data sciences director

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

Merck KGaA

<p></p><div><p>Work Your Magic with us! Start your next chapter and join EMD Serono.</p><p></p><p><br>
Ready to explore, break barriers, and discover more? We know you&rsquo;ve got big plans &ndash; so do we! Our colleagues across the globe love innovating with science and technology to enrich people&rsquo;s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.</p><p></p><p><br>
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.</p><p></p><p><br>
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.</p><p></p><p><b><br>
Your Role:</b></p><p>
In this pivotal role, you will build and establish scientific excellence in the development of digital biomarkers and endpoints within the Advanced Data Science team in the Data Sciences organization. You will lead the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. Collaborating closely with the Integrated Health &amp; Medicines organization, you will spearhead the design and validation of machine learning-driven algorithms and data processing pipelines that extract clinically relevant insights from high-volume digital health data sources, such as wearables, sensors and apps, mobile devices, and patient-facing applications.</p><p>
You will develop and implement advanced machine learning and data science methods to process multimodal time-series data generated by digital devices, ensuring scientific rigor, clinical validity, and regulatory readiness. As a subject matter expert, you will embed digital health technologies within evidence generation strategies, driving their acceptance in clinical trials and practice.</p><p>
You will also contribute to key regulatory filings and publications, advocating for the adoption of digital endpoints within the global R&amp;D community. Staying at the forefront of emerging trends, you will explore and integrate emerging AI paradigms, including large language models (LLMs) and agentic AI systems, to support data interpretation, workflow automation, and digital health analytics. Your leadership will champion transformation efforts that unlock the full potential of Digital Health Technologies.</p><p></p><p><b><br>
Who you are:</b></p><p><b>
Minimum Qualifications:</b></p><ul><li>
You hold a PhD in a quantitative discipline (e.g., data science, computer science, biomedical engineering, statistics, physics, or related field) with a focus on large-scale data analysis.</li><li>
You have a minimum of 7 years of relevant experience in the pharmaceutical, digital endpoints, AI/ML or related industry.</li><li>
You possess a proven track record in designing and validating digital endpoints or biomarkers for clinical applications.</li><li>
You have hands-on experience processing and analyzing large-scale data streams from digital health technologies, including wearables, sensors, smartphones, or connected medical devices. You have experience in building machine learning pipelines for time-series and multimodal sensor data, including feature extraction, signal processing, and model development.</li><li>
You have strong expertise in digital biomarker/endpoint development, including psychometric and statistical validation and regulatory aspects.</li><li>
You have solid understanding of modern machine learning and AI methods (e.g., deep learning, representation learning, time-series modeling) as applied to digital health and behavioral data.</li><li>
You have experience with scalable data processing and ML frameworks (e.g., Python data ecosystem, distributed data processing, or cloud/HPC environments).</li></ul><br>
<div></div><ul><li>
You have familiarity with generative AI and large language models, and an interest in emerging paradigms such as agentic LLM systems or AI-assisted scientific workflows.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
You possess excellent stakeholder management skills and can navigate matrixed organizations effectively.</li><li>
You have strong communication and scientific writing skills, enabling you to translate complex technical content for diverse audiences.</li></ul><p><b>
Location: </b>On-site Billerica MA</p><p>
Pay Range for this position: $131,300 - $249,100</p><p>
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click <b>here</b>.</p><p></p><p><b><br>
What we offer: </b>We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!</p><p></p><p><br>
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!</p></div><p></p>

Associate Director in Data Science, Digital Endpoints Pharma R & D (Billerica MA)

Morgan Stanley

<div><p><b>Profile Description
</b></p><p>We&rsquo;re seeking someone to join our Enterprise Technology team as a Data Engineer, in Workforce Technology &amp; Services for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modelling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APIs. The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically.<br>
</p><p></p><p>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.<br>
</p><p></p><p>This is Director position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.<br>
</p><p></p><p>Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.<br>
</p><p></p><p><b>What you&rsquo;ll do in the role:
</b></p><ul><li><p>Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
</p></li><li><p>Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
</p></li><li><p>Identify and optimize new/existing data workflows.
</p></li><li><p>Identify and implement data integrity practices.
</p></li><li><p>Integrate data governance and data science tools with Snowflake ecosystem as per practice.
</p></li><li><p>Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
</p></li><li><p>Collaborate with team members to design and implement effective data workflows and transformations.
</p></li><li><p>Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
</p></li><li><p>Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
</p></li><li><p>Participate in code reviews and provide constructive feedback to improve team deliverables quality
</p></li><li><p>Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
</p></li><li><p>Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
</p></li><li><p>Design, implement data distribution layer using Snowflake REST API.<br>
</p></li></ul><p></p><p><b>What you&rsquo;ll bring to the role:
</b></p><ul><li><p>At least 4 years&rsquo; relevant experience would generally be expected to find the skills required for this role
</p></li><li><p>Experience in data analysis, data objects development and modeling in Snowflake data store.
</p></li><li><p>Snowflake REST API experience
</p></li><li><p>Informatica ETL and Talend ETL experience.
</p></li><li><p>Efficient SQL queries development and Python scripts development experience.
</p></li><li><p>Proven ability to work in distributed systems
</p></li><li><p>Proficiency with relational databases (such as DB2, SQL) querying and focus on data transformations.
</p></li><li><p>Excellent problem-solving skills and team-oriented mindset
</p></li><li><p>Strong data modelling concepts and schema design on relational data store and on cloud data store.
</p></li><li><p>Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
</p></li><li><p>Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
</p></li><li><p>Collaborating with data scientists/experts to integrate machine learning models into Snowflake
</p></li></ul><p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
</p><p></p><p>Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
</p><p></p><p>Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
</p><p></p><p>For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .</p></div><p></p>

Data Engineer_Director_Data & Analytics Engineering

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>Independently lead agentic AI initiatives within the SPPO Data Science and AI Strategy in Global Drug Development, directly contributing to faster delivery of transformative medicines to patients.<br>
<br>
Role model a culture of AI-augmented, data-driven decision-making across GDD functions &mdash; spanning clinical development, translational research, and regulatory.<br>
<br>
Deep technical expert with accountability for agentic AI systems that reduce time to insight and time to patient across global development programs.<br>
<br>
Shape the agentic AI direction for your organizational domain, grounded in the broader GDD strategy set by leadership.<br>
<br>
Where managing a team: empower, guide, and coach data scientists and AI engineers to deliver at the frontier of applied AI in drug development.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><p><b>Internal job title:</b> Director</p><p><b>
Position Location</b>: Hybrid working arrangement, London <b>#LI-Hybrid</b></p><p></p><p>
This is a senior AI leader role within Novartis Global Drug Development (GDD), responsible for leading the design, build, and productionization of agentic AI systems &mdash; think multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration &mdash; to accelerate drug development timelines and time-to-patient. The role sits at the intersection of deep technical expertise (agentic frameworks, RAG, governance, data foundations) and strategic influence, shaping the agentic AI direction for its domain while collaborating across clinical development, translational research, and regulatory functions.</p><p></p><p>
Beyond hands-on design and delivery, the position carries accountability for agent evaluation frameworks (reliability, hallucination risk, auditability), agentic governance, stakeholder coordination across globally dispersed teams, and external visibility through publications and conference presentations. Where a team is in scope, the leader is expected to coach and develop data scientists and AI engineers at the frontier of applied AI in pharma. It requires 10+ years of production AI/ML experience with specific fluency in agentic design patterns and responsible-AI practices.</p><p></p><p><b>
 Major Accountabilities:</b></p><p></p><ul><li>
Develop and execute a roadmap for agentic AI systems &mdash; including multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration &mdash; across multiple business verticals</li><li>
Architect, prototype, and productionize agentic pipelines: agent orchestration, memory and context management, tool integration, and human-in-the-loop governance frameworks</li><li>
Define agent evaluation frameworks covering reliability, hallucination risk, task completion rate, and regulatory-grade auditability</li><li>
Design and implement the data foundations (master data, governance, quality) that agentic systems depend on for grounded, trustworthy decision-making</li><li>
Identify and integrate internal/external data sources, APIs, and knowledge bases as agent-accessible tools with appropriate access controls and governance</li><li>
Strategically coordinate and prioritize team resources across initiatives; proactively manage risks, stakeholder expectations, and competing priorities</li><li>
Collaborate with globally dispersed stakeholders, external partners, and cross-functional teams to translate business problems into agentic AI solutions</li><li>
Proactively evaluate the evolving agentic AI landscape (e.g., reasoning models, agent frameworks, MCP, RAG) and guide technology selection</li><li>
Provide agile consulting and guidance on unplanned, high-priority analytical and AI challenges</li><li>
Publish and present at conferences and academic institutions; serve as a Novartis ambassador for agentic and applied AI</li><li>
Coach and develop junior data scientists and AI engineers in agentic design patterns and responsible AI practices</li></ul><p></p><p><b>
Key Performance Indicators:</b></p><p></p><ul><li>
Agentic system deployment rate and measurable business impact per vertical</li><li>
Agent reliability and task-completion metrics vs. baseline</li><li>
Governance and compliance endorsement at program tollgates</li><li>
Successful implementation against enterprise data and AI program objectives</li></ul><p></p><p><b>
Minimum Requirement: Work Experience:</b></p><p></p><ul><li>
Advanced degree in related field preferred. 10+ years in Data Science or AI, with demonstrable experience building and deploying production AI/ML systems</li><li>
Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, or equivalent)</li></ul><p></p><p><b>
Skills:</b></p><p></p><ul><li>
Agentic AI system design and orchestration</li><li>
LLM tool-use, RAG, and multi-agent coordination patterns</li><li>
AI governance and responsible AI (EU AI Act awareness a plus)</li><li>
Machine learning, deep learning, NLP and GenAI</li><li>
Data governance, quality, and strategy</li><li>
Statistical analysis and data visualization</li><li>
Change management and organizational awareness</li><li>
Stakeholder engagement and business value creation</li><li>
Mentorship and learning agility</li></ul><p></p><p><b>
Language:</b></p><p></p><ul><li>
English</li></ul><p></p><p><b>
Rewards</b></p><p>
At Novartis, we&rsquo;re committed to reimagining medicine together - and rewarding the people who make it happen.</p><p></p><p>
The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.</p><p></p><p>
Expected Annual Base Salary Range for role:</p><ul><li>
London: 100,240.00 - 143,200.00 - 186,160.00 GBP Annual</li></ul><p></p><p>
The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.
</p><p></p><p>In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.
</p><p></p><p>Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.</p><p></p><p>
Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf
</p><p><i>Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.</i>
</p><p></p><p><b>Commitment to Diversity and Inclusion / EEO paragraph:</b></p><p>
Novartis is committed to building an outstanding, inclusive work environment and diverse teams&rsquo; representative of the patients and communities we serve.</p><p></p><p><b>
Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards: </b>Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</p></div></div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards:</b> Learn about all the ways we&rsquo;ll help you thrive personally and professionally.<br>
Read our handbook (PDF 30 MB)</p></div></div></div>
<br><div><div>Primary location salary range
<div>&pound;100,240.00 - &pound;186,160.00
</div></div><div>Division
<div>Development
</div></div><div>Business Unit
<div>Development
</div></div><div>Location
<div>United Kingdom
</div></div><div>Site
<div>London (The Westworks)
</div></div><div>Company / Legal Entity
<div>GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
</div></div><div>Functional Area
<div>Data and Digital
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No</div></div></div><div></div>

Director Data Science & Agentic AI

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.<p><b><br>
Make an Impact at RSM UK</b></p><p>
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance.<br>
<br>
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses.<br>
<br>
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships.</p><p><br>
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.</p><p>
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.</p><p>
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.</p><p>
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.</p><p><b>
You will make an impact by:</b></p><p>
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.</p><ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul><p><b><br>
What we are looking for:</b></p><ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul><p><b><br>
What we can offer you:</b></p><p>
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.</p><ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul><br>
Diversity and Inclusion at RSM<br>
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Capgemini Invent: Why join us?
</b></h2></div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>Our Enterprise Data Analytics (EDA) Capability Unit is the home of our experts in data &amp; AI strategy, innovation, transformation and insights; supporting clients in using advanced data, analytics and AI solutions to solve complex business problems.</p>
<p>This is a high profile role in Capgemini Invent, contributing to leadership across both across the EDA capability unit and across our client engagements. As a Director in our team, you will be responsible for new business focused on clients in the telecoms &amp; media sector and selling consulting opportunities in excess of &pound;2m per year. You will be expected to contribute to thought leadership and team management activities across multiple capability areas but with a focus on data, insights and AI including data management, business intelligence, data science and AI innovation.</p>
<p>In this role, you&rsquo;ll help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include:</p>
</div></div><div></div><div><div><ul><li>Working as part of the Capgemini Invent EDA leadership team and our Telecoms &amp; Media Sector team to grow our data and AI capability and develop our sector-specific offers</li>
<li>Managing the performance and grow teams of data &amp; AI consultants who work cross-sector, supporting individuals&rsquo; career growth, guiding L&amp;D priorities and driving recruitment</li>
<li>Building long-lasting senior client relationships in the Telecoms &amp; Media sector and creating a sustainable business development pipeline</li>
<li>Inspiring our clients on innovating with AI and getting value from their data</li>
<li>Helping our clients to design their AI strategies and adopt robust approach to data management</li>
<li>Selling, leading, and managing large delivery programmes with data and AI at the centre</li>
<li>Creating thought leadership and new propositions that reflect Capgemini Invent&rsquo;s position as a leading AI, data science and analytics consultancy</li>
</ul></div></div><div></div><div><div><p>As part of your role you will contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<ul><li>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>You will already be a leader within Data &amp; AI consulting and you want to take your career to the next level. You will have experience at a similar level leading data and AI teams within a large consultancy, and you will have relationships at senior levels in the Telecoms &amp; Media sector.</p>
<p>Specifically, you will bring:</p>
<ul><li>Good existing relationships with Senior Clients, focussed on the areas responsible for data &amp; AI in the Telecoms &amp; Media sector</li>
<li>Experience of defining data strategies and shaping the AI or data science services and solutions that deliver the client&rsquo;s vision, integrated across technology and business functions</li>
<li>A deep understanding of trends in AI and how these are impacting our clients</li>
</ul></div></div><div></div><div><div><p>You will also require:</p>
<ul><li>Strong management consulting experience with proven success across data and AI</li>
<li>A proven track record in new business development / account management in clients across the full sales lifecycle; you will have a personal sales target of circa &pound;2m per annum of consulting business.</li>
<li>Proven ability to be successful in a matrixed organisation and to enlist support and commitment from peers in selling and delivering consulting solutions.</li>
<li>Credibility and personal impact; you will be respected by colleagues and clients</li>
<li>Versatility and collaborative in style, empathetic in nature, confident in content and focussed on outcomes at all levels in the client organisation.</li>
<li>A passion to shape, motivate and deliver AI, Data Science and Analytics work</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE?</b></h2>
</div><div><p><b>NEED TO KNOW</b></p>
<p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>CSR</b></h2>
</div><div><p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have Manchester as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p><br>
<p></p><p><b><i>Capgemini is proud to be a </i></b><b><i>Disability Confident Employer (Level 2) </i></b><i>under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</i></p><br>
<p></p><ul><li><i>Declare they have a disability, and</i></li>
<li><i>Meet the minimum essential criteria for the role.</i></li>
</ul><p><i>Please opt in during the application process.</i></p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI
</b></h2></div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.</p></div></div></div></div></div></div></div>

Director - Data & AI (Telecoms & Media Sector)

Fitch Ratings

<div>
 Fitch Learning is a leader in financial services training. With unrivaled breadth and depth, the company delivers learning solutions for apprentices, graduates, and those with 10+ years&rsquo; experience in Financial Services. Our offerings include expert faculty, e-learning, coaching, and blended assessments, improving individual and collective business performance.
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 Working at Fitch Learning provides the opportunity to be part of a global leader in financial education, committed to delivering cutting-edge training solutions. You'll collaborate with a team of experts dedicated to empowering professionals with the skills and knowledge needed to excel in the finance industry. By joining us, you'll be at the forefront of innovation in professional education, contributing to impactful learning experiences that drive career advancement and industry success.
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 Fitch Learning is currently seeking an Associate Director, Data Science Trainer based out of our Dubai, UAE office.
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  About The Team
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 You will join our Data Science Training faculty, a globally collaborative team that designs and delivers technical learning programs focused on data science, analytics, and applied quantitative skills for banks, financial institutions, corporates, regulators, and multilaterals. The team operates across in-house, virtual, and public courses, with high visibility across client engagements and a strong focus on practical, market-relevant learning solutions.
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 Trainers are expected to attend the office on a regular basis when not fulfilling training commitments.
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  How You&rsquo;ll Make An Impact
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   Design and deliver high-quality training programs in data science, analytics, and related technical subject areas for corporate and professional learners.
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   Create engaging learning materials, including presentations, practical exercises, case studies, assessments, and supporting resources.
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   Deliver training across multiple formats, including virtual, in-person, and blended learning environments.
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   Translate complex technical concepts into clear, practical, and accessible learning experiences for varied audiences.
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   Contribute to the development and enhancement of Fitch Learning&rsquo;s data science curriculum and broader technical training portfolio.
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   Partner with internal stakeholders, including product, sales, and client-facing teams, to support tailored learning solutions for clients.
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   Stay current on trends and developments in data science, analytics, machine learning, and learning design to ensure content remains relevant and market aligned.
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   Use learner and client feedback to continuously improve training quality, learner engagement, and program outcomes.
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   Support business development efforts, where appropriate, by contributing subject matter expertise to proposals, pitches, and client discussions.
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  You May Be a Good Fit If
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   You have strong subject matter expertise in data science, analytics, statistics, machine learning, or a related field.
  </li>
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   You have experience designing and delivering training, teaching, facilitation, or professional learning programs in technical subject areas.
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   You are confident presenting to a range of audiences and can explain complex concepts in a clear, engaging, and practical way.
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   You have hands-on experience with relevant tools, programming languages, or data visualization platforms.
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   You are skilled at developing high-quality learning content that is both technically robust and learner-focused.
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   You are commercially aware and able to align learning solutions with client and market needs.
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   You are collaborative, adaptable, and comfortable working across teams in a fast-paced environment.
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   You have excellent written and verbal communication skills, with strong attention to detail and quality.
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  </li>
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  What Would Make You Stand Out
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   Experience delivering training within financial services, banking, capital markets, or other highly regulated industries.
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   Familiarity with applying data science concepts to commercial, credit, risk, or financial use cases.
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   Experience developing customized training solutions for corporate clients.
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   Knowledge of learning design best practices across digital, blended, and instructor-led formats.
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   A desire to innovate by bringing fresh ideas to course design, delivery, and assessment.
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   An advanced degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or a related discipline.
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  </li>
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  Why Choose Fitch
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   A Culture of Learning &amp; Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity.
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   Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.
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   Promoting Health &amp; Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing.
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   Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively.
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   Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.
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   Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.
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  </li>
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 At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.
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 Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.
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  For More Information, Please Visit Our Websites
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 www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com
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Fitch Learning | Data Science Trainer, Associate Director - Dubai, UAE

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