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business analytics member

cloud and data analytics graduate

Boston Scientific

<div>Hiring Manager: Nazli Yasmak Yasmak Yildiz Bol 
Recruiter: Ines Somorai 
Cloud &amp; Data Analytics Graduate Intern - 12 Months Contract 
We are seeking a Cloud &amp; Data Analytics Graduate Intern to join the Growth Emerging Markets (GEM) Commercial and Customer Engagement Excellence team. This 12-month internship offers a unique offers a unique opportunity to gain hands-on experience in managing customer relationship management (CRM) systems and supporting data-driven decision-making across various business functions in GEM region.
The successful candidate will work closely with cross-functional teams, including sales and marketing teams, cloud product owners, cloud specialists, IT and global data analytics &amp; data governance teams to ensure data quality, support cloud adoption initiatives, and promote a data-driven decision-making culture in GEM region. 
Key Responsibilities:<ul><li>
Provide valuable support in GEM Cloud and data analytics projects to drive digital transformation and foster a data-driven decision-making environment.</li><li>
Contribute to GEM Cloud enhancements by gathering user feedback, preparing user stories, and testing new developments.</li><li>
Assist in the rollout and adoption of GEM Cloud in collaboration with distributor channel teams and other stakeholders.</li><li>
Provide comprehensive support for GEM Cloud administration activities to ensure smooth and efficient system operations.</li><li>
Collaborate with the Sales and Marketing teams within GEM to understand business requirements and create reports and dashboards using Tableau.</li><li>
Analyze customer data to generate actionable business insights.</li><li>
Assist in the implementation and enforcement of data governance policies and procedures to ensure data accuracy, consistency, and security.</li></ul> 
Qualifications:<ul><li>
Recent graduate in Information Systems, Engineering, Data Science, or a related field.</li><li>
Strong analytical mindset, with keen attention to detail.</li><li>
Interest in CRM platforms, such as Salesforce and Microsoft Dynamics.</li><li>
Fundamental knowledge of Excel and Tableau; familiarity with other business intelligence tools is a plus.</li><li>
Basic understanding of databases and data quality concepts is considered a plus.</li><li>
Highly motivated and eager to learn.</li><li>
Excellent communication skills, both written and verbal, in English.</li><li>
Adaptable and collaborative, with the ability to thrive in multicultural team environments.</li></ul> 
Requisition ID: 613724 
As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most &ndash; united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do &ndash; as a global business and as a global corporate citizen. 
So, choosing a career with Boston Scientific (NYSE: BSX) isn&rsquo;t just business, it&rsquo;s personal. And if you&rsquo;re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!</div>

Cloud and Data Analytics Graduate Intern

Essentra

<div>
 
 Our Digital Analyst position based in &Idot;stanbul is a fantastic opportunity for someone with combined analyst and data engineering skills to learn about and contribute to the digital insights work taking place at Essentra Components.
 
 
 
 
 
 You will be supporting the entire digital team and associated projects with specific domain know how and expertise around collecting, cleaning, structuring and analysing data.
 
 
 
 
 
 A successful candidate must be comfortable with creating and maintaining datasets to sustain a robust reporting and analysis environment. That involves understanding of the tag management and data harvesting processes, ETL processes from digital platforms, management of data tables, the delivery of well-designed visual reporting as well as communication skills.
 
 
 
 
 
 You should have a strong commercial mindset and understanding of the digital landscape in a B2B context, able to interpret trends and clearly articulate key insights to business stakeholders.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Supporting internal digital reporting process
 </li>
 <li>
 Analytics and MarTech implementation using Google Tag Manager (GTM)
 </li>
 <li>
 Supporting digital data integrations and assisting in the future development of these systems
 </li>
 <li>
 Acting as a subject matter expert for the organisation's web-based analytics structure
 </li>
 <li>
 Identifying potential gaps and missed opportunities through analysis of the current GA and tag management platform configuration
 </li>
 <li>
 Generating insights and reports with compelling visuals and narratives to inform key stakeholders and drive innovation in Essentra's Hassle-Free offer
 </li>
 <li>
 Providing data-driven recommendations to influence audience behavior
 </li>
 <li>
 Understanding key success metrics and leveraging them to optimise "Cost Per" measures
 </li>
 <li>
 Analysing business metrics to assess the impact of conversion rate-related developments across the organisation
 </li>
 <li>
 Excellent communication skills and ability to work in a fast-paced, data-driven environment
 </li>
 <li>
 Maintain documentation repository of solutions, to include methodology
 </li>
 </ul>
 
 
 
 
 
 Skills and Experience:
 
 
 
 
 
 
 Essential:
 
 <ul>
 <li>
 Bachelor's degree in computer science, business, statistics/analytics, marketing or related field
 </li>
 <li>
 Capable of defining and communicating requirements to dev team for data layer implementation
 </li>
 <li>
 Testing and QA of analytics implementation
 </li>
 <li>
 Digital Platform Experience
 </li>
 <li>
 Solid understanding of the Google Analytics platform within an ecommerce setting
 </li>
 <li>
 Knowledge of A/B Testing and associated tools such as Hotjar/ AbTeasty
 </li>
 <li>
 Knowledge of database systems
 </li>
 <li>
 Data Analytics and Visualisation Tools (Looker Studio &amp; Power BI)
 </li>
 <li>
 Data Wrangling and cleansing
 </li>
 <li>
 Familiarity with HTML / CSS / Cookies / JavaScript / jQuery
 </li>
 </ul>
 
 
 
 
 Desirable:
 
 <ul>
 <li>
 Knowledge of Google Tag Manager
 </li>
 <li>
 SQL
 </li>
 <li>
 Familiarity with LLM Tools makes daily tasks easier
 </li>
 <li>
 Cloud system such as AWS, Azure and Google Cloud
 </li>
 <li>
 Knowledge of Alteryx / PowerBI
 </li>
 <li>
 Proficiency in other program languages such Javascript and Python are an advantage
 </li>
 <li>
 Keen to learn new skills and to deploy them in a workplace setting
 </li>
 <li>
 Able to make a significant contribution to the overall team performance
 </li>
 <li>
 Understanding of how B2B markets work
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Discretionary bonus
 </li>
 <li>
 Supplementary Health Insurance
 </li>
 <li>
 Energy allowance (Jan, Feb, Oct, Nov, Dec)
 </li>
 <li>
 Bayram Vouchers
 </li>
 <li>
 Gift Allowance
 </li>
 <li>
 Employee Support Program
 </li>
 <li>
 Great career prospects
 </li>
 </ul>
 
 
 
 
 Essentra Components are a global market leader in plastic injection moulded, vinyl dip moulded and metal components. We have a history of over 65 years, producing essential components across a huge range of industries and applications.
 
 
 
 
 
 At Essentra we are ideally looking for individuals who enjoy working as part of a close team, are passionate about what they do and who strive to make a difference. We are always looking to better ourselves and are keen to recruit individuals who like to innovate and improve processes.
 
 
 Candidates must be able to demonstrate a pre-existing right to work in T&uuml;rkiye and right to travel across Essentra sites. Documentary evidence will be requested at interview.
 
 
 
</div>

Digital Analyst

TRB 360

<div>
 
 We are seeking a
 
 AI Specialist
 
 for our Istanbul-based company operating in the oil and gas sector.
 
 
 
 
 
 
 About The Company
 
 
 
 
 
 
 We are an AI-driven startup revolutionizing oil and gas trading and hedging through cutting-edge machine learning, data analytics, and financial modeling. We seek an experienced AI Specialist to design, implement, and optimize AI-powered trading models and risk management systems.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and implement AI algorithms/models for trading, forecasting, and risk management in oil and gas markets.
 </li>
 <li>
 Create predictive models for price movements, supply-demand dynamics, and geopolitical risk assessment.
 </li>
 <li>
 Design and maintain hedging strategies using derivatives and financial instruments.
 </li>
 <li>
 Develop and maintain data pipelines and ensure data quality
 </li>
 <li>
 Analyze large-scale market data from multiple sources (e.g., market feeds, economic reports).
 </li>
 <li>
 Collaborate with traders, data engineers, and financial analysts to integrate AI models into trading systems.
 </li>
 <li>
 Conduct backtesting, scenario analysis, and performance evaluation of models.
 </li>
 <li>
 Stay updated on emerging AI technologies, trading models, and market regulations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 BSc, Master&rsquo;s or Ph.D. in Computer Science, Data Science, Finance, or a related field.
 </li>
 <li>
 3+ years of experience in software development.
 </li>
 <li>
 Proven experience with AI applications in financial trading, commodities, or energy markets.
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch) and statistical modeling.
 </li>
 <li>
 Strong programming skills in Python, R, or C++.
 </li>
 <li>
 Familiarity with financial market structures, derivatives, and quantitative finance.
 </li>
 <li>
 Experience with time-series analysis, reinforcement learning, and optimization techniques.
 </li>
 <li>
 Ability to translate complex data insights into actionable trading strategies.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience in commodity trading, especially oil and gas.
 </li>
 <li>
 Knowledge of energy market regulations and compliance standards.
 </li>
 <li>
 Experience with cloud-based AI platforms (AWS, Azure, Google Cloud).
 </li>
 <li>
 Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
 </li>
 <li>
 Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
 </li>
 <li>
 Expreince with LSTM and XGBoost Models.
 </li>
 </ul>
 
 
</div>

AI Specialist

Dataroid

<div>
 
 Join us on our exciting journey at Dataroid, the award-winning digital analytics and customer engagement platform!
 
 
 
 
 
 Dataroid empowers leading brands to enhance every individual customer experience through deep customer insight, data science modelling, and omnichannel marketing.
 
 
 
 
 
 As Turkey's fastest-growing data analytics platform, we embrace challenges, explore new technologies, and aim to impact industries globally by helping businesses harness data to create seamless customer experiences.
 
 
 
 
 
 At Dataroid, our developers drive innovation, staying ahead of technology trends to deliver simple and seamless solutions. Already used by leading enterprises in finance, airlines, and retail, Dataroid reshapes the experience of over 120 million users.
 
 
 
 
 
 We are looking for an energetic, ambitious, and high-performing
 
 Customer Success Specialist
 
 who will be responsible for building relationships, understanding customer trends, hitting annual targets and leading our big data analytics and customer engagement platform Dataroid in the right direction.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop a deep understanding of our analytics and engagement platform and contribute to strategic plans that maximize customer retention and satisfaction in global and local markets.
 </li>
 <li>
 Maintain strong, long-lasting relationships with clients through proactive support and value-driven communication.
 </li>
 <li>
 Work closely with customers to co-create successful use cases that demonstrate business value and support growth.
 </li>
 <li>
 Act as a technical integrator and analytical advisor focused on digital analytics and user engagement strategies.
 </li>
 <li>
 Ensure Dataroid SDK and API integrations are implemented in the most efficient and scalable way for each customer.
 </li>
 <li>
 Provide product feedback and insights to the business and product teams.
 </li>
 <li>
 Ensure 100% satisfaction among all customers.
 </li>
 <li>
 Understand product infrastructure with technical and business perspective.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Fresh Graduate pursuing a bachelor&rsquo;s degree in engineering, Business Administration, or any other relevant degree or a maximum of 3 years&rsquo; experience in a Technical and/or Business Support function (B2B) dealing with data analysis.
 </li>
 <li>
 Desire to work in a dynamic and fast-moving startup environment.
 </li>
 <li>
 Data analytics interpretation skills with a consultancy mindset.
 </li>
 <li>
 Passion for supporting client&rsquo;s growth through digital insights and engagement actions.
 </li>
 <li>
 Strong communication, interpersonal, and teamwork skills with the ability to work both independently and collaboratively.
 </li>
 <li>
 Desire to learn of technology, digital and innovation.
 </li>
 <li>
 Excellent listening, negotiation, and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Dataroid?
 
 
 
 
 
 
 
 🌟Great Compensation &amp; Benefits:
 
 We provide an attractive compensation package, including private health insurance, company-supported pension plans, meal vouchers, commute assistance, remote work benefits, and a paid day off for your birthday.
 
 
 
 
 
 
 💻Enhanced Workdays:
 
 Enjoy the flexibility of adaptable working hours. We offer online events, inspiring guest speakers, office snacks, a culture that limits unnecessary meetings, and many other perks designed to make your weekdays more enjoyable.
 
 
 
 
 
 
 📚Growth &amp; Learning:
 
 Your development is our priority, with access to premier online learning platforms like Udemy, digital libraries, and tailored training programs to support your career journey.
 
 
 
 
 
 
 🚀Thriving Community:
 
 Be part of a vibrant and close-knit team that values connection. Enjoy happy hours, workshops, seasonal celebrations, and other events that bring us together.
 
 
 
 
 
 
 🎯Open Dialogue:
 
 Our flat organizational structure fosters direct and transparent communication. Your ideas and feedback are always welcome, ensuring your voice is heard and valued.
 
 
 
 
 
 FIND MORE ABOUT US 🔎
 
 
 Our career page: https://www.dataroid.com/careers/
 
 
 Our company page: https://www.dataroid.com/
 
 
 
 
 
 
 We will process your personal data as part of our recruitment procedures. To find out more, please consult our
 
 Candidate Privacy Notices.
 
</div>

Specialist, Customer Success

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘
 
 
 
 
 
 .
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul
 
 
 
 
 
 
 About ING
 
 
 
 Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make a difference by using the latest Analytics techniques to generate data-driven approaches and conversational products and solve real business challenges, please read on.
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 COO Analytics- Customer Due Diligence
 
 
 
 You will be part of the COO Analytics Tribe, which delivers generative AI , AI and advanced analytics capabilities to all ING countries.
 
 
 Specifically, you will help creating innovative-scalable-data driven solutions in the space of Customer Due Diligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders, including global and local KYC (Know Your Customer).
 
 
 Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions, to strengthen ING leadership in digitalization &amp; support our 40 million customers.
 
 
 We work in a fun and creative environment, and we&rsquo;re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.
 
 
 
 
 
 
 The opportunity
 
 
 
 As a NLP/LLM Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING&rsquo;s KYC agents&rsquo; efficiencies globally.
 
 
 
 
 
 
 A day in the life of an NLP Data Scientist
 
 
 
 
 
 
 After your morning coffee, you stand up with data engineers to understand the best scalable way to get models to run in production, leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues, you think of a new technology you&rsquo;d like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon, you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics, you&rsquo;ll never get bored with many experienced and skilled colleagues around you, the freedom to innovate, and to not only use open source and cloud managed service tooling, but also contribute and teach about them.
 
 
 
 
 
 
 You Will Be Responsible For
 
 
 <ul>
 <li>
 Design and implementation of solutions using Generative AI and LLM technologies
 </li>
 <li>
 Developing production level NLP models
 </li>
 <li>
 Working with ML Engineers to productionize your developed NLP models
 </li>
 <li>
 Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
 </li>
 <li>
 Following best practices in developing ML code and ML software tests
 </li>
 <li>
 Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
 </li>
 <li>
 Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
 </li>
 <li>
 Contributing to strengthening the data analytics capability within the team.
 </li>
 </ul>
 
 
 
 
 
 About you
 
 
 <ul>
 <li>
 Always thinking a step ahead and never satisfied with the status quo
 </li>
 <li>
 Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
 </li>
 <li>
 You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
 </li>
 <li>
 You embrace challenges in a fast-changing and complex environment
 </li>
 <li>
 You are a naturally collaborative person who listens and invests in others to achieve common goals
 </li>
 <li>
 You have a Pro-active and can-do attitude (self-steering)
 </li>
 <li>
 You take pride in your code and take responsibility for keeping it running in production
 </li>
 <li>
 You combine both thinking of the future and a hands-on, right now attitude
 </li>
 <li>
 You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 <ul>
 <li>
 Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
 </li>
 <li>
 A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
 </li>
 <li>
 Experience with operationalisation of LLMs or Generative AI applications
 </li>
 <li>
 You have an in-depth understanding of algorithms like Transformers, Recurrent Neural Networks, and Convolutional Neural Network
 </li>
 <li>
 Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
 </li>
 <li>
 Can build an &ldquo;end-to-end ML software product&rdquo; which has NLP/IR component
 </li>
 <li>
 Experience with Deep Learning frameworks like Tensorflow and PyTorch
 </li>
 <li>
 You have excellent oral and written communication skills at the technical and business level
 </li>
 <li>
 Fluent in written and spoken English.
 </li>
 <li>
 Familiarity with Agile Scrum way of working
 </li>
 </ul>
 
 
 
 
 
 Nice To Have
 
 
 <ul>
 <li>
 Experience with Google Cloud Platform
 </li>
 <li>
 Experience with applying NLP on banking and/or KYC domains
 </li>
 <li>
 Knowledge of DevOps practices including Git and CI/CD
 </li>
 <li>
 Experience with CI/CD for Machine Learning pipeline (CD4ML).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer at ING Hubs Turkiye
 
 
 
 
 
 
 At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here&rsquo;s what you can expect when you join our organization:
 
 
 
 
 
 
 Be Yourself, Be an ING'er
 
 
 
 
 
 <ul>
 <li>
 
 Dynamic Environment:
 
 Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
 </li>
 <li>
 
 Innovation Culture:
 
 Share your innovative ideas while exploring PACE methodology with us.
 </li>
 <li>
 
 Global Exposure:
 
 Participate in global projects and expand your career opportunities.
 </li>
 <li>
 
 Communication &amp; Celebrations:
 
 Enjoy various communication activities and celebrations that promote a friendly work environment.
 </li>
 <li>
 
 Health Care:
 
 Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
 </li>
 <li>
 
 Private Pension Plan:
 
 Secure your future dreams with our private pension plan.
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
</div>

Senior NLP Data Scientist

Innovance Consultancy

<div>
 
 
 Business Intelligence (BI) Developer &ndash; Power BI Focused
 
 
 
 
 
 
 
 About the job:
 
 
 
 
 
 
 Innovance provides the latest generation &amp; high-quality digital transformation initiatives for banks and other financial institutions since 2017 from near sourcing services to technology advisory services. Innovance focuses on impact &amp; delivery by providing world-class strategic IT leadership, remote or on-site support to clients at all layers with measurable results on operational &amp; financial verticals.
 
 
 
 
 
 We are looking for a highly motivated and detail oriented
 
 &lsquo;&rsquo;Business Intelligence Developer&rsquo;&rsquo;
 
 with proven expertise in Power BI to join our data team. The ideal candidate will have strong data modeling and visualization skills, coupled with a solid foundation in SQL and business intelligence concepts.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Be responsible for all Business Intelligence and Reporting needs of our customer.
 </li>
 <li>
 Be a part of a team to enable executive dashboards, prepare visualization and reporting solutions using PowerBI on Azure Cloud and On-prem Environments
 </li>
 <li>
 Ability to design the PowerBI dashboards with advanced concepts to bring best practices
 </li>
 <li>
 Analyze and identify the data requirements of business stakeholders
 </li>
 <li>
 Support team in data modeling, design, test and data quality life cycles
 </li>
 <li>
 Develop collaborative relationship with data team and cross-functional stakeholders for efficient resolutions
 </li>
 <li>
 Translate business needs to technical specifications
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative discipline (e.g., Computer Engineering, Industrial Engineering, MIS, Mathematics, or Statistics)
 </li>
 <li>
 
 Minimum 4 years
 
 of professional experience in business intelligence, analytics, or data engineering roles
 </li>
 <li>
 
 Hands-on experience with Power BI
 
 , including data modeling, DAX, Power Query (M), and report/dashboard development
 </li>
 <li>
 Strong command of
 
 SQL
 
 , with the ability to write complex queries and perform data profiling
 </li>
 <li>
 Experience working with relational databases such as
 
 SQL Server
 
 or
 
 Oracle
 
 </li>
 <li>
 Experience in data warehouse modernization projects is a strong plus
 </li>
 <li>
 Familiarity with
 
 ETL tools
 
 such as Azure Data Factory, SSIS, ODI, or Informatica is preferred
 </li>
 <li>
 Understanding of cloud data platforms (Azure, AWS) is a plus
 </li>
 <li>
 Exposure to other BI tools like Tableau, Qlik Sense, or SAP BO is a bonus
 </li>
 <li>
 Experience working in agile/scrum environments
 </li>
 <li>
 Ability to explain data concepts to both technical and non-technical stakeholders
 </li>
 <li>
 Strong communication skills and fluency in English, both written and verbal
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desired Characteristics:
 
 
 <ul>
 <li>
 Eager to learn new tools and technologies
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Strong teamwork and communication skills
 </li>
 <li>
 Data-driven analytical mindset
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Solution-oriented
 </li>
 <li>
 Self-starter
 </li>
 </ul>
 
 
 
 
 
 
 Follow us:
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/innovance-consultancy
 </li>
 <li>
 LinkedIn: https://www.linkedin.com/company/dataspecta
 </li>
 <li>
 Instagram: https://www.instagram.com/innovanceconsultancy
 </li>
 <li>
 Instagram: https://www.instagram.com/dataspecta
 </li>
 </ul>
</div>

Business Intelligence (BI) Developer – Power BI Focused

KoçDigital

<div>
 
 
 Company Profile
 
 
 
 Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 
 
 
 
 
 
 Role Profile
 
 
 
 We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Time Series &amp; Forecasting Model Development
 
 
 &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 
 
 &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 
 
 &bull; Optimization &amp; Predictive Analytics
 
 
 &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 
 
 &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 
 
 &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 
 
 &bull; Machine Learning Engineering &amp; Model Deployment
 
 
 &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 
 
 &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 
 
 &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 
 
 &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 
 
 
 
 
 
 General Qualifications
 
 
 
 
 
 
 &bull;
 
 Educational Background
 
 
 
 &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field.
 
 
 
 
 
 &bull;
 
 Experience
 
 
 
 &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 
 
 &bull; Technical Skills
 
 
 &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 
 
 &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 
 
 &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 
 
 &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 
 
 &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 
 
 &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 
 
 &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 
 
 &bull; Domain Knowledge
 
 
 &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 
 
 &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 
 
 &bull; Analytical &amp; Business Acumen
 
 
 &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 
 
 &bull; Excellent verbal and written communication skills in English.
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 &bull;
 
 Impactful Work
 
 : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 
 
 &bull;
 
 Innovative Environment:
 
 Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 
 
 
 &bull; Professional Growth:
 
 Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
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 Akademi Plus - Technical and Personal Development Trainings
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 Ko&ccedil; Group and internal career opportunities/rotations
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 On-campus sports center and Ko&ccedil; Community Sports Club opportunities
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 Flextra - Flexible benefits package
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 Social Support Payments
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 Mobile phone and internet
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 TokenFlex digital meal card
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 Birthday leave
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 The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
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 </ul>
 
 
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Senior Data Scientist

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