
- Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations
- Delivery - Engagements will include onsite projects delivering custom Data and AI solutions, and proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations.
- Insights - Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector
- Push the envelope - computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges
About 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.
Why 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.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
Work/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 in the cloud.
Basic Qualifications
- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Eligibility for the UK Security Clearance
Preferred Qualifications
- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
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