senior data scientist

data science manager

senior ai engineer

senior analytics engineer

senior data engineer

analytics senior manager

Tapestry

<div>Explore the possibilities across our global house of brands. 
 
Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story. 
 
At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.
Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry&rsquo;s EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience.
The successful individual will leverage their proficiency in Data Analytics to:
<ul><li>Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data‑driven analysis, strategies and tools
</li><li>Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading‑indicator insights
</li><li>Perform large‑scale analysis that uncovers high‑impact acquisition drivers, media‑spend efficiency and revenue‑boosting actions; translate results into clear, data‑driven stories
</li><li>Drive organisation‑wide adoption of data. Measure outcomes, showcase impact and encourage a data‑first mindset for decision‑making.
</li><li>Embed predictive models, automated reporting and AI‑driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes
</li><li>Drive adoption of automation &amp; AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models
</li><li>Collaborate with data‑engineering, data‑science and algorithm teams to innovate data sourcing, management and product solutions
</li><li>Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross‑regional data collaboration
</li><li>Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self‑service data
</li><li>Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site‑consumer journey &amp; conversion, and focus the organisation on acquisition levers
</li></ul>The accomplished individual will possess:
<ul><li>5+ years of hands‑on analytics experience within retail, eCommerce, or consulting environments
</li><li>Advanced SQL and ETL capabilities
</li><li>Strong data‑visualisation expertise (Tableau or comparable)
</li><li>Hands‑on experience with Google Analytics and BigQuery
</li><li>Proficiency in Python or R for analysis and modelling
</li><li>Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions
</li><li>Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)
</li><li>Excellent storytelling, communication, and relationship‑building skills
</li><li>Track record of translating analytics into revenue‑driving initiatives and improving gross margin
</li><li>Ability to prioritise dynamically in a fast‑paced, global environment
</li><li>Bachelor&rsquo;s degree in a quantitative or technical discipline
</li><li>Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)
</li><li>Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling
</li><li>Prior success influencing global data‑culture change and promoting data‑centric decision making
</li></ul>Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.
What Tapestry can offer you:
<ul><li>Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely)
</li><li>Option to finish early on a Friday (Flex Fridays)
</li><li>1 paid volunteering day per year and opportunities to volunteer with global projects
</li><li>Learning &amp; development opportunities
</li><li>Internal mobility &amp; career progression
</li><li>Regular social events - seasonal &amp; cultural
</li><li>Equity Inclusion &amp; Diversity initiatives which include employee resource groups &amp; regional inclusion council 
</li></ul> 
Other benefits include:
<ul><li>25 days holiday in addition to bank holidays
</li><li>Annual Incentive Plan (company performance bonus)
</li><li>Multi brand discount up to 50% off &ndash; Coach and Kate Spade.
</li><li>Private healthcare with health assessment (Bupa)
</li><li>Bupa rewards - Financial wellbeing support and wellness discounts
</li><li>Private dental cover
</li><li>Free 24/7 support for family building, fertility and menopause with Maven
</li><li>Eyecare vouchers
</li><li>Employee assistance programme
</li><li>Enhanced employer pension contribution
</li><li>Gym discount
</li><li>Interest free season ticket loan
</li><li>Cycle to work scheme
</li></ul>At Tapestry, we are committed to building a diverse &amp; inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that&rsquo;s ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you.
 
 
Our Competencies for All Employees
 
Courage : Doesn&rsquo;t hold back anything that needs to be said; provides current, direct, complete, and &ldquo;actionable&rdquo; positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
 
Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
 
Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
 
Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn&rsquo;t upset when things are up in the air; doesn&rsquo;t have to finish things before moving on; can comfortably handle risk and uncertainty.
 
Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
 
Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
 
Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
 
 
Our Competencies for All People Managers
 
Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
 
Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
 
Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant&rsquo;s or employee&rsquo;s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
 
 
Visit Tapestry, Inc .</div>

Senior Manager, Data Analytics

Zoopla

<div>Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You&rsquo;ll Do
As a Senior Analytics Engineer in the Data Analytics team, you&rsquo;ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. 
<ul><li>
Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.</li><li>
Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.</li><li>
Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.</li><li>
Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.</li><li>
Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.</li><li>
Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).</li></ul>
We&rsquo;re looking for someone who:<ul><li>
Has experience setting up &amp; developing dbt architecture using CI/CD practices (essential)</li><li>
Is highly proficient with SQL and data modelling best practices for optimising performance (essential)</li><li>
Has previously worked with visualisation tools such as Tableau or PowerBI (essential)</li><li>
Is confident collaborating and communicating with non-technical stakeholders (essential)</li><li>
Has experience integrating dbt with other tools in the modern data stack (essential)</li><li>
Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential)</li><li>
Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable)</li></ul>
Where You&rsquo;ll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 
Benefits 
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Senior Analytics Engineer

Simply Business

<div>
 
 Who Are We?
 
 
 
 We insure small businesses and enable big dreams &ndash; not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.
 
 
 We&rsquo;re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project&rsquo;, we're working to help 10,000 small businesses start or grow by 2030.
 
 
 Why not check out our advert on YouTube: Simply Business TV advert 2024: 'Simply the Best'.
 
 
 
 Job Category
 
 
 
 Technology
 
 
 
 Position Type
 
 
 
 Permanent
 
 
 
 Target Openings
 
 
 
 1
 
 
 
 What Is the Opportunity?
 
 
 
 
 Here's What You'll Be Doing
 
 
 
 Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As our Senior Analytics Engineer, you&rsquo;ll be at the forefront of this mission, moving beyond standard reporting to build the high-performance, event-driven data models that power our AI and ML future.This role is a unique blend of technical mastery and strategic influence. You won't just be building pipelines; you&rsquo;ll be pioneering AI readiness by designing low-latency architectures that drive real-time decisions&mdash;from dynamic pricing to risk assessment&mdash;across our entire global operation
 
 
 
 As One Of Our Senior Analytics Engineers, You'll
 
 
 
 <ul>
 <li>
 Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready.
 </li>
 <li>
 Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning.
 </li>
 <li>
 Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real-time AI features.
 </li>
 <li>
 Manage and optimise ELT pipelines that serve as the single source of truth for our Finance, Operations, and Marketing teams.
 </li>
 <li>
 Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance.
 </li>
 <li>
 Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver refreshing, data-led solutions to our customers.
 
 
 </li>
 </ul>
 
 We're Looking For Someone Who Is
 
 
 
 <ul>
 <li>
 A seasoned data expert with 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
 </li>
 <li>
 Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets.
 </li>
 <li>
 Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible.
 </li>
 <li>
 Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption.
 </li>
 <li>
 A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain.
 </li>
 <li>
 A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business.
 
 
 </li>
 </ul>
 We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role.
 
 
 We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
 
 
 
 Ready to build the future of insurance?
 
 
 
 If you&rsquo;re a tech-minded engineer who thrives on complexity and wants to see your code drive real-world impact, we want to hear from you. At Simply Business, we&rsquo;ve moved past legacy constraints&mdash;we&rsquo;re building a high-scale, event-driven ecosystem where your work on AI-ready data models will directly protect over 900,000 customers. Join a team where your expertise is celebrated, your development is prioritised, and your technical vision helps us redefine what&rsquo;s possible in Insurtech.
 
 
 
 Apply now to start your journey with SB
 
 
 
 
 What Are The Benefits Of Working At Simply Business
 
 
 
 <ul>
 <li>
 we offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid
 </li>
 <li>
 on top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits
 </li>
 <li>
 our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver
 </li>
 <li>
 our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And our long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service
 </li>
 <li>
 private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses
 </li>
 <li>
 we offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance
 </li>
 <li>
 access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling
 </li>
 <li>
 we match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme
 </li>
 <li>
 our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service)
 </li>
 <li>
 our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership
 
 
 </li>
 </ul>
 Ready to join us and drive our success as a high-performing team? Apply today.
 
 
 
 Employment Practices
 
 
 
 Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don&rsquo;t (and won&rsquo;t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.
</div>

Kingfisher

<div>Overview:

We&rsquo;re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&amp;Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement.
Join Kingfisher as our Digital Analytics Manager and help shape data-driven digital experiences that support our purpose: Better Homes, Better Lives, For everyone. You&rsquo;ll lead a hard-working team to deliver actionable insights, empower colleagues, and drive innovation across our Group and Banner functions.
What's the job?:
<ul><li>Lead and develop a diverse team of digital data experts, supporting their growth and delivering high-quality analytics</li><li>
Build and enhance self-serve analytics capability, enabling stakeholders to access and use data effectively</li><li>
Develop and evolve the digital data roadmap, ensuring it drives business objectives and continuous improvement</li><li>
Empower the team to deliver insights that drive data-led optimisation and measurable improvements across Group and Banner functions</li><li>
Collaborate with Data Science, AI, Engineering, and Measurement teams to deliver analytics and reporting for key initiatives</li><li>
Champion best practices in digital data, embedding analytics and systematic experimentation into our ways of working</li><li>
Work closely with stakeholders to understand challenges and opportunities, fostering a culture of curiosity, agility, and collaboration</li></ul>
What you'll bring:
<ul><li>Experience leading a mixed-level team, supporting their analytical, commercial and professional development</li><li>
Significant expertise in digital analytics for eCommerce and digital products</li><li>
Proficient in Google Analytics and has experience reporting packages (Data Studio, Power BI, Tableau), databases (SQL) and Web Tagging (Google Tab Manager)</li><li>
Strong statistical analysis skills and experience with relevant packages (Excel, SPSS, SAS etc)</li><li>
Clear communicator with a track record of delivering compelling, action-oriented insights to senior stakeholders</li><li>
Ability to manage and prioritise team demand, with the confidence to positively challenge and influence stakeholders where required</li></ul><div>
How We Work 
We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration.</div><div>
We value the perspectives new team members bring and encourage you to apply - even if you don&rsquo;t meet 100% of the requirements.</div><div></div><div> 
What We Offer 
An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity &amp; Inclusion at Kingfisher here. We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits.</div><div></div><div> 
Diversity &amp; Inclusion 
Our customers come from all walks of life - and so do we. We&rsquo;re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.</div><div></div><div> 
Interested? Great, apply now and help us to Power the Possible.</div><div></div><div> 
#LI-JK1</div></div>

Digital Analytics Manager

Inizio Evoke

<div>Insights &amp; Analytics Manager &ndash; Inizio Evoke Comms Europe

London/ Dublin 


Are you naturally curious about people, data and what drives behaviour? Do you love uncovering insights that shape strategy, influence decisions and tell compelling stories? Are you excited by the possibilities of AI, analytics and emerging technologies in healthcare communications?

If so, we'd love to hear from you. 


So, what's the job?

We're looking for an Insights &amp; Analytics Manager to join our growing team at Inizio Evoke Comms Europe.

This is an exciting opportunity for someone with experience in analytics, insights, research or digital measurement who wants to play a central role in helping some of the world's leading healthcare companies make smarter, more informed decisions.

As part of our specialist Insights &amp; Analytics team, you'll work across a diverse portfolio of healthcare and pharmaceutical clients, transforming complex data into meaningful insights that influence communications strategies, campaigns and business decisions. From social listening and stakeholder analysis to digital performance measurement and market intelligence, you'll help uncover the stories behind the data and bring them to life through clear, actionable recommendations. 


You'll partner closely with communications, strategy and client services teams to ensure insights are embedded throughout the planning, execution and evaluation of client programmes. You'll also have the opportunity to explore innovative approaches and emerging technologies, including AI-powered research and analytics tools, helping us continuously evolve our capabilities.

This highly valued role is perfect for someone who enjoys combining analytical rigour with creative thinking, working directly with clients and helping shape the future of data-driven healthcare communications.

Whatever you're doing, your career will be our top priority. When you join, you'll receive a personalised development plan and support from senior leaders who are invested in helping you grow and achieve your career ambitions. 


What will you be doing?

As an Insights &amp; Analytics Manager, you will:
<ul>
<li>Lead and manage multiple client analytics projects from inception to delivery</li>
<li>Design and implement research methodologies that answer complex client questions</li>
<li>Analyse and interpret social listening, stakeholder, digital and website performance data</li>
<li>Transform data into compelling stories, insights and recommendations that drive action</li>
<li>Present findings and strategic recommendations to clients and internal teams</li>
<li>Partner with account teams to develop data-driven communications strategies and measurement frameworks</li>
<li>Manage project scopes, timelines, budgets and deliverables with minimal supervision</li>
<li>Stay at the forefront of industry trends, analytics technologies and AI-powered tools</li>
<li>Contribute to new business opportunities through research, insights and pitch support</li>
<li>Support and mentor junior team members, helping to develop team capabilities and best practices</li>
<li>Drive innovation and continuous improvement within the Insights &amp; Analytics function</li></ul> 


Are you right for the job?

If you...
<ul>
<li>Have a passion for turning data into meaningful insights and actionable recommendations</li>
<li>Enjoy solving complex problems and uncovering the &quot;why&quot; behind audience behaviour</li>
<li>Thrive in a collaborative environment where curiosity, innovation and fresh thinking are encouraged</li>
<li>Are confident communicating data and insights to both technical and non-technical audiences</li>
<li>Can manage multiple priorities while maintaining exceptional attention to detail</li>
<li>Enjoy working directly with clients and building trusted relationships</li>
<li>Want to help shape the future of analytics within healthcare communications</li>
</ul>
...then a career at Inizio Evoke Comms could be for you. 


What are we looking for?

Essential
<ul>
<li>Bachelor's degree in Analytics, Marketing, Communications, Business, Data Science or a related discipline</li>
<li>Approximately 4&ndash;6 years' experience in analytics, insights, research or a data-focused role</li>
<li>Experience using social listening and audience intelligence platforms such as Brandwatch, Meltwater, Sprinklr, Hootsuite or similar tools</li>
<li>Familiarity with AI tools such as Claude, Codex or similar platforms</li>
<li>Experience with Boolean search methodologies and advanced research techniques</li>
<li>Strong understanding of digital analytics and website performance metrics, including Google Analytics or equivalent platforms</li>
<li>Experience designing and conducting research projects using a range of qualitative and quantitative methodologies</li>
<li>Excellent presentation, storytelling and communication skills</li>
<li>Proven ability to manage multiple projects simultaneously and deliver to deadlines</li>
<li>Strong stakeholder management skills with the confidence to work directly with clients</li>
<li>Experience translating complex datasets into clear business recommendations</li>
<li>Strong attention to detail and commitment to delivering high-quality work</li></ul> 


Desirable
<ul>
<li>Experience working within healthcare communications, healthcare marketing or pharmaceutical environments</li>
<li>Knowledge of SEO, digital measurement and benchmarking tools such as SEMrush</li>
<li>Experience with coding, scripting, APIs or data visualisation tools</li>
<li>Google Analytics 4 (GA4) or other relevant analytics certifications</li></ul> 


What is important to us?

At Inizio Evoke Comms, we are driven by curiosity, creativity and expertise to craft compelling stories that make health more human. Our values guide us every day: We Excel, We Empower, We Explore, We Energise.

#LI-GK

Trust and accountability underpin everything we do and we strive to create a supportive, progressive culture where our people can thrive and lead happier, healthier lives at work.

Diversity and inclusion are central to our success. We continuously review our practices to ensure they are equitable and inclusive, enabling us to deliver smarter, more creative solutions for clients.

We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.<div> 
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.</div></div>

Digital Insights & Analytics Manager

Accenture

<div>YOU ARE
As a Senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.
Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div>

AI/ML Computational Science Senior Manager

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.
Responsibilities:<ul><li>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

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